Explore the Effect of Data Selection on Poison Efficiency in Backdoor Attacks

15 October 2023

Papers citing "Explore the Effect of Data Selection on Poison Efficiency in Backdoor Attacks"

8 / 8 papers shown

Title
Efficient Trigger Word Insertion Yueqi Zeng Ziqiang Li Pengfei Xia Lei Liu Bin Li AAML 21 5 0 23 Nov 2023
A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks Ziqiang Li Hong Sun Pengfei Xia Beihao Xia Xue Rui Wei Zhang Qinglang Guo Bin Li AAML 32 8 0 14 Jun 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 44 21 0 19 Feb 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
Enhancing Backdoor Attacks with Multi-Level MMD Regularization Pengfei Xia Hongjing Niu Ziqiang Li Bin Li AAML 40 29 0 09 Nov 2021
Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search Pengfei Xia Ziqiang Li Bin Li AAML 38 3 0 09 Nov 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 91 188 0 27 Feb 2021
Clean-Label Backdoor Attacks on Video Recognition Models Shihao Zhao Xingjun Ma Xiang Zheng James Bailey Jingjing Chen Yu-Gang Jiang AAML 196 274 0 06 Mar 2020