Availability Attacks Create Shortcuts

1 November 2021

Papers citing "Availability Attacks Create Shortcuts"

45 / 45 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
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 23 0 0 06 Nov 2024
Learning from Convolution-based Unlearnable Datasets Dohyun Kim Pedro Sandoval-Segura MU 91 1 0 04 Nov 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 28 0 0 19 Oct 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
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
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 32 1 0 15 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
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics Sunay Bhat Jeffrey Q. Jiang Omead Brandon Pooladzandi Alexander Branch Gregory Pottie AAML 28 2 0 28 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
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
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
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 29 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
Data-Dependent Stability Analysis of Adversarial Training Yihan Wang Shuang Liu Xiao-Shan Gao 33 3 0 06 Jan 2024
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
MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning Yixin Liu Chenrui Fan Yutong Dai Xun Chen Pan Zhou Lichao Sun DiffM 24 19 0 22 Nov 2023
Protecting Publicly Available Data With Machine Learning Shortcuts Nicolas M. Muller Maximilian Burgert Pascal Debus Jennifer Williams Philip Sperl Konstantin Böttinger 8 0 0 30 Oct 2023
Segue: Side-information Guided Generative Unlearnable Examples for Facial Privacy Protection in Real World Zhiling Zhang Jie Zhang Kui Zhang Wenbo Zhou Weiming Zhang Neng H. Yu 18 1 0 24 Oct 2023
Transferable Availability Poisoning Attacks Yiyong Liu Michael Backes Xiao Zhang AAML 19 3 0 08 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 30 15 0 01 Oct 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
Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation Zhengyue Zhao Jinhao Duan Xingui Hu Kaidi Xu Chenan Wang Rui Zhang Zidong Du Qi Guo Yunji Chen DiffM WIGM 22 27 0 02 Jun 2023
What Can We Learn from Unlearnable Datasets? Pedro Sandoval-Segura Vasu Singla Jonas Geiping Micah Goldblum Tom Goldstein 11 14 0 30 May 2023
Sharpness-Aware Data Poisoning Attack Pengfei He Han Xu J. Ren Yingqian Cui Hui Liu Charu C. Aggarwal Jiliang Tang AAML 34 7 0 24 May 2023
Towards Generalizable Data Protection With Transferable Unlearnable Examples Bin Fang Bo-wen Li Shuang Wu Tianyi Zheng Shouhong Ding Ran Yi Lizhuang Ma 11 4 0 18 May 2023
Re-thinking Data Availablity Attacks Against Deep Neural Networks Bin Fang Bo-wen Li Shuang Wu Ran Yi Shouhong Ding Lizhuang Ma AAML 35 0 0 18 May 2023
Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples Wanzhu Jiang Yunfeng Diao He-Nan Wang Jianxin Sun M. Wang Richang Hong 37 18 0 16 May 2023
Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks Tianrui Qin Xitong Gao Juanjuan Zhao Kejiang Ye Chengzhong Xu AAML MU 32 27 0 27 Mar 2023
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models H. M. Dolatabadi S. Erfani C. Leckie DiffM 38 17 0 15 Mar 2023
CUDA: Convolution-based Unlearnable Datasets Vinu Sankar Sadasivan Mahdi Soltanolkotabi S. Feizi MU 29 23 0 07 Mar 2023
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks Yiwei Lu Gautam Kamath Yaoliang Yu AAML 37 18 0 07 Mar 2023
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression Zhuoran Liu Zhengyu Zhao Martha Larson 24 34 0 31 Jan 2023
Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples Jiaming Zhang Xingjun Ma Qiaomin Yi Jitao Sang Yugang Jiang Yaowei Wang Changsheng Xu 15 24 0 31 Dec 2022
Indiscriminate Data Poisoning Attacks on Neural Networks Yiwei Lu Gautam Kamath Yaoliang Yu AAML 28 24 0 19 Apr 2022
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning Hao He Kaiwen Zha Dina Katabi AAML 31 32 0 22 Feb 2022
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 136 190 0 13 Jan 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 290 1,812 0 14 Dec 2020