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SAMIC: Segment Anything with In-Context Spatial Prompt Engineering
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2024
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S. Nagendra
Kashif Rashid
Chaopeng Shen
Daniel Kifer
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Precision, Stability, and Generalization: A Comprehensive Assessment of
RNNs learnability capability for Classifying Counter and Dyck Languages
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2024
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Neisarg Dave
Daniel Kifer
C. Lee Giles
Ankur Mali
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Reconstruction Attacks on Aggressive Relaxations of Differential Privacy
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2024
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Prottay Protivash
John Durrell
Daniel Kifer
Zeyu Ding
Danfeng Zhang
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Geographic Spines in the 2020 Census Disclosure Avoidance System
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2024
|
Ryan Cumings-Menon
Robert Ashmead
Daniel Kifer
Philip Leclerc
Jeffrey Ocker
Michael R. Ratcliffe
Pavel I. Zhuravlev
John M. Abowd
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PDF
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Click Without Compromise: Online Advertising Measurement via Per User
Differential Privacy
|
2024
|
Yingtai Xiao
Jian Du
Shikun Zhang
Qiang Yan
Danfeng Zhang
Daniel Kifer
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PDF
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Investigating Symbolic Capabilities of Large Language Models
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2024
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Neisarg Dave
Daniel Kifer
C. Lee Giles
Ankur Mali
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Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism
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2024
|
Arjun Wilkins
Daniel Kifer
Danfeng Zhang
Brian Karrer
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Stability Analysis of Various Symbolic Rule Extraction Methods from
Recurrent Neural Network
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2024
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Neisarg Dave
Daniel Kifer
C. Lee Giles
Ankur Mali
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PDF
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PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise Binarization
|
2024
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S. Nagendra
Daniel Kifer
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The 2010 Census Confidentiality Protections Failed, Here's How and Why
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2023
|
John M. Abowd
Tamara S. Adams
Robert Ashmead
David Darais
Sourya Dey
Simson Garfinkel
Nathan Goldschlag
Daniel Kifer
Philip Leclerc
Ethan Lew
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An in-depth examination of requirements for disclosure risk assessment
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2023
|
Ron S. Jarmin
John M. Abowd
Robert Ashmead
Ryan Cumings-Menon
Nathan Goldschlag
Michael B. Hawes
Sallie Keller‐McNulty
Daniel Kifer
Philip Leclerc
Jerome P. Reiter
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Differentiable modelling to unify machine learning and physical models for geosciences
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2023
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Chaopeng Shen
Alison Appling
Pierre Gentine
Toshiyuki Bandai
Hoshin V. Gupta
Alexandre M. Tartakovsky
Marco Baity‐Jesi
Fabrizio Fenicia
Daniel Kifer
Li Li
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PDF
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Answering Private Linear Queries Adaptively Using the Common Mechanism
|
2023
|
Yingtai Xiao
Guanhong Wang
Danfeng Zhang
Daniel Kifer
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PDF
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Differentiable modeling to unify machine learning and physical models and advance Geosciences
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2023
|
Chaopeng Shen
Alison Appling
Pierre Gentine
Toshiyuki Bandai
Hoshin V. Gupta
Alexandre M. Tartakovsky
Marco Baity‐Jesi
Fabrizio Fenicia
Daniel Kifer
Xiaofeng Liu
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Differentiable modeling to unify machine learning and physical models and advance Geosciences
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2023
|
Chaopeng Shen
Alison Appling
Pierre Gentine
Toshiyuki Bandai
Hoshin V. Gupta
Alexandre M. Tartakovsky
Marco Baity‐Jesi
Fabrizio Fenicia
Daniel Kifer
Yuanyuan Li
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An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions
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2023
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Yingtai Xiao
Guanlin He
Danfeng Zhang
Daniel Kifer
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A Floating-Point Secure Implementation of the Report Noisy Max with Gap Mechanism
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2023
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Zeyu Ding
J H Durrell
Daniel Kifer
Prottay Protivash
Guanhong Wang
Yuxin Wang
Yingtai Xiao
Danfeng Zhang
|
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On the Computational Complexity and Formal Hierarchy of Second Order Recurrent Neural Networks
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2023
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Ankur Mali
Alexander G. Ororbia
Daniel Kifer
C. Lee Giles
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On the Tensor Representation and Algebraic Homomorphism of the Neural State Turing Machine
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2023
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Ankur Mali
Alexander G. Ororbia
Daniel Kifer
C. Lee Giles
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Estimating Uncertainty in Landslide Segmentation Models
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2023
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S. Nagendra
Chaopeng Shen
Daniel Kifer
|
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+
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The 2010 Census Confidentiality Protections Failed, Here's How and Why
|
2023
|
John M. Abowd
Tamara S. Adams
Robert Ashmead
David Darais
Sourya Dey
Simson Garfinkel
Nathan Goldschlag
Daniel Kifer
Philip Leclerc
Ethan Lew
|
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+
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Disclosure Avoidance for the 2020 Census Demographic and Housing Characteristics File
|
2023
|
Ryan Cumings-Menon
Robert Ashmead
Daniel Kifer
Philip Leclerc
Matthew Spence
Pavel I. Zhuravlev
John M. Abowd
|
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+
PDF
Chat
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The 2010 Census Confidentiality Protections Failed, Here's How and Why
|
2023
|
John M. Abowd
Tamara S. Adams
Robert Ashmead
David Darais
Sourya Dey
Simson Garfinkel
Nathan Goldschlag
Daniel Kifer
Philip Leclerc
Ethan Lew
|
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+
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2020 Census Redistricting Data (P.L. 94-171) Noisy Measurement File
|
2023
|
John M. Abowd
Robert Ashmead
Ryan Cumings-Menon
Simson Garfinkel
Micah Heineck
Christine Antonie Heiss
Robert Johns
Daniel Kifer
Philip Leclerc
Ashwin Machanavajjhala
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2010 Census Production Settings Redistricting Data (P.L. 94-171) Demonstration Noisy Measurement File (2023-04-03)
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2023
|
John M. Abowd
Robert Ashmead
Ryan Cumings-Menon
Simson Garfinkel
Micah Heineck
Christine Antonie Heiss
Robert Johns
Daniel Kifer
Philip Leclerc
Ashwin Machanavajjhala
|
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PDF
Chat
|
The 2020 Census Disclosure Avoidance System TopDown Algorithm
|
2022
|
John M. Abowd
Robert Ashmead
Ryan Cumings-Menon
Simson Garfinkel
Micah Heineck
Christine Antonie Heiss
Robert Johns
Daniel Kifer
Philip Leclerc
Ashwin Machanavajjhala
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PDF
Chat
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The Data Synergy Effects of Time‐Series Deep Learning Models in Hydrology
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2022
|
Kuai Fang
Daniel Kifer
Kathryn Lawson
Dapeng Feng
Chaopeng Shen
|
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+
PDF
Chat
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Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder
|
2022
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Ankur Mali
Alexander G. Ororbia
Daniel Kifer
C. Lee Giles
|
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PDF
Chat
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Free gap estimates from the exponential mechanism, sparse vector, noisy max and related algorithms
|
2022
|
Zeyu Ding
Yuxin Wang
Yingtai Xiao
Guanhong Wang
Danfeng Zhang
Daniel Kifer
|
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+
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Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism
|
2022
|
Brian Karrer
Daniel Kifer
Arjun Wilkins
Danfeng Zhang
|
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+
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Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder
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2022
|
Ankur Mali
Alexander G. Ororbia
Daniel Kifer
C. Lee Giles
|
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+
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The 2020 Census Disclosure Avoidance System TopDown Algorithm
|
2022
|
John M. Abowd
Robert Ashmead
Ryan Cumings-Menon
Simson Garfinkel
Micah Heineck
Christine Antonie Heiss
Robert Johns
Daniel Kifer
Philip Leclerc
Ashwin Machanavajjhala
|
|
+
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An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems
|
2022
|
Ankur Mali
Alexander G. Ororbia
Daniel Kifer
C. Lee Giles
|
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Geographic Spines in the 2020 Census Disclosure Avoidance System
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2022
|
John M. Abowd
Robert Ashmead
Ryan Cumings-Menon
Daniel Kifer
Philip Leclerc
Jeffrey Ocker
Michael J. H. Ratcliffe
Pavel I. Zhuravlev
|
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Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census
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2022
|
Daniel Kifer
John M. Abowd
Robert Ashmead
Ryan Cumings-Menon
Philip Leclerc
Ashwin Machanavajjhala
William Sexton
Pavel I. Zhuravlev
|
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+
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Reconstruction Attacks on Aggressive Relaxations of Differential Privacy
|
2022
|
Prottay Protivash
J H Durrell
Zeyu Ding
Danfeng Zhang
Daniel Kifer
|
|
+
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PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise Binarization
|
2022
|
S. Nagendra
Chaopeng Shen
Daniel Kifer
|
|
+
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Answering Private Linear Queries Adaptively using the Common Mechanism
|
2022
|
Yingtai Xiao
Guanhong Wang
Danfeng Zhang
Daniel Kifer
|
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+
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An Uncertainty Principle is a Price of Privacy-Preserving Microdata
|
2021
|
John M. Abowd
Robert Ashmead
Ryan Cumings-Menon
Simson Garfinkel
Daniel Kifer
Philip Leclerc
William Sexton
Ashley E Simpson
Christine Task
Pavel Zhuravlev
|
|
+
PDF
Chat
|
DPGen: Automated Program Synthesis for Differential Privacy
|
2021
|
Yuxin Wang
Zeyu Ding
Yingtai Xiao
Daniel Kifer
Danfeng Zhang
|
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+
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An Uncertainty Principle is a Price of Privacy-Preserving Microdata.
|
2021
|
John M. Abowd
Robert Ashmead
Ryan Cumings-Menon
Simson Garfinkel
Daniel Kifer
Philip Leclerc
William Sexton
Ashley E Simpson
Christine Task
Pavel Zhuravlev
|
|
+
PDF
Chat
|
Optimizing fitness-for-use of differentially private linear queries
|
2021
|
Yingtai Xiao
Zeyu Ding
Yuxin Wang
Danfeng Zhang
Daniel Kifer
|
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PDF
Chat
|
OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas
|
2021
|
Shivansh Rao
Vikas Kumar
Daniel Kifer
C. Lee Giles
Ankur Mali
|
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PDF
Chat
|
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units
|
2021
|
Ankur Mali
Alexander G. Ororbia
Daniel Kifer
C. Lee Giles
|
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+
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Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units
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2021
|
Ankur Mali
Alexander G. Ororbia
Daniel Kifer
C. Lee Giles
|
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+
PDF
Chat
|
An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems
|
2021
|
Ankur Mali
Alexander G. Ororbia
Daniel Kifer
C. Lee Giles
|
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OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas
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2021
|
Shivansh Rao
Vikas Kumar
Daniel Kifer
C. Lee Giles
Ankur Mali
|
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The Permute-and-Flip Mechanism is Identical to Report-Noisy-Max with Exponential Noise
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2021
|
Zeyu Ding
Daniel Kifer
M N E Sayed Saghaian
Thomas Steinke
Yuxin Wang
Yingtai Xiao
Danfeng Zhang
|
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+
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An Uncertainty Principle is a Price of Privacy-Preserving Microdata
|
2021
|
John M. Abowd
Robert Ashmead
Ryan Cumings-Menon
Simson Garfinkel
Daniel Kifer
Philip Leclerc
William Sexton
Ashley Simpson
Christine Task
Pavel I. Zhuravlev
|
|
+
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Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units
|
2021
|
Ankur Mali
Alexander G. Ororbia
Daniel Kifer
C. Lee Giles
|
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+
PDF
Chat
|
Evaluating the Potential and Challenges of an Uncertainty Quantification Method for Long Short‐Term Memory Models for Soil Moisture Predictions
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2020
|
Kuai Fang
Daniel Kifer
Kathryn Lawson
Chaopeng Shen
|
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PDF
Chat
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Scaling up Differentially Private Deep Learning with Fast Per-Example Gradient Clipping
|
2020
|
Jae Wook Lee
Daniel Kifer
|
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+
PDF
Chat
|
CheckDP: An Automated and Integrated Approach for Proving Differential Privacy or Finding Precise Counterexamples
|
2020
|
Yuxin Wang
Zeyu Ding
Daniel Kifer
Danfeng Zhang
|
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+
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Differentially Private Deep Learning with Direct Feedback Alignment.
|
2020
|
Jae Wook Lee
Daniel Kifer
|
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+
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Scaling up Differentially Private Deep Learning with Fast Per-Example Gradient Clipping
|
2020
|
Jae Wook Lee
Daniel Kifer
|
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+
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Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack
|
2020
|
Ankur Mali
Alexander G. Ororbia
Daniel Kifer
C. Lee Giles
|
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Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment.
|
2020
|
Alexander G. Ororbia
Ankur Mali
Daniel Kifer
C. Lee Giles
|
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+
PDF
Chat
|
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations
|
2020
|
Alexander G. Ororbia
Ankur Mali
C. Lee Giles
Daniel Kifer
|
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+
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Guidelines for Implementing and Auditing Differentially Private Systems
|
2020
|
Daniel Kifer
Solomon Messing
Aaron Roth
Abhradeep Thakurta
Danfeng Zhang
|
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Large-Scale Gradient-Free Deep Learning with Recursive Local Representation Alignment
|
2020
|
Alexander G. Ororbia
Ankur Mali
Daniel Kifer
C. Lee Giles
|
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+
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Optimizing Fitness-For-Use of Differentially Private Linear Queries
|
2020
|
Yingtai Xiao
Zeyu Ding
Yuxin Wang
Danfeng Zhang
Daniel Kifer
|
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+
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Recognizing Long Grammatical Sequences using Recurrent Networks Augmented with an External Differentiable Stack
|
2020
|
Ankur Mali
Alexander G. Ororbia
Daniel Kifer
C. Lee Giles
|
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+
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The Neural Coding Framework for Learning Generative Models
|
2020
|
Alexander G. Ororbia
Daniel Kifer
|
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+
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Differentially Private Deep Learning with Direct Feedback Alignment
|
2020
|
Jae Wook Lee
Daniel Kifer
|
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+
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Scaling up Differentially Private Deep Learning with Fast Per-Example Gradient Clipping
|
2020
|
Jae Wook Lee
Daniel Kifer
|
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+
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Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack
|
2020
|
Ankur Mali
Alexander G. Ororbia
Daniel Kifer
C. Lee Giles
|
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+
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Free Gap Estimates from the Exponential Mechanism, Sparse Vector, Noisy Max and Related Algorithms
|
2020
|
Zeyu Ding
Yuxin Wang
Yingtai Xiao
Guanhong Wang
Danfeng Zhang
Daniel Kifer
|
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+
PDF
Chat
|
Free gap information from the differentially private sparse vector and noisy max mechanisms
|
2019
|
Zeyu Ding
Yuxin Wang
Danfeng Zhang
Daniel Kifer
|
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ET-Lasso
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2019
|
Songshan Yang
Jiawei Wen
Xiang Zhan
Daniel Kifer
|
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+
PDF
Chat
|
Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching
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2019
|
Yang Xiao
Madian Khabsa
Miaosen Wang
Wei Wang
Ahmed Hassan Awadallah
Daniel Kifer
C. Lee Giles
|
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PDF
Chat
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Proving differential privacy with shadow execution
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2019
|
Yuxin Wang
Zeyu Ding
Guanhong Wang
Daniel Kifer
Danfeng Zhang
|
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+
PDF
Chat
|
A Neural Temporal Model for Human Motion Prediction
|
2019
|
Anand Gopalakrishnan
Ankur Mali
Daniel Kifer
C. Lee Giles
Alexander G. Ororbia
|
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Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively.
|
2019
|
Alexander G. Ororbia
Ankur Mali
Daniel Kifer
C. Lee Giles
|
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Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting
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2019
|
Alexander G. Ororbia
Ankur Mali
Daniel Kifer
C. Lee Giles
|
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+
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Renyi Differentially Private ERM for Smooth Objectives
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2019
|
Chen Chen
Jae Wook Lee
Daniel Kifer
|
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+
PDF
Chat
|
Differentially Private Confidence Intervals for Empirical Risk Minimization
|
2019
|
Yue Wang
Daniel Kifer
Jae Wook Lee
|
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+
PDF
Chat
|
A Simple Baseline for Travel Time Estimation using Large-scale Trip Data
|
2019
|
Hongjian Wang
Xianfeng Tang
Yu-Hsuan Kuo
Daniel Kifer
Zhenhui Li
|
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+
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Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms
|
2019
|
Zeyu Ding
Yuxin Wang
Danfeng Zhang
Daniel Kifer
|
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+
PDF
Chat
|
Large Scale Scene Text Verification with Guided Attention
|
2019
|
Dafang He
Yeqing Li
Alexander N. Gorban
Derrall Heath
Julian Ibarz
Qian Yu
Daniel Kifer
C. Lee Giles
|
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+
PDF
Chat
|
TextContourNet: A Flexible and Effective Framework for Improving Scene Text Detection Architecture With a Multi-Task Cascade
|
2019
|
Dafang He
Xiao Yang
Daniel Kifer
C. Lee Giles
|
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+
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Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting
|
2019
|
Alexander G. Ororbia
Ankur Mali
Daniel Kifer
C. Lee Giles
|
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+
PDF
Chat
|
Reminiscenses of Steve Fienberg
|
2018
|
Daniel Kifer
|
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+
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Detecting Outliers in Data with Correlated Measures
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2018
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Yu-Hsuan Kuo
Zhenhui Li
Daniel Kifer
|
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+
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Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations.
|
2018
|
Alexander G. Ororbia
Ankur Mali
C. Lee Giles
Daniel Kifer
|
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+
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Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations.
|
2018
|
Alexander G. Ororbia
Ankur Mali
C. Lee Giles
Daniel Kifer
|
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+
PDF
Chat
|
Detecting Violations of Differential Privacy
|
2018
|
Zeyu Ding
Yuxin Wang
Guanhong Wang
Danfeng Zhang
Daniel Kifer
|
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+
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ET-Lasso: Efficient Tuning of Lasso for High-Dimensional Data.
|
2018
|
Songshan Yang
Jiawei Wen
Xiang Zhan
Daniel Kifer
|
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A Neural Temporal Model for Human Motion Prediction
|
2018
|
Anand Gopalakrishnan
Ankur Mali
Daniel Kifer
C. Lee Giles
Alexander G. Ororbia
|
|
+
PDF
Chat
|
Differentially private hierarchical count-of-counts histograms
|
2018
|
Yu-Hsuan Kuo
Cho-Chun Chiu
Daniel Kifer
Michael Hay
Ashwin Machanavajjhala
|
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+
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Toward Detecting Violations of Differential Privacy.
|
2018
|
Ding Ding
Yuxin Wang
Guanhong Wang
Danfeng Zhang
Daniel Kifer
|
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+
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Guided Attention for Large Scale Scene Text Verification
|
2018
|
Dafang He
Yeqing Li
Alexander N. Gorban
Derrall Heath
Julian Ibarz
Qian Yu
Daniel Kifer
C. Lee Giles
|
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+
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Differentially Private Hierarchical Group Size Estimation.
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2018
|
Yu-Hsuan Kuo
Cho-Chun Chiu
Daniel Kifer
Michael Hay
Ashwin Machanavajjhala
|
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+
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Conducting Credit Assignment by Aligning Local Representations
|
2018
|
Alexander G. Ororbia
Ankur Mali
Daniel Kifer
C. Lee Giles
|
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+
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Differentially Private Confidence Intervals for Empirical Risk Minimization
|
2018
|
Yue Wang
Daniel Kifer
Jae Wook Lee
|
|
+
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TextContourNet: a Flexible and Effective Framework for Improving Scene Text Detection Architecture with a Multi-task Cascade
|
2018
|
Dafang He
Xiao Yang
Daniel Kifer
C. Lee Giles
|
|
+
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Large Scale Scene Text Verification with Guided Attention
|
2018
|
Dafang He
Yeqing Li
Alexander N. Gorban
Derrall Heath
Julian Ibarz
Qian Yu
Daniel Kifer
C. Lee Giles
|
|
+
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ET-Lasso: A New Efficient Tuning of Lasso-type Regularization for High-Dimensional Data
|
2018
|
Songshan Yang
Jiawei Wen
Xiang Zhan
Daniel Kifer
|
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+
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Differentially Private Hierarchical Count-of-Counts Histograms
|
2018
|
Yu-Hsuan Kuo
Cho-Chun Chiu
Daniel Kifer
Michael Hay
Ashwin Machanavajjhala
|
|
+
|
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations
|
2018
|
Alexander G. Ororbia
Ankur Mali
C. Lee Giles
Daniel Kifer
|
|
+
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A Neural Temporal Model for Human Motion Prediction
|
2018
|
Anand Gopalakrishnan
Ankur Mali
Daniel Kifer
C. Lee Giles
Alexander G. Ororbia
|
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+
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Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget
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2018
|
Jae Wook Lee
Daniel Kifer
|
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+
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Prolongation of SMAP to Spatiotemporally Seamless Coverage of Continental U.S. Using a Deep Learning Neural Network
|
2017
|
Kuai Fang
Chaopeng Shen
Daniel Kifer
Xiao Yang
|
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+
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A New Class of Private Chi-Square Hypothesis Tests.
|
2017
|
Ryan Rogers
Daniel Kifer
|
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+
PDF
Chat
|
Predicting Demographics of High-Resolution Geographies with Geotagged Tweets
|
2017
|
Omar Montasser
Daniel Kifer
|
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+
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Predicting Demographics of High-Resolution Geographies with Geotagged Tweets
|
2017
|
Omar Montasser
Daniel Kifer
|
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+
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Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network
|
2017
|
Xiao Yang
Ersin Yumer
Paul Asente
Mike Kraley
Daniel Kifer
C. Lee Giles
|
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+
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Predicting Demographics of High-Resolution Geographies with Geotagged Tweets.
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2017
|
Omar Montasser
Daniel Kifer
|
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+
PDF
Chat
|
LightDP: towards automating differential privacy proofs
|
2017
|
Danfeng Zhang
Daniel Kifer
|
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+
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Predicting Demographics of High-Resolution Geographies with Geotagged Tweets
|
2017
|
Omar Montasser
Daniel Kifer
|
|
+
PDF
Chat
|
LightDP: towards automating differential privacy proofs
|
2016
|
Danfeng Zhang
Daniel Kifer
|
|
+
|
A simple baseline for travel time estimation using large-scale trip data
|
2016
|
Hongjian Wang
Yu-Hsuan Kuo
Daniel Kifer
Zhenhui Li
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A New Class of Private Chi-Square Tests
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2016
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Daniel Kifer
Ryan Rogers
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AutoPriv: Automating Differential Privacy Proofs.
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2016
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Danfeng Zhang
Daniel Kifer
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Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization
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2016
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Alexander G. Ororbia
C. Lee Giles
Daniel Kifer
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Postprocessing for Iterative Differentially Private Algorithms
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2016
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Jae-Woo Lee
Daniel Kifer
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A New Class of Private Chi-Square Tests
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2016
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Daniel Kifer
Ryan Rogers
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Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading
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2016
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Xiao Yang
Dafang He
Wenyi Huang
Zihan Zhou
Alexander G. Ororbia
Daniel Kifer
C. Lee Giles
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Differentially Private Hypothesis Testing, Revisited.
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2015
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Yue Wang
Jae Wook Lee
Daniel Kifer
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A Simple Baseline for Travel Time Estimation using Large-Scale Trip Data
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2015
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Hongjian Wang
Zhenhui Li
Yu-Hsuan Kuo
Daniel Kifer
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Private Posterior distributions from Variational approximations
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2015
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Vishesh Karwa
Daniel Kifer
Aleksandra Slavković
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Revisiting Differentially Private Hypothesis Tests for Categorical Data
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2015
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Yue Wang
Jae Wook Lee
Daniel Kifer
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PDF
Chat
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Introduction to Special Section
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2013
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Daniel Kifer
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Private Convex Empirical Risk Minimization and High-dimensional Regression
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2012
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Daniel Kifer
Adam Smith
Abhradeep Thakurta
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A Framework for Extracting Semantic Guarantees from Privacy
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2012
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Bing-Rong Lin
Daniel Kifer
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Private convex empirical risk minimization and high-dimensional regression
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2012
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Daniel Kifer
Adam Smith
Abhradeep Thakurta
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+
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Worst-Case Background Knowledge for Privacy-Preserving Data Publishing
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2007
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David Martín
Daniel Kifer
Ashwin Machanavajjhala
Johannes Gehrke
Joseph Y. Halpern
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+
PDF
Chat
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Worst-Case Background Knowledge for Privacy-Preserving Data Publishing
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2007
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David Martín
Daniel Kifer
Ashwin Machanavajjhala
Johannes Gehrke
Joseph Y. Halpern
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+
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Worst-Case Background Knowledge for Privacy-Preserving Data Publishing
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2007
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David Martín
Daniel Kifer
Ashwin Machanavajjhala
Johannes Gehrke
Joseph Y. Halpern
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