Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks

22 June 2020

Papers citing "Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks"

32 / 32 papers shown

Title
MTL-UE: Learning to Learn Nothing for Multi-Task Learning Yi Yu Song Xia Siyuan Yang Chenqi Kong Wenhan Yang Shijian Lu Yap-Peng Tan Alex Chichung Kot 46 0 0 08 May 2025
Mitigating Backdoor Triggered and Targeted Data Poisoning Attacks in Voice Authentication Systems Alireza Mohammadi Keshav Sood D. Thiruvady A. Nazari AAML 42 0 0 06 May 2025
Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks Ang Li Yin Zhou Vethavikashini Chithrra Raghuram Tom Goldstein Micah Goldblum AAML 83 7 0 12 Feb 2025
PureEBM: Universal Poison Purification via Mid-Run Dynamics of Energy-Based Models Omead Brandon Pooladzandi Jeffrey Q. Jiang Sunay Bhat Gregory Pottie AAML 31 0 0 28 May 2024
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders Yi Yu Yufei Wang Song Xia Wenhan Yang Shijian Lu Yap-Peng Tan A.C. Kot AAML 40 11 0 02 May 2024
Robust Survival Analysis with Adversarial Regularization Michael Potter Stefano Maxenti Michael Everett AAML 24 0 0 26 Dec 2023
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger Yiming Li Mingyan Zhu Junfeng Guo Tao Wei Shu-Tao Xia Zhan Qin AAML 68 1 0 03 Dec 2023
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning Soumyadeep Pal Ren Wang Yuguang Yao Sijia Liu 45 6 0 20 Jan 2023
Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples Jiaming Zhang Xingjun Ma Qiaomin Yi Jitao Sang Yugang Jiang Yaowei Wang Changsheng Xu 18 24 0 31 Dec 2022
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data Minghong Fang Jia-Wei Liu Michinari Momma Yi Sun 27 4 0 13 Dec 2022
Rethinking Backdoor Data Poisoning Attacks in the Context of Semi-Supervised Learning Marissa Connor Vincent Emanuele SILM AAML 14 1 0 05 Dec 2022
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities Amin Azmoodeh Ali Dehghantanha 42 2 0 26 Nov 2022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection Yiming Li Yang Bai Yong Jiang Yong-Liang Yang Shutao Xia Bo Li AAML 50 98 0 27 Sep 2022
A Systematic Evaluation of Node Embedding Robustness Alexandru Mara Jefrey Lijffijt Stephan Günnemann T. D. Bie AAML 19 0 0 16 Sep 2022
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks Tianwei Liu Yu Yang Baharan Mirzasoleiman AAML 27 27 0 14 Aug 2022
Backdoor Attacks on Bayesian Neural Networks using Reverse Distribution Zhixin Pan Prabhat Mishra AAML 13 4 0 18 May 2022
Backdooring Explainable Machine Learning Maximilian Noppel Lukas Peter Christian Wressnegger AAML 16 5 0 20 Apr 2022
Indiscriminate Data Poisoning Attacks on Neural Networks Yiwei Lu Gautam Kamath Yaoliang Yu AAML 43 24 0 19 Apr 2022
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks Fan Wu Linyi Li Chejian Xu Huan Zhang B. Kailkhura K. Kenthapadi Ding Zhao Bo-wen Li AAML OffRL 24 34 0 16 Mar 2022
Can Adversarial Training Be Manipulated By Non-Robust Features? Lue Tao Lei Feng Hongxin Wei Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 81 16 0 31 Jan 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges Huaming Chen Muhammad Ali Babar AAML 37 21 0 12 Jan 2022
Availability Attacks Create Shortcuts Da Yu Huishuai Zhang Wei Chen Jian Yin Tie-Yan Liu AAML 31 57 0 01 Nov 2021
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning Neil G. Marchant Benjamin I. P. Rubinstein Scott Alfeld MU AAML 20 69 0 17 Sep 2021
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain Hasan Hammoud Guohao Li AAML 18 13 0 12 Sep 2021
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch Hossein Souri Liam H. Fowl Ramalingam Chellappa Micah Goldblum Tom Goldstein SILM 31 123 0 16 Jun 2021
Disrupting Model Training with Adversarial Shortcuts Ivan Evtimov Ian Covert Aditya Kusupati Tadayoshi Kohno AAML 20 10 0 12 Jun 2021
Defending Against Backdoor Attacks in Natural Language Generation Xiaofei Sun Xiaoya Li Yuxian Meng Xiang Ao Fei Wu Jiwei Li Tianwei Zhang AAML SILM 31 47 0 03 Jun 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild D. Song A. Madry Bo-wen Li Tom Goldstein SILM 18 270 0 18 Dec 2020
Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff Eitan Borgnia Valeriia Cherepanova Liam H. Fowl Amin Ghiasi Jonas Geiping Micah Goldblum Tom Goldstein Arjun Gupta AAML 6 127 0 18 Nov 2020
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching Jonas Geiping Liam H. Fowl Yifan Jiang W. Czaja Gavin Taylor Michael Moeller Tom Goldstein AAML 19 215 0 04 Sep 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 36 220 0 21 Jul 2020
Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved Transferability H. Aghakhani Dongyu Meng Yu-Xiang Wang Christopher Kruegel Giovanni Vigna AAML 20 105 0 01 May 2020