EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning

25 August 2021

Wenjie Qu

Papers citing "EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning"

50 / 60 papers shown

Title
Black-Box Privacy Attacks on Shared Representations in Multitask Learning John Abascal Nicolás Berrios Alina Oprea Jonathan R. Ullman Adam D. Smith Matthew Jagielski MLAU 26 0 0 19 Jun 2025
Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models Zongyu Wu Minhua Lin Zhiwei Zhang Fali Wang Xianren Zhang Xiang Zhang Suhang Wang 27 0 0 14 Jun 2025
When Better Features Mean Greater Risks: The Performance-Privacy Trade-Off in Contrastive Learning Ruining Sun Hongsheng Hu Wei Luo Zhaoxi Zhang Yanjun Zhang Haizhuan Yuan Leo Yu Zhang MIACV AAML 60 0 0 06 Jun 2025
BESA: Boosting Encoder Stealing Attack with Perturbation Recovery Xuhao Ren Haotian Liang Yajie Wang Chuan Zhang Zehui Xiong Liehuang Zhu AAML 94 0 0 05 Jun 2025
A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability Jie Zhu Jirong Zha Ding Li Leye Wang 131 1 0 15 May 2025
Measuring Déjà vu Memorization Efficiently Narine Kokhlikyan Bargav Jayaraman Florian Bordes Chuan Guo Kamalika Chaudhuri 65 1 0 08 Apr 2025
Instance-Level Data-Use Auditing of Visual ML Models Zonghao Huang Neil Zhenqiang Gong Michael K. Reiter MLAU 99 0 0 28 Mar 2025
Efficient Membership Inference Attacks by Bayesian Neural Network Zhenlong Liu Wenyu Jiang Feng Zhou Hongxin Wei MIALM 102 1 0 10 Mar 2025
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers Huan Tian Guangsheng Zhang Bo Liu Tianqing Zhu Ming Ding Wanlei Zhou 93 1 0 08 Mar 2025
GRID: Protecting Training Graph from Link Stealing Attacks on GNN Models Jiadong Lou Xu Yuan Rui Zhang Xingliang Yuan Neil Gong N. Tzeng AAML 90 1 0 19 Jan 2025
Membership Inference Attacks and Defenses in Federated Learning: A Survey Li Bai Haibo Hu Qingqing Ye Haoyang Li Leixia Wang Jianliang Xu FedML 114 14 0 09 Dec 2024
SoK: Unifying Cybersecurity and Cybersafety of Multimodal Foundation Models with an Information Theory Approach Ruoxi Sun Jiamin Chang Hammond Pearce Chaowei Xiao B. Li Qi Wu Surya Nepal Minhui Xue 109 0 0 17 Nov 2024
Membership Inference Attacks against Large Vision-Language Models Zhan Li Yongtao Wu Yihang Chen F. Tonin Elias Abad Rocamora Volkan Cevher 76 9 0 05 Nov 2024
Membership Privacy Evaluation in Deep Spiking Neural Networks Jiaxin Li Gorka Abad S. Picek Mauro Conti AAML 73 1 0 28 Sep 2024
Localizing Memorization in SSL Vision Encoders Wenhao Wang Adam Dziedzic Michael Backes Franziska Boenisch 67 2 0 27 Sep 2024
Membership Inference Attack Against Masked Image Modeling Zehan Li Xinlei He Ning Yu Yang Zhang 77 3 0 13 Aug 2024
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services Shaopeng Fu Xuexue Sun Ke Qing Tianhang Zheng Di Wang AAML MIACV SILM 123 0 0 05 Aug 2024
Alignment Calibration: Machine Unlearning for Contrastive Learning under Auditing Yihan Wang Yiwei Lu Guojun Zhang Franziska Boenisch Adam Dziedzic Yaoliang Yu Xiao-Shan Gao MU 103 1 0 05 Jun 2024
Better Membership Inference Privacy Measurement through Discrepancy Ruihan Wu Pengrun Huang Kamalika Chaudhuri MIACV 68 0 0 24 May 2024
Machine Unlearning in Contrastive Learning Zixin Wang Kongyang Chen MU SSL 29 0 0 12 May 2024
A Unified Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability Jie Zhu Jirong Zha Ding Li Leye Wang 86 8 0 03 Apr 2024
Membership Information Leakage in Federated Contrastive Learning Kongyang Chen Wenfeng Wang Zixin Wang Wangjun Zhang Zhipeng Li Yao Huang FedML 95 1 0 06 Mar 2024
DPAdapter: Improving Differentially Private Deep Learning through Noise Tolerance Pre-training Zihao Wang Rui Zhu Dongruo Zhou Zhikun Zhang John C. Mitchell Haixu Tang Xiaofeng Wang AAML 80 6 0 05 Mar 2024
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss Zhenlong Liu Lei Feng Huiping Zhuang Xiaofeng Cao Hongxin Wei 73 2 0 08 Feb 2024
Memorization in Self-Supervised Learning Improves Downstream Generalization Wenhao Wang Muhammad Ahmad Kaleem Adam Dziedzic Michael Backes Nicolas Papernot Franziska Boenisch SSL 72 11 0 19 Jan 2024
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software Deployment Jie Zhu Leye Wang Xiao Han Anmin Liu Tao Xie AAML 110 6 0 02 Jan 2024
Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction Shuchi Wu Chuan Ma Kang Wei Xiaogang Xu Ming Ding Yuwen Qian Tao Xiang 55 0 0 01 Dec 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 135 3 0 20 Nov 2023
MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training Jiacheng Li Ninghui Li Bruno Ribeiro 109 4 0 02 Nov 2023
Quantifying Privacy Risks of Prompts in Visual Prompt Learning Yixin Wu Rui Wen Michael Backes Pascal Berrang Mathias Humbert Yun Shen Yang Zhang AAML VPVLM 107 10 0 18 Oct 2023
A Comprehensive Study of Privacy Risks in Curriculum Learning Joann Qiongna Chen Xinlei He Zheng Li Yang Zhang Zhou Li 122 2 0 16 Oct 2023
Defending Our Privacy With Backdoors Dominik Hintersdorf Lukas Struppek Daniel Neider Kristian Kersting SILM AAML 102 2 0 12 Oct 2023
StegGuard: Fingerprinting Self-supervised Pre-trained Encoders via Secrets Embeder and Extractor Xingdong Ren Tianxing Zhang Hanzhou Wu Xinpeng Zhang Yinggui Wang Guangling Sun LLMSV 84 0 0 05 Oct 2023
SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition Systems Guangke Chen Yedi Zhang Fu Song 80 8 0 14 Sep 2023
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning Ziqi Zhou Shengshan Hu Minghui Li Hangtao Zhang Yechao Zhang Hai Jin AAML 127 75 0 14 Aug 2023
Downstream-agnostic Adversarial Examples Ziqi Zhou Shengshan Hu Rui-Qing Zhao Qian Wang L. Zhang Junhui Hou Hai Jin SILM AAML 88 25 0 23 Jul 2023
SoK: Comparing Different Membership Inference Attacks with a Comprehensive Benchmark Jun Niu Xiaoyan Zhu Moxuan Zeng Ge Zhang Qingyang Zhao ... Peng Liu Yulong Shen Xiaohong Jiang Jianfeng Ma Yuqing Zhang 76 4 0 12 Jul 2023
Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction Zitao Chen Karthik Pattabiraman 84 24 0 04 Jul 2023
Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training Alyssa Huang Peihan Liu Ryumei Nakada Linjun Zhang Wanrong Zhang VLM 139 6 0 13 Jun 2023
TMI! Finetuned Models Leak Private Information from their Pretraining Data John Abascal Stanley Wu Alina Oprea Jonathan R. Ullman 102 18 0 01 Jun 2023
Watermarking Text Data on Large Language Models for Dataset Copyright Yixin Liu Hongsheng Hu Xun Chen Xuyun Zhang Lichao Sun WaLM 77 26 0 22 May 2023
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning A. Salem Giovanni Cherubin David Evans Boris Köpf Andrew Paverd Anshuman Suri Shruti Tople Santiago Zanella Béguelin 150 40 0 21 Dec 2022
Membership Inference Attacks and Generalization: A Causal Perspective Teodora Baluta Shiqi Shen S. Hitarth Shruti Tople Prateek Saxena OOD MIACV 98 20 0 18 Sep 2022
Dataset Inference for Self-Supervised Models Adam Dziedzic Haonan Duan Muhammad Ahmad Kaleem Nikita Dhawan Jonas Guan Yannis Cattan Franziska Boenisch Nicolas Papernot 114 28 0 16 Sep 2022
Does CLIP Know My Face? Dominik Hintersdorf Lukas Struppek Manuel Brack Felix Friedrich P. Schramowski Kristian Kersting VLM 60 11 0 15 Sep 2022
M^4I: Multi-modal Models Membership Inference Pingyi Hu Zihan Wang Ruoxi Sun Hu Wang Minhui Xue 97 27 0 15 Sep 2022
On the Privacy Risks of Cell-Based NAS Architectures Haiping Huang Zhikun Zhang Yun Shen Michael Backes Qi Li Yang Zhang 90 8 0 04 Sep 2022
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning Xinlei He Hongbin Liu Neil Zhenqiang Gong Yang Zhang AAML MIACV 85 16 0 25 Jul 2022
SecretGen: Privacy Recovery on Pre-Trained Models via Distribution Discrimination Zhu-rong Yuan Fan Wu Yunhui Long Chaowei Xiao Yue Liu 68 9 0 25 Jul 2022
The Privacy Onion Effect: Memorization is Relative Nicholas Carlini Matthew Jagielski Chiyuan Zhang Nicolas Papernot Andreas Terzis Florian Tramèr PILM MIACV 138 110 0 21 Jun 2022