Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder

22 May 2019

Papers citing "Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder"

23 / 23 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
Timber! Poisoning Decision Trees Stefano Calzavara Lorenzo Cazzaro Massimo Vettori AAML 25 0 0 01 Oct 2024
Nonlinear Transformations Against Unlearnable Datasets T. Hapuarachchi Jing Lin Kaiqi Xiong Mohamed Rahouti Gitte Ost 28 1 0 05 Jun 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
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 25 16 0 02 Feb 2024
Game-Theoretic Unlearnable Example Generator Shuang Liu Yihan Wang Xiao-Shan Gao AAML 24 7 0 31 Jan 2024
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
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
Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples Jiaming Zhang Xingjun Ma Qiaomin Yi Jitao Sang Yugang Jiang Yaowei Wang Changsheng Xu 13 24 0 31 Dec 2022
Generative Poisoning Using Random Discriminators Dirren van Vlijmen A. Kolmus Zhuoran Liu Zhengyu Zhao Martha Larson 20 2 0 02 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 45 97 0 27 Sep 2022
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks Shutong Wu Sizhe Chen Cihang Xie X. Huang AAML 42 26 0 24 May 2022
Machine Learning Security against Data Poisoning: Are We There Yet? Antonio Emanuele Cinà Kathrin Grosse Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo AAML 22 35 0 12 Apr 2022
Energy-Latency Attacks via Sponge Poisoning Antonio Emanuele Cinà Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo SILM 39 29 0 14 Mar 2022
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning Hao He Kaiwen Zha Dina Katabi AAML 26 32 0 22 Feb 2022
Execute Order 66: Targeted Data Poisoning for Reinforcement Learning Harrison Foley Liam H. Fowl Tom Goldstein Gavin Taylor AAML 15 9 0 03 Jan 2022
Initiative Defense against Facial Manipulation Qidong Huang Jie M. Zhang Wenbo Zhou Weiming Zhang Nenghai Yu AAML 15 63 0 19 Dec 2021
Availability Attacks Create Shortcuts Da Yu Huishuai Zhang Wei Chen Jian Yin Tie-Yan Liu AAML 20 57 0 01 Nov 2021
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation Bingqian Lin Yi Zhu Yanxin Long Xiaodan Liang QiXiang Ye Liang Lin AAML 31 16 0 23 Jul 2021
Adversarial Examples Make Strong Poisons Liam H. Fowl Micah Goldblum Ping Yeh-Chiang Jonas Geiping Wojtek Czaja Tom Goldstein SILM 18 131 0 21 Jun 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 18 123 0 16 Jun 2021
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training Eran Segalis Eran Galili 12 16 0 17 Jun 2020