M-to-N Backdoor Paradigm: A Multi-Trigger and Multi-Target Attack to Deep Learning Models

3 November 2022

Papers citing "M-to-N Backdoor Paradigm: A Multi-Trigger and Multi-Target Attack to Deep Learning Models"

4 / 4 papers shown

Title
Imperceptible and Multi-channel Backdoor Attack against Deep Neural Networks Mingfu Xue S. Ni Ying-Chang Wu Yushu Zhang Jian Wang Weiqiang Liu AAML 27 13 0 31 Jan 2022
DeepPoison: Feature Transfer Based Stealthy Poisoning Attack Jinyin Chen Longyuan Zhang Haibin Zheng Xueke Wang Zhaoyan Ming AAML 24 19 0 06 Jan 2021
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 168 284 0 02 Dec 2018
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,191 0 21 Nov 2016