Amplifying Membership Exposure via Data Poisoning

Amplifying Membership Exposure via Data Poisoning

1 November 2022

Chao Shen

Papers citing "Amplifying Membership Exposure via Data Poisoning"

5 / 5 papers shown

Title
Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective De Li Xianxian Li Zeming Gan Qiyu Li Bin Qu Jinyan Wang NoLa 33 1 0 11 Jun 2024
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models Boyang Zhang Zheng Li Ziqing Yang Xinlei He Michael Backes Mario Fritz Yang Zhang 12 4 0 19 Oct 2023
VertexSerum: Poisoning Graph Neural Networks for Link Inference Ruyi Ding Shijin Duan Xiaolin Xu Yunsi Fei AAML GNN 30 4 0 02 Aug 2023
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 168 283 0 24 Mar 2020
Clean-Label Backdoor Attacks on Video Recognition Models Shihao Zhao Xingjun Ma Xiang Zheng James Bailey Jingjing Chen Yu-Gang Jiang AAML 173 252 0 06 Mar 2020