Zhen Xiang

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All published works

Action	Title	Year	Authors
+ PDF Chat	Data Free Backdoor Attacks	2024	Bochuan Cao Jinyuan Jia Chaosu Hu Wenbo Guo Zhen Xiang Jinghui Chen Bo Li Dawn Song
+ 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	Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models	2024	Zhenyang Ni Rui Ye Yuxi Wei Zhen Xiang Yanfeng Wang Siheng Chen
+ PDF Chat	ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs	2024	Fengqing Jiang Zhangchen Xu Luyao Niu Zhen Xiang Bhaskar Ramasubramanian Bo Li Radha Poovendran
+	BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models	2024	Zhen Xiang Fengqing Jiang Zidi Xiong Bhaskar Ramasubramanian Radha Poovendran Bo Li
+ 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
+	UMD: Unsupervised Model Detection for X2X Backdoor Attacks	2023	Zhen Xiang Zidi Xiong Bo Li
+	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
+	CBD: A Certified Backdoor Detector Based on Local Dominant Probability	2023	Zhen Xiang Zidi Xiong Bo Li
+ PDF Chat	Detecting Backdoor Attacks against Point Cloud Classifiers	2022	Zhen Xiang David J. Miller Siheng Chen Xi Li George Kesidis
+ PDF Chat	Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks	2022	Xi Li 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
+ 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
+	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
+	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
+	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
+	A Mixture Model Based Defense for Data Poisoning Attacks Against Naive Bayes Spam Filters	2018	David J. Miller Xinyi Hu Zhen Xiang George Kesidis
+	Screening Tests for Lasso Problems	2016	Zhen Xiang Yun Wang Peter J. Ramadge
+	Lasso screening with a small regularization parameter	2013	Yun Wang Zhen Xiang Peter J. Ramadge
+	Tradeoffs in improved screening of lasso problems	2013	Yun Wang Zhen Xiang Peter J. Ramadge
+	Fast lasso screening tests based on correlations	2012	Zhen Xiang Peter J. Ramadge

Common Coauthors

Coauthor	Papers Together
George Kesidis	23
David J. Miller	22
Xi Li	8
Siheng Chen	5
Peter J. Ramadge	4
Zidi Xiong	3
Yun Wang	2
Bhaskar Ramasubramanian	2
Hang Wang	2
Radha Poovendran	2
Fengqing Jiang	2
Bo Li	2
Bo Li	1
Jiahui Chen	1
Hang Wang	1
Yanfeng Wang	1
Rui Ye	1
Xi Li	1
Chaosu Hu	1
Jinyuan Jia	1
Dawn Song	1
David J. Miller	1
Hippolyt Ritter	1
Sahar Karami	1
Yuxi Wei	1
Bo Li	1
Jinghui Chen	1
Luyao Niu	1
Ehsan Emamjomeh-Zadeh	1
Ousmane Dia	1
Zhangchen Xu	1
Bochuan Cao	1
Zhenyang Ni	1
Wenbo Guo	1
Yun Wang	1
Bo Li	1
Xinyi Hu	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	13
+	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	11
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	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
+ PDF Chat	Support vector machines under adversarial label contamination	2015	Xiao Huang Battista Biggio Blaine Nelson Han Xiao Claudia Eckert Fabio Roli	9
+ PDF Chat	The Limitations of Deep Learning in Adversarial Settings	2016	Nicolas Papernot Patrick McDaniel Somesh Jha Matt Fredrikson Z. Berkay Celik Ananthram Swami	8
+ PDF Chat	Towards Evaluating the Robustness of Neural Networks	2017	Nicholas Carlini David Wagner	8
+ PDF Chat	Universal Adversarial Perturbations	2017	Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi Pascal Frossard	7
+	Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks	2019	David J. Miller Zhen Xiang George Kesidis	7
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	7
+	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
+ 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 Black-Box Attacks against Machine Learning	2017	Nicolas Papernot Patrick McDaniel Ian Goodfellow Somesh Jha Z. Berkay Celik Ananthram Swami	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
+	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	5
+ 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	5
+	SentiNet: Detecting Physical Attacks Against Deep Learning Systems	2018	Edward Chou Florian Tramèr Giancarlo Pellegrino Dan Boneh	5
+ 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
+	Spectral Signatures in Backdoor Attacks	2018	Brandon Tran Jerry Li Aleksander Mądry	4
+	Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning	2018	Battista Biggio Fabio Roli	4
+ PDF Chat	Hidden Trigger Backdoor Attacks	2020	Aniruddha Saha Akshayvarun Subramanya Hamed Pirsiavash	4
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	4
+	Safe Feature Elimination in Sparse Supervised Learning	2010	Laurent El Ghaoui Vivian Viallon Tarek Rabbani	4
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+	A backdoor attack against LSTM-based text classification systems	2019	Jiazhu Dai Chuanshuai Chen	3
+ PDF Chat	Generating 3D Adversarial Point Clouds	2019	Chong Xiang Charles R. Qi Bo Li	3
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	3
+ PDF Chat	Strong Rules for Discarding Predictors in Lasso-Type Problems	2011	Robert Tibshirani Jacob Bien Jerome H. Friedman Trevor Hastie Noah Simon Jonathan Taylor Ryan J. Tibshirani	3
+ PDF Chat	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation	2017	Raffaelli Charles Hao Su Kaichun Mo Leonidas Guibas	3
+	Backdoor Learning: A Survey	2020	Yiming Li Yong Jiang Zhifeng Li Shu‐Tao Xia	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
+ PDF Chat	A Backdoor Attack Against LSTM-Based Text Classification Systems	2019	Jiazhu Dai Chuanshuai Chen Yufeng Li	3
+	Detecting AI Trojans Using Meta Neural Analysis	2019	Xiaojun Xu Qi Wang Huichen Li Nikita Borisov Carl A. Gunter Bo Li	3
+	Safe Feature Elimination for the LASSO and Sparse Supervised Learning Problems	2010	Laurent El Ghaoui Vivian Viallon Tarek Rabbani	3
+ PDF Chat	When Not to Classify: Detection of Reverse Engineering Attacks on DNN Image Classifiers	2019	Yujia Wang David J. Miller George Kesidis	3
+ PDF Chat	Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers	2019	Daniel Liu Ronald Yu Hao Su	3
+	Fast lasso screening tests based on correlations	2012	Zhen Xiang Peter J. Ramadge	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
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	3
+ PDF Chat	Local Descriptor for Robust Place Recognition Using LiDAR Intensity	2019	Jiadong Guo Paulo Borges Chanoh Park Abel Gawel	3
+	Screening Tests for Lasso Problems	2016	Zhen Xiang Yun Wang Peter J. Ramadge	3
+	Understanding Black-box Predictions via Influence Functions	2017	Pang Wei Koh Percy Liang	3
+	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space	2017	Charles R. Qi Yi Li Hao Su Leonidas Guibas	3
+ PDF Chat	The solution path of the generalized lasso	2011	Ryan J. Tibshirani Jonathan Taylor	3
+	Lasso Screening Rules via Dual Polytope Projection	2012	Jie Wang Peter Wonka Jieping Ye	2
+	Complexity Analysis of the Lasso Regularization Path	2012	Julien Mairal Bin Yu	2
+	Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks	2019	Mahyar Fazlyab Alexander Robey Hamed Hassani Manfred Morari George J. Pappas	2
+ PDF Chat	Multi-view Convolutional Neural Networks for 3D Shape Recognition	2015	Hang Su Subhransu Maji Evangelos Kalogerakis Erik Learned-Miller	2
+	Fundamentals of Convex Analysis	2001	Jean‐Baptiste Hiriart‐Urruty Claude Lemaréchal	2