Milind Kulkarni

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Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Deep neural networks are easily fooled: High confidence predictions for unrecognizable images 2015 Anh‐Tu Nguyen
Jason Yosinski
Jeff Clune
1
+ PDF Chat Automated feedback generation for introductory programming assignments 2013 Rishabh Singh
Sumit Gulwani
Armando Solar-Lezama
1
+ PDF Chat Synchronization in complex oscillator networks and smart grids 2013 Florian Dörfler
Michael Chertkov
Francesco Bullo
1
+ PDF Chat Iterative approximate byzantine consensus in arbitrary directed graphs 2012 Nitin H. Vaidya
Lewis Tseng
Guanfeng Liang
1
+ PDF Chat Consensus Computation in Unreliable Networks: A System Theoretic Approach 2011 Fabio Pasqualetti
Antonio Bicchi
Francesco Bullo
1
+ PDF Chat Distributed Constrained Optimization by Consensus-Based Primal-Dual Perturbation Method 2014 Tsung‐Hui Chang
Angelia Nedić
Anna Scaglione
1
+ PDF Chat The Limitations of Deep Learning in Adversarial Settings 2016 Nicolas Papernot
Patrick McDaniel
Somesh Jha
Matt Fredrikson
Z. Berkay Celik
Ananthram Swami
1
+ PDF Chat A Distributed Algorithm for Solving a Linear Algebraic Equation 2015 Shaoshuai Mou
Ji Liu
A. Stephen Morse
1
+ PDF Chat Practical Black-Box Attacks against Machine Learning 2017 Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
Somesh Jha
Z. Berkay Celik
Ananthram Swami
1
+ PDF Chat DeepXplore 2017 Kexin Pei
Yinzhi Cao
Junfeng Yang
Suman Jana
1
+ Gradient Coding via the Stochastic Block Model. 2018 Zachary Charles
Dimitris Papailiopoulos
1
+ PDF Chat Dissecting Contextual Word Embeddings: Architecture and Representation 2018 Matthew E. Peters
Mark E Neumann
Luke Zettlemoyer
Wen-tau Yih
1
+ Efficient Formal Safety Analysis of Neural Networks 2018 Shiqi Wang
Kexin Pei
Justin Whitehouse
Junfeng Yang
Suman Jana
1
+ TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing 2018 Augustus Odena
Ian Goodfellow
1
+ Certified Adversarial Robustness via Randomized Smoothing 2019 Jeremy M. Cohen
Elan Rosenfeld
J. Zico Kolter
1
+ Adversarial Machine Learning at Scale 2016 Alexey Kurakin
Ian Goodfellow
Samy Bengio
1
+ Formal Security Analysis of Neural Networks using Symbolic Intervals 2018 Shiqi Wang
Kexin Pei
Justin Whitehouse
Junfeng Yang
Suman Jana
1
+ PDF Chat Deep neural network architectures for modulation classification 2017 Xiaoyu Liu
Diyu Yang
Aly El Gamal
1
+ PDF Chat Towards Evaluating the Robustness of Neural Networks 2017 Nicholas Carlini
David Wagner
1
+ PDF Chat Certified Robustness to Adversarial Examples with Differential Privacy 2019 Mathias Lécuyer
Vaggelis Atlidakis
Roxana Geambasu
Daniel Hsu
Suman Jana
1
+ PDF Chat Straggler Mitigation by Delayed Relaunch of Tasks 2018 Mehmet S. Aktaş
Pei Peng
Emina Soljanin
1
+ PDF Chat Optimization problems with low SWAP tactical computing 2019 Mee Seong Im
Venkateswara R. Dasari
Lubjana Beshaj
Dale R. Shires
1
+ PDF Chat Deep Learning for Interference Identification: Band, Training SNR, and Sample Selection 2019 Xiwen Zhang
Tolunay Seyfi
Shengtai Ju
Sharan Ramjee
Aly El Gamal
Yonina C. Eldar
1
+ Lower Bounds on Adversarial Robustness from Optimal Transport 2019 Arjun Nitin Bhagoji
Daniel Cullina
Prateek Mittal
1
+ Spherical Text Embedding 2019 Meng Yu
Jiaxin Huang
Guangyuan Wang
Chao Zhang
Honglei Zhuang
Lance Kaplan
Jiawei Han
1
+ Straggler Mitigation With Tiered Gradient Codes 2020 Shanuja Sasi
V. Lalitha
Vaneet Aggarwal
B. Sundar Rajan
1
+ A Reinforcement Learning Based Approach for Joint Multi-Agent Decision Making. 2019 Mridul Agarwal
Vaneet Aggarwal
1
+ Optimal Server Selection for Straggler Mitigation 2020 Ajay Badita
Parimal Parag
Vaneet Aggarwal
1
+ Multivariate outlier detection based on a robust Mahalanobis distance with shrinkage estimators 2019 Elisa Cabana
Rosa E. Lillo
Henry Laniado
1
+ PDF Chat VStore 2019 Tiantu Xu
Luis Materon Botelho
Felix Xiaozhu Lin
1
+ PDF Chat Joint Latency and Cost Optimization for Erasure-Coded Data Center Storage 2015 Yu Xiang
Tian Lan
Vaneet Aggarwal
Yih-Farn R. Chen
1
+ Distributed Continuous-Time Convex Optimization With Time-Varying Cost Functions 2016 Salar Rahili
Wei Ren
1
+ PDF Chat Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms 2018 Thomas Gabor
Lenz Belzner
Thomy Phan
Kyrill Schmid
1
+ Evasion Attacks against Machine Learning at Test Time 2013 Battista Biggio
Igino Corona
Davide Maiorca
Blaine Nelson
Nedim Šrndić
Pavel Laskov
Giorgio Giacinto
Fabio Roli
1