Adversarial Examples Make Strong Poisons

21 June 2021

Papers citing "Adversarial Examples Make Strong Poisons"

50 / 96 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
The Ultimate Cookbook for Invisible Poison: Crafting Subtle Clean-Label Text Backdoors with Style Attributes Wencong You Daniel Lowd 34 0 0 24 Apr 2025
BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Yihan Wang Yiwei Lu Xiao-Shan Gao Gautam Kamath Yaoliang Yu 34 0 0 30 Dec 2024
Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization Yuhao He Jinyu Tian Xianwei Zheng Li Dong Yuanman Li L. Zhang AAML 21 0 0 06 Nov 2024
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training Junhao Dong Xinghua Qu Zhiyuan Wang Yew-Soon Ong AAML 48 1 0 05 Nov 2024
Learning from Convolution-based Unlearnable Datasets Dohyun Kim Pedro Sandoval-Segura MU 91 1 0 04 Nov 2024
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation Ye Sun Hao Zhang Tiehua Zhang Xingjun Ma Yu-Gang Jiang VLM 32 3 0 13 Oct 2024
S $^4$ ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack Yongxiang Liu Bowen Peng Li Liu X. Li 107 0 0 13 Oct 2024
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting Jiahao Lu Yifan Zhang Qiuhong Shen Xinchao Wang Shuicheng Yan 3DGS 39 1 0 10 Oct 2024
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning Yongyi Su Yushu Li Nanqing Liu Kui Jia Xulei Yang Chuan-Sheng Foo Xun Xu TTA AAML 56 0 0 07 Oct 2024
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need Xianlong Wang Minghui Li Wei Liu Hangtao Zhang Shengshan Hu Yechao Zhang Ziqi Zhou Hai Jin 3DPC MU 40 6 0 04 Oct 2024
Empirical Perturbation Analysis of Linear System Solvers from a Data Poisoning Perspective Yixin Liu Arielle Carr Lichao Sun AAML 23 0 0 01 Oct 2024
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense Jeremy A. Styborski Mingzhi Lyu Y. Huang Adams Kong 36 0 0 13 Sep 2024
Transfer-based Adversarial Poisoning Attacks for Online (MIMO-)Deep Receviers Kunze Wu Weiheng Jiang Dusit Niyato Yinghuan Li Chuang Luo AAML 35 0 0 04 Sep 2024
Unlearnable Examples Detection via Iterative Filtering Yi Yu Qichen Zheng Siyuan Yang Wenhan Yang Jun Liu Shijian Lu Yap-Peng Tan Kwok-Yan Lam Alex Kot AAML 30 1 0 15 Aug 2024
Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment Kejia Zhang Juanjuan Weng Zhiming Luo Shaozi Li AAML 29 0 0 12 Aug 2024
Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning Xinwei Liu Xiaojun Jia Yuan Xun Siyuan Liang Xiaochun Cao 34 7 0 23 Jul 2024
Toward Availability Attacks in 3D Point Clouds Yifan Zhu Yibo Miao Yinpeng Dong Xiao-Shan Gao 3DPC AAML 40 3 0 26 Jun 2024
Semantic Deep Hiding for Robust Unlearnable Examples Ruohan Meng Chenyu Yi Yi Yu Siyuan Yang Bingquan Shen Alex C. Kot 41 5 0 25 Jun 2024
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification Xianlong Wang Shengshan Hu Yechao Zhang Ziqi Zhou Leo Yu Zhang Peng Xu Wei Wan Hai Jin AAML 39 3 0 21 Jun 2024
Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI Robert Honig Javier Rando Nicholas Carlini Florian Tramèr WIGM AAML 41 16 0 17 Jun 2024
Nonlinear Transformations Against Unlearnable Datasets T. Hapuarachchi Jing Lin Kaiqi Xiong Mohamed Rahouti Gitte Ost 28 1 0 05 Jun 2024
Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers Binxiao Huang Jason Chun Lok Li Chang Liu Ngai Wong AAML 33 0 0 09 May 2024
Effective and Robust Adversarial Training against Data and Label Corruptions Pengfei Zhang Zi Huang Xin-Shun Xu Guangdong Bai 43 4 0 07 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 29 10 0 02 May 2024
Ungeneralizable Examples Jing Ye Xinchao Wang 35 4 0 22 Apr 2024
Disguised Copyright Infringement of Latent Diffusion Models Yiwei Lu Matthew Y.R. Yang Zuoqiu Liu Gautam Kamath Yaoliang Yu WIGM 23 7 0 10 Apr 2024
Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion Hossein Souri Arpit Bansal Hamid Kazemi Liam H. Fowl Aniruddha Saha Jonas Geiping Andrew Gordon Wilson Rama Chellappa Tom Goldstein Micah Goldblum SILM DiffM 21 1 0 25 Mar 2024
Medical Unlearnable Examples: Securing Medical Data from Unauthorized Training via Sparsity-Aware Local Masking Weixiang Sun Yixin Liu Zhiling Yan Kaidi Xu Lichao Sun AAML 32 3 0 15 Mar 2024
Teach LLMs to Phish: Stealing Private Information from Language Models Ashwinee Panda Christopher A. Choquette-Choo Zhengming Zhang Yaoqing Yang Prateek Mittal PILM 32 20 0 01 Mar 2024
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors Yiwei Lu Matthew Y.R. Yang Gautam Kamath Yaoliang Yu AAML SILM 37 8 0 20 Feb 2024
Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning H. M. Dolatabadi S. Erfani Christopher Leckie AAML 26 0 0 17 Feb 2024
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously Yihan Wang Yifan Zhu Xiao-Shan Gao AAML 17 6 0 06 Feb 2024
Game-Theoretic Unlearnable Example Generator Shuang Liu Yihan Wang Xiao-Shan Gao AAML 24 7 0 31 Jan 2024
Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability Junxi Chen Junhao Dong Xiaohua Xie AAML DiffM 19 5 0 13 Jan 2024
Data-Dependent Stability Analysis of Adversarial Training Yihan Wang Shuang Liu Xiao-Shan Gao 33 3 0 06 Jan 2024
PosCUDA: Position based Convolution for Unlearnable Audio Datasets V. Gokul Shlomo Dubnov SSL 26 3 0 04 Jan 2024
Detection and Defense of Unlearnable Examples Yifan Zhu Lijia Yu Xiao-Shan Gao AAML 19 7 0 14 Dec 2023
Context Matters: Data-Efficient Augmentation of Large Language Models for Scientific Applications Xiang Li Haoran Tang Siyu Chen Ziwei Wang Anurag Maravi Marcin Abram 16 0 0 12 Dec 2023
Corrupting Convolution-based Unlearnable Datasets with Pixel-based Image Transformations Xianlong Wang Shengshan Hu Minghui Li Zhifei Yu Ziqi Zhou Leo Yu Zhang AAML 26 6 0 30 Nov 2023
Trainwreck: A damaging adversarial attack on image classifiers Jan Zahálka 15 1 0 24 Nov 2023
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective Yifei Wang Liangchen Li Jiansheng Yang Zhouchen Lin Yisen Wang 23 11 0 30 Oct 2023
Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers Wencong You Zayd Hammoudeh Daniel Lowd AAML 21 12 0 28 Oct 2023
GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation Yixin Liu Chenrui Fan Xun Chen Pan Zhou Lichao Sun 48 4 0 11 Oct 2023
Transferable Availability Poisoning Attacks Yiyong Liu Michael Backes Xiao Zhang AAML 19 3 0 08 Oct 2023
Test-Time Poisoning Attacks Against Test-Time Adaptation Models Tianshuo Cong Xinlei He Yun Shen Yang Zhang AAML TTA 19 5 0 16 Aug 2023
APBench: A Unified Benchmark for Availability Poisoning Attacks and Defenses Tianrui Qin Xitong Gao Juanjuan Zhao Kejiang Ye Chengjie Xu AAML 16 6 0 07 Aug 2023
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? Fnu Suya X. Zhang Yuan Tian David E. Evans OOD AAML 19 2 0 03 Jul 2023
On the Exploitability of Instruction Tuning Manli Shu Jiong Wang Chen Zhu Jonas Geiping Chaowei Xiao Tom Goldstein SILM 25 91 0 28 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 16 0 0 06 Jun 2023