David J. Miller

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All published works

Action	Title	Year	Authors
+ PDF Chat	Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time Detection	2024	Hang Wang Zhen Xiang David J. Miller George Kesidis
+ PDF Chat	On Trojans in Refined Language Models	2024	Jayaram Raghuram George Kesidis David J. Miller
+ PDF Chat	Universal Post-Training Reverse-Engineering Defense Against Backdoors in Deep Neural Networks	2024	Xi Li Hang Wang David J. Miller George Kesidis
+ PDF Chat	A BIC-Based Mixture Model Defense Against Data Poisoning Attacks on Classifiers	2023	Xi Li David J. Miller Zhen Xiang George Kesidis
+	References	2023	David J. Miller Zhen Xiang George Kesidis
+	Training Set Cleansing of Backdoor Poisoning by Self-Supervised Representation Learning	2023	Hang Wang Sahar Karami Ousmane Dia Hippolyt Ritter Ehsan Emamjomeh-Zadeh Jiahui Chen Zhen Xiang David J. Miller George Kesidis
+	Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time Detection	2023	Hang Wang Zhen Xiang David J. Miller George Kesidis
+	Backdoor Mitigation by Correcting the Distribution of Neural Activations	2023	Xi Li Zhen Xiang David J. Miller George Kesidis
+	Post-Training Overfitting Mitigation in DNN Classifiers	2023	Hang Wang David J. Miller George Kesidis
+ PDF Chat	Anomaly detection of adversarial examples using class-conditional generative adversarial networks	2022	Hang Wang David J. Miller George Kesidis
+ PDF Chat	Detecting Backdoor Attacks against Point Cloud Classifiers	2022	Zhen Xiang David J. Miller Siheng Chen Xi Li George Kesidis
+	Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios	2022	Zhen Xiang David J. Miller George Kesidis
+	Improved Constraints on Effective Top Quark Interactions using Edge Convolution Networks	2021	Oliver Atkinson Akanksha Bhardwaj S. G. R. Brown Christoph Englert David J. Miller Panagiotis Stylianou
+ PDF Chat	A Backdoor Attack against 3D Point Cloud Classifiers	2021	Zhen Xiang David J. Miller Siheng Chen Xi Li George Kesidis
+	Anomaly Detection of Test-Time Evasion Attacks using Class-conditional Generative Adversarial Networks.	2021	Hang Wang David J. Miller George Kesidis
+ PDF Chat	L-Red: Efficient Post-Training Detection of Imperceptible Backdoor Attacks Without Access to the Training Set	2021	Zhen Xiang David J. Miller George Kesidis
+ PDF Chat	Reverse engineering imperceptible backdoor attacks on deep neural networks for detection and training set cleansing	2021	Zhen Xiang David J. Miller George Kesidis
+ PDF Chat	A Backdoor Attack against 3D Point Cloud Classifiers	2021	Zhen Xiang David J. Miller Siheng Chen Xi Li George Kesidis
+	A Backdoor Attack against 3D Point Cloud Classifiers	2021	Zhen Xiang David J. Miller Siheng Chen Xi Li George Kesidis
+	A BIC-based Mixture Model Defense against Data Poisoning Attacks on Classifiers	2021	Xi Li David J. Miller Zhen Xiang George Kesidis
+	Robust and Active Learning for Deep Neural Network Regression	2021	Xi Li George Kesidis David J. Miller Maxime Bergeron Ryan Ferguson Vladimir Lucic
+	Backdoor Attack and Defense for Deep Regression	2021	Xi Li George Kesidis David J. Miller Vladimir Lucic
+	Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks	2021	Xi Li Zhen Xiang David J. Miller George Kesidis
+ PDF Chat	Detection of Backdoors in Trained Classifiers Without Access to the Training Set	2020	Zhen Xiang David J. Miller George Kesidis
+ PDF Chat	Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation	2020	Haoti Zhong Cong Liao Anna Squicciarini Sencun Zhu David J. Miller
+	Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing	2020	Zhen Xiang David J. Miller George Kesidis
+	L-RED: Efficient Post-Training Detection of Imperceptible Backdoor Attacks without Access to the Training Set	2020	Zhen Xiang David J. Miller George Kesidis
+	Revealing Backdoors, Post-Training, in DNN Classifiers via Novel Inference on Optimized Perturbations Inducing Group Misclassification	2019	Zhen Xiang David J. Miller George Kesidis
+ PDF Chat	When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time	2019	David J. Miller Yujia Wang George Kesidis
+ PDF Chat	When Not to Classify: Detection of Reverse Engineering Attacks on DNN Image Classifiers	2019	Yujia Wang David J. Miller George Kesidis
+ PDF Chat	Learned Neural Iterative Decoding for Lossy Image Compression Systems	2019	Alexander G. Ororbia Ankur Mali Jian Wu Scott O'Connell William Dreese David J. Miller C. Lee Giles
+	Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks	2019	David J. Miller Zhen Xiang George Kesidis
+	Revealing Perceptible Backdoors, without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic	2019	Zhen Xiang David J. Miller George Kesidis
+	Notes on Margin Training and Margin p-Values for Deep Neural Network Classifiers	2019	George Kesidis David J. Miller Zhen Xiang
+	Detection of Backdoors in Trained Classifiers Without Access to the Training Set	2019	Zhen Xiang David J. Miller George Kesidis
+	A Mixture Model Based Defense for Data Poisoning Attacks Against Naive Bayes Spam Filters	2018	David J. Miller Xinyi Hu Zhen Xiang George Kesidis
+	Constrained maximum entropy models to select genotype interactions associated with censored failure times	2018	Aotian Yang David J. Miller Qing Pan
+	Learned Iterative Decoding for Lossy Image Compression Systems.	2018	Alexander G. Ororbia Ankur Mali Jian Wu Scott O'Connell David J. Miller C. Lee Giles
+	Learned Neural Iterative Decoding for Lossy Image Compression Systems	2018	Alexander G. Ororbia Ankur Mali Jian Wu Scott O'Connell David J. Miller C. Lee Giles
+	Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation	2018	Cong Liao Haoti Zhong Anna Squicciarini Sencun Zhu David J. Miller
+	When Not to Classify: Detection of Reverse Engineering Attacks on DNN Image Classifiers	2018	Yujia Wang David J. Miller George Kesidis
+	When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time	2017	David J. Miller Yulia Wang George Kesidis
+ PDF Chat	Adversarial learning: A critical review and active learning study	2017	David J. Miller Xingbo Hu Zhen‐Bin Qiu George Kesidis
+	Adversarial Learning: A Critical Review and Active Learning Study	2017	David J. Miller Xinyi Hu Zhicong Qiu George Kesidis
+	Adversarial Learning: A Critical Review and Active Learning Study	2017	David J. Miller Xinyi Hu Zhicong Qiu George Kesidis
+ PDF Chat	Convex Analysis of Mixtures for Separating Non-negative Well-grounded Sources	2016	Yitan Zhu Niya Wang David J. Miller Yue Wang
+ PDF Chat	ATD: Anomalous Topic Discovery in High Dimensional Discrete Data	2016	Hossein Soleimani David J. Miller
+ PDF Chat	Detecting clusters of anomalies on low-dimensional feature subsets with application to network traffic flow data	2015	Zhicong Qiu David J. Miller George Kesidis
+ PDF Chat	RESISTANCE SCALING FACTOR OF THE PILLOW AND FRACTALINA FRACTALS	2015	Michael J. Ignatowich Daniel J. Kelleher Catherine E. Maloney David J. Miller Khrystyna Serhiyenko
+	Detecting Clusters of Anomalies on Low-Dimensional Feature Subsets with Application to Network Traffic Flow Data	2015	Zhicong Qiu David J. Miller George Kesidis
+ PDF Chat	Parsimonious Topic Models with Salient Word Discovery	2014	Hossein Soleimani David J. Miller
+	Generation bidding game with flexible demand	2014	Yuquan Shan Jayaram Raghuram George Kesidis Christopher Griffin Karl Levitt David J. Miller Jeff Rowe Anna Scaglione
+	Convex Analysis of Mixtures for Separating Non-negative Well-grounded Sources	2014	Yitan Zhu Niya Wang David J. Miller Yue Wang
+	Generation bidding game with flexible demand	2014	Yuquan Shan Jayaram Raghuram George Kesidis Christopher Griffin Karl Levitt David J. Miller Jeffry Rowe Anna Scaglione
+	Multicategory Crowdsourcing Accounting for Plurality in Worker Skill and Intention, Task Difficulty, and Task Heterogeneity	2013	Aditya Kurve David J. Miller George Kesidis
+ PDF Chat	SPECTRUM AND HEAT KERNEL ASYMPTOTICS ON GENERAL LAAKSO SPACES	2012	Matthew Begué Levi DeValve David J. Miller Benjamin Steinhurst
+	Computation of the scaling factor of resistance forms of the pillow and fractalina fractals	2012	Michael J. Ignatowich Daniel J. Kelleher Catherine E. Maloney David J. Miller Khrystyna Nechyporenko
+ PDF Chat	An MRI-Derived Definition of MCI-to-AD Conversion for Long-Term, Automatic Prognosis of MCI Patients	2011	Yaman Aksu David J. Miller George Kesidis Don C. Bigler Qing X. Yang
+	Game Theoretic Iterative Partitioning for Dynamic Load Balancing in Distributed Network Simulation	2011	Aditya Kurve Christopher Griffin David J. Miller George Kesidis
+	Joint Parsimonious Modeling and Model Order Selection for Multivariate Gaussian Mixtures	2010	Scott C Markley David J. Miller
+	Spectrum and Heat Kernel Asymptotics on General Laakso Spaces	2009	Matthew Begué Levi DeValve David J. Miller Benjamin Steinhurst
+	Hierarchical maximum entropy modeling for regression	2009	Yanxin Zhang David J. Miller George Kesidis
+	A mixture model and EM algorithm for robust classification, outlier rejection, and class discovery	2003	David J. Miller Jamie A. Browning
+	Approximate maximum entropy joint feature inference for discrete space classification	2003	David J. Miller Lian Yan
+	General statistical inference by an approximate application of the maximum entropy principle	2003	Lian Yan David J. Miller
+	A mixture model framework for class discovery and outlier detection in mixed labeled/unlabeled data sets	2003	David J. Miller Jamie A. Browning
+	Approximate maximum entropy learning for classification: comparison with other methods	2002	Lian Yan David J. Miller
+	Hybrid fractal zerotree wavelet image coding	2002	Taekon Kim R.E. Van Dyck David J. Miller
+	Approximate Maximum Entropy Joint Feature Inference Consistent with Arbitrary Lower-Order Probability Constraints: Application to Statistical Classification	2000	David J. Miller Lian Yan
+	Combined Learning and Use for a Mixture Model Equivalent to the RBF Classifier	1998	David J. Miller Hasan S. Uyar

Common Coauthors

Coauthor	Papers Together
George Kesidis	46
Zhen Xiang	22
Xi Li	10
Hang Wang	5
Zhicong Qiu	4
Siheng Chen	4
Christopher Griffin	3
Ankur Mali	3
C. Lee Giles	3
Xinyi Hu	3
Scott O'Connell	3
Alexander G. Ororbia	3
Jayaram Raghuram	3
Yujia Wang	3
Lian Yan	3
Levi DeValve	2
Hossein Soleimani	2
Jian Wu	2
Hang Wang	2
Zhen Xiang	2
Michael J. Ignatowich	2
Aditya Kurve	2
Haoti Zhong	2
Daniel J. Kelleher	2
Sencun Zhu	2
Vladimir Lucic	2
Niya Wang	2
Yitan Zhu	2
Jamie A. Browning	2
Karl Levitt	2
Yuquan Shan	2
Catherine E. Maloney	2
Yue Wang	2
Matthew Begué	2
Anna Squicciarini	2
Benjamin Steinhurst	2
Anna Scaglione	2
Cong Liao	2
R.E. Van Dyck	1
Panagiotis Stylianou	1
Xingbo Hu	1
Maxime Bergeron	1
Yaman Aksu	1
Scott C Markley	1
Ehsan Emamjomeh-Zadeh	1
Ryan Ferguson	1
Ousmane Dia	1
Akanksha Bhardwaj	1
Jeff Rowe	1
Jeffry Rowe	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning	2017	Xinyun Chen Chang Liu Bo Li Kimberly Lu Dawn Song	14
+ PDF Chat	The Limitations of Deep Learning in Adversarial Settings	2016	Nicolas Papernot Patrick McDaniel Somesh Jha Matt Fredrikson Z. Berkay Celik Ananthram Swami	13
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	12
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	12
+ PDF Chat	Support vector machines under adversarial label contamination	2015	Xiao Huang Battista Biggio Blaine Nelson Han Xiao Claudia Eckert Fabio Roli	12
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	12
+ PDF Chat	Practical Black-Box Attacks against Machine Learning	2017	Nicolas Papernot Patrick McDaniel Ian Goodfellow Somesh Jha Z. Berkay Celik Ananthram Swami	11
+ PDF Chat	Towards Evaluating the Robustness of Neural Networks	2017	Nicholas Carlini David Wagner	11
+ PDF Chat	Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation	2020	Haoti Zhong Cong Liao Anna Squicciarini Sencun Zhu David J. Miller	10
+	TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems	2019	Wenbo Guo Lun Wang Xinyu Xing Min Du Dawn Song	10
+ PDF Chat	Universal Adversarial Perturbations	2017	Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi Pascal Frossard	8
+	Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering	2018	Bryant Chen Wilka Carvalho Nathalie Baracaldo Heiko Ludwig Ben Edwards Taesung Lee Ian Molloy Biplav Srivastava	7
+	Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks	2019	David J. Miller Zhen Xiang George Kesidis	7
+ PDF Chat	When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time	2019	David J. Miller Yujia Wang George Kesidis	7
+ PDF Chat	Detection of Backdoors in Trained Classifiers Without Access to the Training Set	2020	Zhen Xiang David J. Miller George Kesidis	7
+ PDF Chat	Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases	2020	Ren Wang Gaoyuan Zhang Sijia Liu Pin‐Yu Chen Jinjun Xiong Meng Wang	6
+	The Influence Curve and its Role in Robust Estimation	1974	Frank R. Hampel	5
+	SentiNet: Detecting Physical Attacks Against Deep Learning Systems	2018	Edward Chou Florian Tramèr Giancarlo Pellegrino Dan Boneh	5
+	Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering	2018	Bryant Chen Wilka Carvalho Nathalie Baracaldo Heiko Ludwig Ben Edwards Taesung Lee Ian Molloy Biplav Srivastava	4
+ PDF Chat	L-Red: Efficient Post-Training Detection of Imperceptible Backdoor Attacks Without Access to the Training Set	2021	Zhen Xiang David J. Miller George Kesidis	4
+	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	4
+	Approximating discrete probability distributions	1969	H. H. Ku S. Kullback	4
+	Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning	2018	Battista Biggio Fabio Roli	4
+ PDF Chat	When Not to Classify: Detection of Reverse Engineering Attacks on DNN Image Classifiers	2019	Yujia Wang David J. Miller George Kesidis	4
+	an entropy-driven system for construction of probabilistic expert systems from databases	1990	Edward H. Herskovits Gregory F. Cooper	4
+ PDF Chat	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation	2017	Raffaelli Charles Hao Su Kaichun Mo Leonidas Guibas	3
+ PDF Chat	3D ShapeNets: A deep representation for volumetric shapes	2015	Zhirong Wu Shuran Song Aditya Khosla Fisher Yu Linguang Zhang Xiaoou Tang Jianxiong Xiao	3
+ PDF Chat	Hidden Trigger Backdoor Attacks	2020	Aniruddha Saha Akshayvarun Subramanya Hamed Pirsiavash	3
+ PDF Chat	Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics	2017	Xin Li Fuxin Li	3
+	Understanding Black-box Predictions via Influence Functions	2017	Pang Wei Koh Percy Liang	3
+ PDF Chat	Wild patterns: Ten years after the rise of adversarial machine learning	2018	Battista Biggio Fabio Roli	3
+	Stealing machine learning models via prediction APIs	2016	Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart	3
+ PDF Chat	Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization	2017	Luis Muñoz-González Battista Biggio Ambra Demontis Andrea Paudice Vasin Wongrassamee Emil Lupu Fabio Roli	3
+ PDF Chat	Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers	2019	Daniel Liu Ronald Yu Hao Su	3
+ PDF Chat	Generating 3D Adversarial Point Clouds	2019	Chong Xiang Charles R. Qi Bo Li	3
+	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space	2017	Charles R. Qi Yi Li Hao Su Leonidas Guibas	3
+	Detecting AI Trojans Using Meta Neural Analysis	2019	Xiaojun Xu Qi Wang Huichen Li Nikita Borisov Carl A. Gunter Bo Li	3
+	A backdoor attack against LSTM-based text classification systems	2019	Jiazhu Dai Chuanshuai Chen	3
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+ PDF Chat	Local Descriptor for Robust Place Recognition Using LiDAR Intensity	2019	Jiadong Guo Paulo Borges Chanoh Park Abel Gawel	3
+	Kutato: An Entropy-Driven System for Construction of Probabilistic Expert Systems from Databases	2013	Edward H. Herskovits Gregory F. Cooper	3
+ PDF Chat	The EM Algorithm—an Old Folk-song Sung to a Fast New Tune	1997	Xiao‐Li Meng David A. van Dyk	3
+	Spectral Signatures in Backdoor Attacks	2018	Brandon Tran Jerry Li Aleksander Mądry	3
+	Adversarial Learning: A Critical Review and Active Learning Study	2017	David J. Miller Xinyi Hu Zhicong Qiu George Kesidis	3
+ PDF Chat	Dynamic Graph CNN for Learning on Point Clouds	2019	Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma Michael M. Bronstein Justin Solomon	3
+	Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling	2014	Jun‐Young Chung Çaǧlar Gülçehre Kyunghyun Cho Yoshua Bengio	2
+ PDF Chat	Electrical resistance of N-gasket fractal networks	2007	Brighid Boyle Kristin Cekala David Ferrone Neil Rifkin Alexander Teplyaev	2
+	Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks.	2017	Eirikur Agustsson Fabian Mentzer Michael Tschannen Lukas Cavigelli Radu Timofte Luca Benini Luc Van Gool	2
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	2
+	Parseval Networks: Improving Robustness to Adversarial Examples	2017	Moustapha Cissé Piotr Bojanowski Édouard Grave Yann Dauphin Nicolas Usunier	2