Amplifying Membership Exposure via Data Poisoning

1 November 2022

Chao Shen

Papers citing "Amplifying Membership Exposure via Data Poisoning"

24 / 24 papers shown

Title
Hey, That's My Data! Label-Only Dataset Inference in Large Language Models Chen Xiong Zihao Wang Rui Zhu Tsung-Yi Ho Pin-Yu Chen Jingwei Xiong Haixu Tang Lucila Ohno-Machado 74 0 0 06 Jun 2025
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack Jing Xue Zhishen Sun Haishan Ye Luo Luo Xiangyu Chang Ivor Tsang Guang Dai MIACV MIALM 75 0 0 03 Jun 2025
Covert Attacks on Machine Learning Training in Passively Secure MPC Matthew Jagielski Daniel Escudero Rahul Rachuri Peter Scholl 103 0 0 21 May 2025
The Ripple Effect: On Unforeseen Complications of Backdoor Attacks Rui Zhang Yun Shen Hongwei Li Wenbo Jiang Hanxiao Chen Yuan Zhang Guowen Xu Yang Zhang SILM AAML 92 0 0 16 May 2025
Energy-Latency Attacks: A New Adversarial Threat to Deep Learning H. B. Meftah W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 76 0 0 06 Mar 2025
Membership Inference Attacks and Defenses in Federated Learning: A Survey Li Bai Haibo Hu Qingqing Ye Haoyang Li Leixia Wang Jianliang Xu FedML 119 14 0 09 Dec 2024
Efficient and Private: Memorisation under differentially private parameter-efficient fine-tuning in language models Olivia Ma Jonathan Passerat-Palmbach Dmitrii Usynin 142 0 0 24 Nov 2024
A Survey on Adversarial Machine Learning for Code Data: Realistic Threats, Countermeasures, and Interpretations Yulong Yang Haoran Fan Chenhao Lin Qian Li Zhengyu Zhao Chao Shen Xiaohong Guan AAML 85 0 0 12 Nov 2024
On Active Privacy Auditing in Supervised Fine-tuning for White-Box Language Models Qian Sun Hanpeng Wu Xi Sheryl Zhang 81 0 0 11 Nov 2024
A Method to Facilitate Membership Inference Attacks in Deep Learning Models Zitao Chen Karthik Pattabiraman MIACV MLAU AAML MIALM 135 0 0 02 Jul 2024
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 77 2 0 11 Jun 2024
AI Risk Management Should Incorporate Both Safety and Security Xiangyu Qi Yangsibo Huang Yi Zeng Edoardo Debenedetti Jonas Geiping ... Chaowei Xiao Yue Liu Dawn Song Peter Henderson Prateek Mittal AAML 127 12 0 29 May 2024
Distributional Black-Box Model Inversion Attack with Multi-Agent Reinforcement Learning Huan Bao Kaimin Wei Yongdong Wu Jin Qian Robert H. Deng 74 0 0 22 Apr 2024
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps Ruixuan Liu Tianhao Wang Yang Cao Li Xiong AAML SILM 159 19 0 14 Mar 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 175 2 0 07 Dec 2023
ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach Yuke Hu Jian Lou Jiaqi Liu Wangze Ni Feng Lin Zhan Qin Kui Ren MU 108 15 0 03 Nov 2023
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models Boyang Zhang Zheng Li Ziqing Yang Xinlei He Michael Backes Mario Fritz Yang Zhang 108 6 0 19 Oct 2023
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning Harsh Chaudhari Giorgio Severi Alina Oprea Jonathan R. Ullman 88 6 0 05 Oct 2023
VertexSerum: Poisoning Graph Neural Networks for Link Inference Ruyi Ding Shijin Duan Xiaolin Xu Yunsi Fei AAML GNN 80 5 0 02 Aug 2023
Membership Inference Attacks on DNNs using Adversarial Perturbations Hassan Ali Adnan Qayyum Ala I. Al-Fuqaha Junaid Qadir AAML 117 3 0 11 Jul 2023
Discriminative Adversarial Privacy: Balancing Accuracy and Membership Privacy in Neural Networks Eugenio Lomurno Alberto Archetti Francesca Ausonio Matteo Matteucci AAML 65 4 0 05 Jun 2023
Do Backdoors Assist Membership Inference Attacks? Yumeki Goto Nami Ashizawa Toshiki Shibahara Naoto Yanai MIACV 73 2 0 22 Mar 2023
Students Parrot Their Teachers: Membership Inference on Model Distillation Matthew Jagielski Milad Nasr Christopher A. Choquette-Choo Katherine Lee Nicholas Carlini FedML 73 23 0 06 Mar 2023
Bounding Information Leakage in Machine Learning Ganesh Del Grosso Georg Pichler C. Palamidessi Pablo Piantanida MIACV FedML 96 10 0 09 May 2021