ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

4 June 2018

Mario Fritz

Michael Backes

MIACV

MIALM

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Papers citing "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"

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Title
A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability Jie Zhu Jirong Zha Ding Li Leye Wang 31 0 0 15 May 2025
On the Account Security Risks Posed by Password Strength Meters Ming Xu Weili Han Jitao Yu J. Liu X. Zhang Yun Lin J. Dong 29 0 0 13 May 2025
Securing Genomic Data Against Inference Attacks in Federated Learning Environments Chetan Pathade Shubham Patil 26 0 0 12 May 2025
Izhikevich-Inspired Temporal Dynamics for Enhancing Privacy, Efficiency, and Transferability in Spiking Neural Networks Ayana Moshruba Hamed Poursiami Maryam Parsa 30 0 0 07 May 2025
Adversarial Attacks in Multimodal Systems: A Practitioner's Survey Shashank Kapoor Sanjay Surendranath Girija Lakshit Arora Dipen Pradhan Ankit Shetgaonkar Aman Raj AAML 69 0 0 06 May 2025
What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift Jiamin Chang H. Li Hammond Pearce Ruoxi Sun Bo-wen Li Minhui Xue 38 0 0 28 Apr 2025
DeSIA: Attribute Inference Attacks Against Limited Fixed Aggregate Statistics Yifeng Mao Bozhidar Stevanoski Yves-Alexandre de Montjoye 47 0 0 25 Apr 2025
Sharpness-Aware Parameter Selection for Machine Unlearning Saber Malekmohammadi Hong kyu Lee Li Xiong MU 154 0 0 08 Apr 2025
A Survey on Unlearnable Data Jiahao Li Yiqiang Chen Yunbing Xing Yang Gu Xiangyuan Lan AAML 58 0 0 30 Mar 2025
Instance-Level Data-Use Auditing of Visual ML Models Zonghao Huang Neil Zhenqiang Gong Michael K. Reiter MLAU 60 0 0 28 Mar 2025
Graph-Level Label-Only Membership Inference Attack against Graph Neural Networks Jiazhu Dai Yubing Lu 47 0 0 24 Mar 2025
Language Models May Verbatim Complete Text They Were Not Explicitly Trained On Ken Ziyu Liu Christopher A. Choquette-Choo Matthew Jagielski Peter Kairouz Sanmi Koyejo Percy Liang Nicolas Papernot 53 0 0 21 Mar 2025
All Your Knowledge Belongs to Us: Stealing Knowledge Graphs via Reasoning APIs Zhaohan Xi 61 0 0 12 Mar 2025
Efficient Membership Inference Attacks by Bayesian Neural Network Zhenlong Liu Wenyu Jiang Feng Zhou Hongxin Wei MIALM 68 1 0 10 Mar 2025
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges Qiongxiu Li Wenrui Yu Yufei Xia Jun Pang FedML 52 1 0 10 Mar 2025
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond Qiongxiu Li Xiaoyu Luo Yiyi Chen Johannes Bjerva 45 0 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 53 0 0 08 Mar 2025
FedEM: A Privacy-Preserving Framework for Concurrent Utility Preservation in Federated Learning Mingcong Xu Xiaojin Zhang Wei Chen Hai Jin FedML 43 0 0 08 Mar 2025
Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models Yu He Boheng Li L. Liu Zhongjie Ba Wei Dong Yiming Li Z. Qin Kui Ren C. L. P. Chen MIALM 74 0 0 26 Feb 2025
On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels Ayana Moshruba Shay Snyder Hamed Poursiami Maryam Parsa AAML 71 2 0 25 Feb 2025
Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study Ayana Moshruba Ihsen Alouani Maryam Parsa AAML 48 3 0 24 Feb 2025
Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training Jaydeep Borkar Matthew Jagielski Katherine Lee Niloofar Mireshghallah David A. Smith Christopher A. Choquette-Choo PILM 80 1 0 24 Feb 2025
Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models M. Russinovich Ahmed Salem MU CLL 59 0 0 20 Feb 2025
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis Junyi Guan Abhijith Sharma Chong Tian Salem Lahlou AAML 49 1 0 18 Feb 2025
Has My System Prompt Been Used? Large Language Model Prompt Membership Inference Roman Levin Valeriia Cherepanova Abhimanyu Hans Avi Schwarzschild Tom Goldstein 146 1 0 14 Feb 2025
CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling Kaiyuan Zhang Siyuan Cheng Guangyu Shen Bruno Ribeiro Shengwei An Pin-Yu Chen X. Zhang Ninghui Li 97 1 0 28 Jan 2025
Rethinking Membership Inference Attacks Against Transfer Learning Cong Wu Jing Chen Qianru Fang Kun He Ziming Zhao Hao Ren Guowen Xu Yang Liu Yang Xiang 64 34 0 20 Jan 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 42 1 0 19 Jan 2025
Synthetic Data Privacy Metrics Amy Steier Lipika Ramaswamy Andre Manoel Alexa Haushalter 43 0 0 08 Jan 2025
AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation Ying Chen Jiajing Chen Yijie Weng ChiaHua Chang Dezhi Yu Guanbiao Lin MIACV AAML 44 0 0 04 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 33 0 0 31 Dec 2024
The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification Ahmad Hassanpour Amir Zarei Khawla Mallat Anderson Santana de Oliveira Bian Yang 77 0 0 16 Dec 2024
Hide in Plain Sight: Clean-Label Backdoor for Auditing Membership Inference Depeng Chen Hao Chen Hulin Jin Jie Cui Hong Zhong 74 0 0 24 Nov 2024
CDI: Copyrighted Data Identification in Diffusion Models Jan Dubiñski Antoni Kowalczuk Franziska Boenisch Adam Dziedzic 72 1 0 19 Nov 2024
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models Ding Li Ziqi Zhang Mengyu Yao Y. Cai Yao Guo Xiangqun Chen FedML 37 2 0 15 Nov 2024
On Active Privacy Auditing in Supervised Fine-tuning for White-Box Language Models Qian Sun Hanpeng Wu Xi Sheryl Zhang 36 0 0 11 Nov 2024
Unlearning in- vs. out-of-distribution data in LLMs under gradient-based method Teodora Baluta Pascal Lamblin Daniel Tarlow Fabian Pedregosa Gintare Karolina Dziugaite MU 32 1 0 07 Nov 2024
Membership Inference Attacks against Large Vision-Language Models Zhan Li Yongtao Wu Yihang Chen F. Tonin Elias Abad Rocamora V. Cevher 39 4 0 05 Nov 2024
TDDBench: A Benchmark for Training data detection Zhihao Zhu Yi Yang Defu Lian 49 0 0 05 Nov 2024
Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data Splitting Bao Q. Tran Viet Anh Nguyen Anh Tran Toan M. Tran 26 0 0 22 Oct 2024
SoK: Dataset Copyright Auditing in Machine Learning Systems L. Du Xuanru Zhou M. Chen Chusong Zhang Zhou Su Peng Cheng Jiming Chen Zhikun Zhang MLAU 18 3 0 22 Oct 2024
Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models J. Ren Kangrui Chen Chen Chen Vikash Sehwag Yue Xing Jiliang Tang Lingjuan Lyu 26 1 0 16 Oct 2024
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting Jiahao Lu Yifan Zhang Qiuhong Shen Xinchao Wang Shuicheng Yan 3DGS 42 1 0 10 Oct 2024
Defending Membership Inference Attacks via Privacy-aware Sparsity Tuning Qiang Hu Hengxiang Zhang Hongxin Wei 26 1 0 09 Oct 2024
Fine-tuning can Help Detect Pretraining Data from Large Language Models H. Zhang Songxin Zhang Bingyi Jing Hongxin Wei 43 0 0 09 Oct 2024
CAP: Detecting Unauthorized Data Usage in Generative Models via Prompt Generation Daniela Gallo Angelica Liguori E. Ritacco Luca Caviglione Fabrizio Durante Giuseppe Manco 19 0 0 08 Oct 2024
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models Haokun Chen Hang Li Yao Zhang Gengyuan Zhang Jinhe Bi Philip H. S. Torr Philip Torr Denis Krompass Denis Krompass Volker Tresp 27 2 0 07 Oct 2024
Membership Privacy Evaluation in Deep Spiking Neural Networks Jiaxin Li Gorka Abad S. Picek Mauro Conti AAML 28 1 0 28 Sep 2024
Privacy Evaluation Benchmarks for NLP Models Wei Huang Yinggui Wang Cen Chen ELM SILM 24 1 0 24 Sep 2024
Perfect Gradient Inversion in Federated Learning: A New Paradigm from the Hidden Subset Sum Problem Qiongxiu Li Lixia Luo Agnese Gini Changlong Ji Zhanhao Hu Xiao-Li Li Chengfang Fang Jie Shi Xiaolin Hu FedML 29 3 0 21 Sep 2024