Membership Inference Attacks by Exploiting Loss Trajectory

Conference on Computer and Communications Security (CCS), 2022

31 August 2022

Michael Backes

Papers citing "Membership Inference Attacks by Exploiting Loss Trajectory"

50 / 66 papers shown

Title
Are Neuro-Inspired Multi-Modal Vision-Language Models Resilient to Membership Inference Privacy Leakage? David Amebley Sayanton Dibbo AAML 168 0 0 24 Nov 2025
Membership Inference Attacks Beyond Overfitting Mona Khalil Alberto Blanco-Justicia N. Jebreel Josep Domingo-Ferrer MIALM 166 0 0 20 Nov 2025
The Tail Tells All: Estimating Model-Level Membership Inference Vulnerability Without Reference Models Euodia Dodd Nataša Krčo Igor Shilov Yves-Alexandre de Montjoye 133 0 0 22 Oct 2025
LLM-Assisted Modeling of Semantic Web-Enabled Multi-Agents Systems with AJAN Hacane Hechehouche Andre Antakli Matthias Klusch LLMAG 3DV 204 0 0 08 Oct 2025
Membership Inference Attacks on Recommender System: A Survey Jiajie He Xintong Chen Xinyang Fang Min-Chun Chen Yuechun Gu Keke Chen 131 0 0 14 Sep 2025
Imitative Membership Inference Attack Yuntao Du Yuetian Chen Hanshen Xiao Bruno Ribeiro Ninghui Li 124 0 0 08 Sep 2025
Privacy Risks in Time Series Forecasting: User- and Record-Level Membership Inference Nicolas Johansson Tobias Olsson Daniel Nilsson Johan Östman Fazeleh Hoseini AI4TS 180 0 0 04 Sep 2025
Membership Inference Attacks on LLM-based Recommender Systems Jiajie He Yuechun Gu Min-Chun Chen Keke Chen Yuechun Gu Keke Chen AAML 228 0 0 26 Aug 2025
Cascading and Proxy Membership Inference Attacks Yuntao Du Jiacheng Li Yuetian Chen Kaiyuan Zhang Zhizhen Yuan Hanshen Xiao Bruno Ribeiro Ninghui Li 262 2 0 29 Jul 2025
CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Na Li Yansong Gao Hongsheng Hu Boyu Kuang Anmin Fu 204 0 0 22 Jul 2025
SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks Kaiyuan Zhang Siyuan Cheng Hanxi Guo Yuetian Chen Zian Su ... Yuntao Du Charles Fleming Jayanth Srinivasa Xiangyu Zhang Ninghui Li AAML 364 5 0 12 Jun 2025
Class Similarity-Based Multimodal Classification under Heterogeneous Category Sets Yangrui Zhu Junhua Bao Yipan Wei Yapeng Li Bo Du 189 0 0 11 Jun 2025
SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Rui Wen Yiyong Liu Michael Backes Yang Zhang AAML 204 2 0 09 Jun 2025
Practical Bayes-Optimal Membership Inference Attacks Marcus Lassila Johan Ostman K. Ngo Alexandre Graell i Amat 186 2 0 30 May 2025
Spurious Privacy Leakage in Neural Networks Chenxiang Zhang Jun Pang S. Mauw 347 1 0 26 May 2025
What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift Jiamin Chang Haoyang Li Hammond Pearce Ruoxi Sun Yue Liu Minhui Xue 303 0 0 28 Apr 2025
Is My Text in Your AI Model? Gradient-based Membership Inference Test applied to LLMs Gonzalo Mancera Daniel DeAlcala Julian Fierrez Ruben Tolosana Aythami Morales 318 6 0 10 Mar 2025
Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models Yu He Boheng Li Lu Liu Zhongjie Ba Wei Dong Yiming Li Zhan Qin Kui Ren Chong Chen MIALM 454 14 0 26 Feb 2025
Rethinking Membership Inference Attacks Against Transfer LearningIEEE Transactions on Information Forensics and Security (TIFS), 2025 Yanwei Yue Jing Chen Qianru Fang Kun He Ziming Zhao Hao Ren Guowen Xu Yang Liu Yang Xiang 347 58 0 20 Jan 2025
Neural Honeytrace: A Robust Plug-and-Play Watermarking Framework against Model Extraction Attacks Yixiao Xu Binxing Fang Rui Wang Yinghai Zhou S. Ji Yuan Liu Mohan Li AAML MIACV 552 0 0 16 Jan 2025
Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Yuhan Liu Florent Guépin Igor Shilov Yves-Alexandre de Montjoye 195 1 0 31 Dec 2024
Membership Inference Attacks and Defenses in Federated Learning: A SurveyACM Computing Surveys (ACM CSUR), 2024 Li Bai Haibo Hu Qingqing Ye Haoyang Li Leixia Wang Jianliang Xu FedML 241 53 0 09 Dec 2024
DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box ModelIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024 Rongqing Li Jiaqi Yu Changsheng Li Tong Lu Ye Yuan Guoren Wang MLAU 307 0 0 08 Dec 2024
Hide in Plain Sight: Clean-Label Backdoor for Auditing Membership Inference Depeng Chen Hao Chen Hulin Jin Jie Cui Hong Zhong 222 1 0 24 Nov 2024
Subject Data Auditing via Source Inference Attack in Cross-Silo Federated LearningJournal of Information Security and Applications (JISA), 2024 Jiaxin Li Marco Arazzi Antonino Nocera Mauro Conti 173 3 0 28 Sep 2024
Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm?Network and Distributed System Security Symposium (NDSS), 2024 Rui Wen Michael Backes Yang Zhang TDI AAML 238 5 0 05 Sep 2024
Exploiting the Vulnerability of Large Language Models via Defense-Aware Architectural Backdoor Abdullah Arafat Miah Yu Bi AAML SILM 287 2 0 03 Sep 2024
Membership Inference Attacks Against In-Context LearningConference on Computer and Communications Security (CCS), 2024 Rui Wen Hui Yuan Michael Backes Yang Zhang 266 36 0 02 Sep 2024
Is Difficulty Calibration All We Need? Towards More Practical Membership Inference AttacksConference on Computer and Communications Security (CCS), 2024 Yu He Boheng Li Yao Wang Mengda Yang Juan Wang Hongxin Hu Xingyu Zhao 390 20 0 31 Aug 2024
Protecting against simultaneous data poisoning attacksInternational Conference on Learning Representations (ICLR), 2024 Neel Alex Shoaib Ahmed Siddiqui Amartya Sanyal David M. Krueger AAML 260 1 0 23 Aug 2024
The Power of Bias: Optimizing Client Selection in Federated Learning with Heterogeneous Differential PrivacyIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2024 Jiating Ma Yipeng Zhou Qi Li Quan Z. Sheng Laizhong Cui Jiangchuan Liu FedML 172 2 0 16 Aug 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive SurveyACM Computing Surveys (ACM CSUR), 2024 V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 326 40 0 06 Aug 2024
SeqMIA: Sequential-Metric Based Membership Inference Attack Hao Li Zheng Li Siyuan Wu Chengrui Hu Yutong Ye Min Zhang Dengguo Feng Yang Zhang 188 24 0 21 Jul 2024
Learning to Unlearn for Robust Machine Unlearning Mark He Huang Lin Geng Foo Jun Liu MU 197 19 0 15 Jul 2024
A Method to Facilitate Membership Inference Attacks in Deep Learning Models Zitao Chen Karthik Pattabiraman MIACV MLAU AAML MIALM 343 6 0 02 Jul 2024
QUEEN: Query Unlearning against Model Extraction Huajie Chen Tianqing Zhu Lefeng Zhang Bo Liu Derui Wang Wanlei Zhou Minhui Xue MIACV 349 9 0 01 Jul 2024
Silver Linings in the Shadows: Harnessing Membership Inference for Machine Unlearning Nexhi Sula Abhinav Kumar Jie Hou Han Wang R. Tourani MU 287 1 0 01 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 238 10 0 11 Jun 2024
OSLO: One-Shot Label-Only Membership Inference Attacks Yuefeng Peng Jaechul Roh Subhransu Maji Amir Houmansadr 239 8 0 27 May 2024
GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation Andrey V. Galichin Mikhail Aleksandrovich Pautov Alexey Zhavoronkin Oleg Y. Rogov Ivan Oseledets AAML 253 7 0 13 May 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures Thanh Tam Nguyen T. T. Huynh Zhao Ren Thanh Toan Nguyen Phi Le Nguyen Hongzhi Yin Quoc Viet Hung Nguyen 411 12 0 31 Mar 2024
MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection Boyang Peng Sanqing Qu Yong Wu Tianpei Zou Lianghua He Alois Knoll Guang Chen Changjun Jiang AAML 179 4 0 07 Mar 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Chao-Jung Liu Boxi Chen Wei Shao Chris Zhang Kelvin Wong Yi Zhang 286 7 0 22 Jan 2024
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software DeploymentIEEE Transactions on Software Engineering (TSE), 2024 Jie Zhu Leye Wang Xiao Han Anmin Liu Tao Xie AAML 191 6 0 02 Jan 2024
Black-box Membership Inference Attacks against Fine-tuned Diffusion ModelsNetwork and Distributed System Security Symposium (NDSS), 2023 Yan Pang Tianhao Wang 330 33 0 13 Dec 2023
Low-Cost High-Power Membership Inference AttacksInternational Conference on Machine Learning (ICML), 2023 Sajjad Zarifzadeh Philippe Liu Reza Shokri 312 74 0 06 Dec 2023
ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware ApproachConference on Computer and Communications Security (CCS), 2023 Yuke Hu Jian Lou Jiaqi Liu Wangze Ni Feng Lin Zhan Qin Kui Ren MU 295 25 0 03 Nov 2023
Black-Box Training Data Identification in GANs via Detector Networks Lukman Olagoke Salil P. Vadhan Seth Neel 165 0 0 18 Oct 2023
Quantifying Privacy Risks of Prompts in Visual Prompt LearningUSENIX Security Symposium (USENIX Security), 2023 Yixin Wu Rui Wen Michael Backes Pascal Berrang Mathias Humbert Yun Shen Yang Zhang AAML VPVLM 244 11 0 18 Oct 2023
A Comprehensive Study of Privacy Risks in Curriculum LearningProceedings on Privacy Enhancing Technologies (PoPETs), 2023 Joann Qiongna Chen Xinlei He Zheng Li Yang Zhang Zhou Li 255 2 0 16 Oct 2023