Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses

18 December 2020

Chulin Xie

Papers citing "Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses"

50 / 148 papers shown

Title
Towards Stable Backdoor Purification through Feature Shift Tuning Rui Min Zeyu Qin Li Shen Minhao Cheng AAML 40 21 0 03 Oct 2023
Safe and Robust Watermark Injection with a Single OoD Image Shuyang Yu Junyuan Hong Haobo Zhang Haotao Wang Zhangyang Wang Jiayu Zhou WIGM 38 3 0 04 Sep 2023
BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection Tinghao Xie Xiangyu Qi Ping He Yiming Li Jiachen T. Wang Prateek Mittal AAML 23 9 0 23 Aug 2023
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks Shijie Liu Andrew C. Cullen Paul Montague S. Erfani Benjamin I. P. Rubinstein AAML 23 3 0 15 Aug 2023
Breaking Speaker Recognition with PaddingBack Zhe Ye Diqun Yan Li Dong Kailai Shen AAML 31 2 0 08 Aug 2023
APBench: A Unified Benchmark for Availability Poisoning Attacks and Defenses Tianrui Qin Xitong Gao Juanjuan Zhao Kejiang Ye Chengjie Xu AAML 21 6 0 07 Aug 2023
Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks Domenico Cotroneo Cristina Improta Pietro Liguori R. Natella SILM 30 22 0 04 Aug 2023
Rethinking Backdoor Attacks Alaa Khaddaj Guillaume Leclerc Aleksandar Makelov Kristian Georgiev Hadi Salman Andrew Ilyas A. Madry SILM 34 28 0 19 Jul 2023
The Full Landscape of Robust Mean Testing: Sharp Separations between Oblivious and Adaptive Contamination C. Canonne Samuel B. Hopkins Jungshian Li Allen Liu Shyam Narayanan AAML 36 4 0 18 Jul 2023
Towards Stealthy Backdoor Attacks against Speech Recognition via Elements of Sound Hanbo Cai Pengcheng Zhang Hai Dong Yan Xiao Stefanos Koffas Yiming Li AAML 26 28 0 17 Jul 2023
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources Feiyang Kang H. Just Anit Kumar Sahu R. Jia 59 10 0 05 Jul 2023
On Practical Aspects of Aggregation Defenses against Data Poisoning Attacks Wenxiao Wang S. Feizi AAML 24 1 0 28 Jun 2023
Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion Zhe Ye Terui Mao Li Dong Diqun Yan AAML 22 7 0 28 Jun 2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking Shaohui Mei Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Lap-Pui Chau AAML 23 11 0 21 Jun 2023
Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios Ziqiang Li Hong Sun Pengfei Xia Heng Li Beihao Xia Yi Wu Bin Li AAML 24 8 0 14 Jun 2023
A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks Ziqiang Li Hong Sun Pengfei Xia Beihao Xia Xue Rui Wei Zhang Qinglang Guo Bin Li AAML 32 8 0 14 Jun 2023
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework Minglei Yin Bing Liu Neil Zhenqiang Gong Xin Li AAML 9 1 0 11 Jun 2023
Detecting Neural Trojans Through Merkle Trees Joshua Strubel 14 0 0 08 Jun 2023
Don't trust your eyes: on the (un)reliability of feature visualizations Robert Geirhos Roland S. Zimmermann Blair Bilodeau Wieland Brendel Been Kim FAtt OOD 27 26 0 07 Jun 2023
Exploring Model Dynamics for Accumulative Poisoning Discovery Jianing Zhu Xiawei Guo Jiangchao Yao Chao Du Li He Shuo Yuan Tongliang Liu Liang Wang Bo Han AAML 18 0 0 06 Jun 2023
Sharpness-Aware Data Poisoning Attack Pengfei He Han Xu J. Ren Yingqian Cui Hui Liu Charu C. Aggarwal Jiliang Tang AAML 44 7 0 24 May 2023
Attacks on Online Learners: a Teacher-Student Analysis R. Margiotta Sebastian Goldt G. Sanguinetti AAML 33 1 0 18 May 2023
Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models Yihao Huang Felix Juefei Xu Qing-Wu Guo Jie M. Zhang Yutong Wu Ming Hu Tianlin Li Geguang Pu Yang Liu DiffM 11 32 0 18 May 2023
Diffusion Models for Imperceptible and Transferable Adversarial Attack Jianqi Chen H. Chen Keyan Chen Yilan Zhang Zhengxia Zou Z. Shi DiffM 29 57 0 14 May 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy T. Shaik Xiaohui Tao Haoran Xie Lin Li Xiaofeng Zhu Qingyuan Li MU 36 25 0 10 May 2023
A Universal Identity Backdoor Attack against Speaker Verification based on Siamese Network Haodong Zhao Wei Du Junjie Guo Gongshen Liu AAML 11 0 0 28 Mar 2023
Boundary Unlearning Min Chen Weizhuo Gao Gaoyang Liu Kai Peng Chen Wang MU 109 71 0 21 Mar 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness Peiyu Xiong Michael W. Tegegn Jaskeerat Singh Sarin Shubhraneel Pal Julia Rubin SILM AAML 32 8 0 17 Mar 2023
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models H. M. Dolatabadi S. Erfani C. Leckie DiffM 51 17 0 15 Mar 2023
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks Yiwei Lu Gautam Kamath Yaoliang Yu AAML 39 18 0 07 Mar 2023
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry Wenxin Jiang Nicholas Synovic Matt Hyatt Taylor R. Schorlemmer R. Sethi Yung-Hsiang Lu George K. Thiruvathukal James C. Davis 30 64 0 05 Mar 2023
Certified Robust Neural Networks: Generalization and Corruption Resistance Amine Bennouna Ryan Lucas Bart P. G. Van Parys 38 10 0 03 Mar 2023
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions Thuy-Dung Nguyen Tuan Nguyen Phi Le Nguyen Hieu H. Pham Khoa D. Doan Kok-Seng Wong AAML FedML 37 56 0 03 Mar 2023
Towards Audit Requirements for AI-based Systems in Mobility Applications Devi Alagarswamy Christian Berghoff Vasilios Danos Fabian Langer Thora Markert Georg Schneider Arndt von Twickel Fabian Woitschek 15 1 0 27 Feb 2023
Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights? Ruisi Cai Zhenyu (Allen) Zhang Zhangyang Wang AAML OOD 33 12 0 24 Feb 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Marwan Omar SILM AAML 33 20 0 14 Feb 2023
Temporal Robustness against Data Poisoning Wenxiao Wang S. Feizi AAML OOD 35 11 0 07 Feb 2023
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency Junfeng Guo Yiming Li Xun Chen Hanqing Guo Lichao Sun Cong Liu AAML MLAU 21 95 0 07 Feb 2023
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks Zeyu Qin Liuyi Yao Daoyuan Chen Yaliang Li Bolin Ding Minhao Cheng FedML 38 25 0 03 Feb 2023
BackdoorBox: A Python Toolbox for Backdoor Learning Yiming Li Mengxi Ya Yang Bai Yong Jiang Shutao Xia AAML 44 40 0 01 Feb 2023
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning Soumyadeep Pal Ren Wang Yuguang Yao Sijia Liu 45 6 0 20 Jan 2023
Silent Killer: A Stealthy, Clean-Label, Black-Box Backdoor Attack Tzvi Lederer Gallil Maimon Lior Rokach AAML 11 1 0 05 Jan 2023
Backdoor Attacks Against Dataset Distillation Yugeng Liu Zheng Li Michael Backes Yun Shen Yang Zhang DD 39 28 0 03 Jan 2023
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks Jimmy Z. Di Jack Douglas Jayadev Acharya Gautam Kamath Ayush Sekhari MU 32 44 0 21 Dec 2022
Backdoor Vulnerabilities in Normally Trained Deep Learning Models Guanhong Tao Zhenting Wang Shuyang Cheng Shiqing Ma Shengwei An Yingqi Liu Guangyu Shen Zhuo Zhang Yunshu Mao Xiangyu Zhang SILM 17 17 0 29 Nov 2022
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities Amin Azmoodeh Ali Dehghantanha 42 2 0 26 Nov 2022
Rank-One Editing of Encoder-Decoder Models Vikas Raunak Arul Menezes KELM 26 10 0 23 Nov 2022
A Survey on Backdoor Attack and Defense in Natural Language Processing Xuan Sheng Zhaoyang Han Piji Li Xiangmao Chang SILM 19 19 0 22 Nov 2022
Untargeted Backdoor Attack against Object Detection C. Luo Yiming Li Yong Jiang Shutao Xia AAML 28 31 0 02 Nov 2022
Generative Poisoning Using Random Discriminators Dirren van Vlijmen A. Kolmus Zhuoran Liu Zhengyu Zhao Martha Larson 23 2 0 02 Nov 2022