Membership Inference Attacks against Machine Learning Models

18 October 2016

Papers citing "Membership Inference Attacks against Machine Learning Models"

50 / 2,051 papers shown

Title
Towards Reliable Empirical Machine Unlearning Evaluation: A Cryptographic Game Perspective Yiwen Tu Pingbang Hu Jiaqi W. Ma MU 69 0 0 17 Feb 2025
Has My System Prompt Been Used? Large Language Model Prompt Membership Inference Roman Levin Valeriia Cherepanova Abhimanyu Hans Avi Schwarzschild Tom Goldstein 176 1 0 14 Feb 2025
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning Runhua Xu Shiqi Gao Chao Li J. Joshi Jianxin Li 48 2 0 08 Feb 2025
Adversarial ML Problems Are Getting Harder to Solve and to Evaluate Javier Rando Jie Zhang Nicholas Carlini F. Tramèr AAML ELM 61 3 0 04 Feb 2025
SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models Jiawen Zhang Kejia Chen Zunlei Feng Jian Lou Mingli Song Jiaheng Liu Xiaoyu Yang AAML SILM FedML 45 1 0 02 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 Xinming Zhang Ninghui Li 122 1 0 28 Jan 2025
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning Dayong Ye Tainqing Zhu Jiashi Li Kun Gao B. Liu Lefei Zhang Wanlei Zhou Yanmei Zhang AAML MU 80 0 0 28 Jan 2025
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments Mehdi Ben Ghali Reda Bellafqira Gouenou Coatrieux AAML FedML 48 0 0 21 Jan 2025
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy Khaoula Chehbouni Martine De Cock Gilles Caporossi Afaf Taik Reihaneh Rabbany G. Farnadi 78 0 0 21 Jan 2025
Rethinking Membership Inference Attacks Against Transfer Learning Yanwei Yue Jing Chen Qianru Fang Kun He Ziming Zhao Hao Ren Guowen Xu Yang Liu Yang Xiang 64 34 0 20 Jan 2025
A performance analysis of VM-based Trusted Execution Environments for Confidential Federated Learning Bruno Casella FedML 34 0 0 20 Jan 2025
CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers Matan Ben-Tov Daniel Deutch Nave Frost Mahmood Sharif AAML 109 0 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
Generative Medical Image Anonymization Based on Latent Code Projection and Optimization Huiyu Li N. Ayache H. Delingette MedIm 46 0 0 17 Jan 2025
Privacy-Preserving Model and Preprocessing Verification for Machine Learning Wenbiao Li Anisa Halimi Xiaoqian Jiang Jaideep Vaidya Erman Ayday AAML 53 0 0 14 Jan 2025
Has an AI model been trained on your images? Matyáš Boháček Hany Farid 40 0 0 11 Jan 2025
Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study Yutan Huang Chetan Arora Wen Cheng Houng Tanjila Kanij Anuradha Madulgalla John C. Grundy 85 1 0 08 Jan 2025
Synthetic Data Privacy Metrics Amy Steier Lipika Ramaswamy Andre Manoel Alexa Haushalter 45 0 0 08 Jan 2025
A Statistical Hypothesis Testing Framework for Data Misappropriation Detection in Large Language Models Yinpeng Cai Lexin Li Linjun Zhang 171 0 0 05 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 46 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 38 0 0 31 Dec 2024
Differentially Private Random Block Coordinate Descent A. Maranjyan Abdurakhmon Sadiev Peter Richtárik 62 0 0 22 Dec 2024
Data value estimation on private gradients Zijian Zhou Xinyi Xu Daniela Rus Bryan Kian Hsiang Low 74 0 0 22 Dec 2024
Prompt-based Unifying Inference Attack on Graph Neural Networks Yuecen Wei Xingcheng Fu Lingyun Liu Qingyun Sun Hao Peng Chunming Hu AAML 79 0 0 20 Dec 2024
Toward Efficient Data-Free Unlearning Chenhao Zhang Shaofei Shen Weitong Chen Miao Xu MU 71 0 0 18 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 81 0 0 16 Dec 2024
Efficiently Achieving Secure Model Training and Secure Aggregation to Ensure Bidirectional Privacy-Preservation in Federated Learning Xue Yang Depan Peng Yan Feng Xiaohu Tang Weijun Fang Jun Shao FedML 82 0 0 16 Dec 2024
Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning Andrei Semenov Philip Zmushko Alexander Pichugin Aleksandr Beznosikov 88 0 0 16 Dec 2024
SeSeMI: Secure Serverless Model Inference on Sensitive Data Guoyu Hu Yuncheng Wu Gang Chen Tien Tuan Anh Dinh Beng Chin Ooi 75 1 0 16 Dec 2024
Privacy-Preserving Brain-Computer Interfaces: A Systematic Review K. Xia W. Duch Y. Sun K. Xu W. Fang ... Y. Zhang D. Sang X. Xu F-Y Wang D. Wu 103 34 0 16 Dec 2024
Optimizing AI-Assisted Code Generation Simon Torka Sahin Albayrak 75 0 0 14 Dec 2024
Membership Inference Attacks and Defenses in Federated Learning: A Survey Li Bai Haibo Hu Qingqing Ye Haoyang Li Leixia Wang Jianliang Xu FedML 82 14 0 09 Dec 2024
Privacy Drift: Evolving Privacy Concerns in Incremental Learning Sayyed Farid Ahamed S. Banerjee Sandip Roy Aayush Kapoor Marc Vucovich K. Choi Abdul Rahman Edward Bowen Sachin Shetty FedML 71 0 0 06 Dec 2024
Towards Data Governance of Frontier AI Models Jason Hausenloy Duncan McClements Madhavendra Thakur 77 1 0 05 Dec 2024
DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators Tejumade Afonja Hui-Po Wang Raouf Kerkouche Mario Fritz SyDa 118 2 0 03 Dec 2024
The Evolution and Future Perspectives of Artificial Intelligence Generated Content Chengzhang Zhu Luobin Cui Ying Tang Jiacun Wang 92 1 0 02 Dec 2024
Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning Nikolaos Chandrinos Iliana Loi Panagiotis Zachos Ioannis Symeonidis Aristotelis Spiliotis Maria Panou Konstantinos Moustakas 71 0 0 02 Dec 2024
Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data Wenxin Su Song Tang Xiaofeng Liu Xiaojing Yi Mao Ye Chunxiao Zu Jiahao Li Xiatian Zhu OOD MedIm 89 0 0 02 Dec 2024
Adversarial Sample-Based Approach for Tighter Privacy Auditing in Final Model-Only Scenarios Sangyeon Yoon Wonje Jeung Albert No 85 0 0 02 Dec 2024
Intermediate Outputs Are More Sensitive Than You Think Tao Huang Qingyu Huang Jiayang Meng AAML 70 1 0 01 Dec 2024
Leveraging A New GAN-based Transformer with ECDH Crypto-system for Enhancing Energy Theft Detection in Smart Grid Yang Yang Xun Yuan Arwa Alromih A. Pasikhani P. Gope Biplab Sikdar 69 0 0 27 Nov 2024
Efficient and Private: Memorisation under differentially private parameter-efficient fine-tuning in language models Olivia Ma Jonathan Passerat-Palmbach Dmitrii Usynin 77 0 0 24 Nov 2024
Exploiting Watermark-Based Defense Mechanisms in Text-to-Image Diffusion Models for Unauthorized Data Usage Soumil Datta Shih-Chieh Dai Leo Yu Guanhong Tao WIGM 81 0 0 22 Nov 2024
SoK: A Systems Perspective on Compound AI Threats and Countermeasures Sarbartha Banerjee Prateek Sahu Mulong Luo Anjo Vahldiek-Oberwagner N. Yadwadkar Mohit Tiwari AAML 77 0 0 20 Nov 2024
CDI: Copyrighted Data Identification in Diffusion Models Jan Dubiñski Antoni Kowalczuk Franziska Boenisch Adam Dziedzic 72 1 0 19 Nov 2024
Empirical Privacy Evaluations of Generative and Predictive Machine Learning Models -- A review and challenges for practice Flavio Hafner Chang Sun SyDa 71 0 0 19 Nov 2024
Membership Inference Attack against Long-Context Large Language Models Zixiong Wang Gaoyang Liu Yang Yang Chen Wang 81 1 0 18 Nov 2024
Establishing Minimum Elements for Effective Vulnerability Management in AI Software Mohamad Fazelnia Sara Moshtari Mehdi Mirakhorli 31 2 0 18 Nov 2024
A Review on Machine Unlearning Haibo Zhang Toru Nakamura Takamasa Isohara Kouichi Sakurai AILaw PILM MU 96 47 0 18 Nov 2024
Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Yu Jiang Xindi Tong Ziyao Liu Huanyi Ye Chee Wei Tan K. Lam MU 33 1 0 17 Nov 2024