Disrupting Model Training with Adversarial Shortcuts

12 June 2021

Papers citing "Disrupting Model Training with Adversarial Shortcuts"

10 / 10 papers shown

Title
GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation Yixin Liu Chenrui Fan Xun Chen Pan Zhou Lichao Sun 53 4 0 11 Oct 2023
On the Computational Entanglement of Distant Features in Adversarial Machine Learning Yen-Lung Lai Xingbo Dong Zhe Jin AAML 11 0 0 27 Sep 2023
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression Zhuoran Liu Zhengyu Zhao Martha Larson 24 34 0 31 Jan 2023
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks Shutong Wu Sizhe Chen Cihang Xie X. Huang AAML 45 27 0 24 May 2022
Can Adversarial Training Be Manipulated By Non-Robust Features? Lue Tao Lei Feng Hongxin Wei Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 70 16 0 31 Jan 2022
SoK: Anti-Facial Recognition Technology Emily Wenger Shawn Shan Haitao Zheng Ben Y. Zhao PICV 32 13 0 08 Dec 2021
Fooling Adversarial Training with Inducing Noise Zhirui Wang Yifei Wang Yisen Wang 17 14 0 19 Nov 2021
Manipulating SGD with Data Ordering Attacks Ilia Shumailov Zakhar Shumaylov Dmitry Kazhdan Yiren Zhao Nicolas Papernot Murat A. Erdogdu Ross J. Anderson AAML 112 90 0 19 Apr 2021
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training Lue Tao Lei Feng Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 26 71 0 09 Feb 2021
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 144 190 0 13 Jan 2021