Membership Inference Attacks on Machine Learning: A Survey

14 March 2021

Lichao Sun

Philip S. Yu

Papers citing "Membership Inference Attacks on Machine Learning: A Survey"

50 / 160 papers shown

Title
Source Anonymity for Private Random Walk Decentralized Learning Maximilian Egger Svenja Lage Rawad Bitar A. Wachter-Zeh 14 0 0 11 May 2025
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence Yu Qiao Huy Q. Le Avi Deb Raha Phuong-Nam Tran Apurba Adhikary Mengchun Zhang Loc X. Nguyen Eui-nam Huh Dusit Niyato C. Hong AI4CE 21 0 0 11 May 2025
Privacy-aware Berrut Approximated Coded Computing applied to general distributed learning Xavier Martínez-Luaña M. Fernández-Veiga R. Redondo Ana Fernández Vilas FedML 19 0 0 10 May 2025
Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacy Rushabh Solanki Meghana Bhange Ulrich Aïvodji Elliot Creager 19 0 0 09 May 2025
A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs Yihan Lin Zhirong Bella Yu Simon Lee SyDa 46 0 0 20 Apr 2025
Multi-Objective Optimization for Privacy-Utility Balance in Differentially Private Federated Learning Kanishka Ranaweera David B. Smith P. Pathirana Ming Ding Thierry Rakotoarivelo A. Seneviratne FedML 43 0 0 27 Mar 2025
Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead Viktor Schlegel Anil A Bharath Zilong Zhao Kevin Yee 66 0 0 26 Mar 2025
How Secure is Forgetting? Linking Machine Unlearning to Machine Learning Attacks M. Prabhakaran S. Nicolazzo Antonino Nocera Vinod Puthuvath AAML MU 86 0 0 26 Mar 2025
Membership Inference Attacks on Large-Scale Models: A Survey Hengyu Wu Yang Cao MIALM 64 0 0 25 Mar 2025
Empirical Calibration and Metric Differential Privacy in Language Models Pedro Faustini Natasha Fernandes Annabelle McIver Mark Dras 60 0 0 18 Mar 2025
Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics Daniele Malpetti Marco Scutari Francesco Gualdi Jessica van Setten Sander van der Laan Saskia Haitjema Aaron Mark Lee Isabelle Hering Francesca Mangili FedML AI4CE 95 1 0 12 Mar 2025
Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrity D. López Nuria Rodríguez Barroso M. V. Luzón Francisco Herrera 51 0 0 12 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 43 0 0 10 Mar 2025
NoT: Federated Unlearning via Weight Negation Yasser H. Khalil Leo Maxime Brunswic Soufiane Lamghari Xu Li Mahdi Beitollahi Xi Chen MU 37 2 0 07 Mar 2025
Continual Multi-Robot Learning from Black-Box Visual Place Recognition Models Kenta Tsukahara Kanji Tanaka Daiki Iwata Jonathan Tay Yu Liang 67 0 0 04 Mar 2025
Machine Learners Should Acknowledge the Legal Implications of Large Language Models as Personal Data Henrik Nolte Michèle Finck Kristof Meding AILaw PILM 67 0 0 03 Mar 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 43 0 0 02 Mar 2025
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis Junyi Guan Abhijith Sharma Chong Tian Salem Lahlou AAML 42 1 0 18 Feb 2025
Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study Eric Aubinais Philippe Formont Pablo Piantanida Elisabeth Gassiat 38 0 0 10 Feb 2025
Online Gradient Boosting Decision Tree: In-Place Updates for Efficient Adding/Deleting Data Huawei Lin Jun Woo Chung Yingjie Lao Weijie Zhao 46 0 0 03 Feb 2025
Top Ten Challenges Towards Agentic Neural Graph Databases Jiaxin Bai Z. Wang Yukun Zhou Hang Yin WeiZhi Fei ... Binhang Yuan Wei Wang Lei Chen Xiaofang Zhou Y. Song 55 0 0 24 Jan 2025
Privacy-Preserving Model and Preprocessing Verification for Machine Learning Wenbiao Li Anisa Halimi Xiaoqian Jiang Jaideep Vaidya Erman Ayday AAML 50 0 0 14 Jan 2025
Has an AI model been trained on your images? Matyáš Boháček Hany Farid 33 0 0 11 Jan 2025
A Tale of Two Imperatives: Privacy and Explainability Supriya Manna Niladri Sett 60 0 0 30 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 69 11 0 09 Dec 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 27 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
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA Marlon Tobaben Mohamed Ali Souibgui Rubèn Pérez Tito Khanh Nguyen Raouf Kerkouche ... Josep Lladós Ernest Valveny Antti Honkela Mario Fritz Dimosthenis Karatzas FedML 28 0 0 06 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
Mask-based Membership Inference Attacks for Retrieval-Augmented Generation Mingrui Liu Sixiao Zhang Cheng Long AAML 45 2 0 26 Oct 2024
FedBaF: Federated Learning Aggregation Biased by a Foundation Model Jong-Ik Park Srinivasa Pranav J. M. F. Moura Carlee Joe-Wong AI4CE 68 2 0 24 Oct 2024
Publishing Neural Networks in Drug Discovery Might Compromise Training Data Privacy Fabian P. Krüger Johan Östman Lewis H. Mervin Igor V. Tetko O. Engkvist 14 0 0 22 Oct 2024
Investigating Effective Speaker Property Privacy Protection in Federated Learning for Speech Emotion Recognition Chao Tan Sheng Li Yang Cao Zhao Ren Tanja Schultz 25 0 0 17 Oct 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 73 1 0 09 Oct 2024
FRIDA: Free-Rider Detection using Privacy Attacks Pol G. Recasens Ádám Horváth Alberto Gutierrez-Torre Jordi Torres Josep Ll. Berral Balázs Pejó FedML 19 0 0 07 Oct 2024
A Large-Scale Exploit Instrumentation Study of AI/ML Supply Chain Attacks in Hugging Face Models Beatrice Casey Joanna C. S. Santos Mehdi Mirakhorli CVBM 22 1 0 06 Oct 2024
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement Zhehao Huang Xinwen Cheng JingHao Zheng Haoran Wang Zhengbao He Tao Li X. Huang MU 40 4 0 29 Sep 2024
Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey Yi Zhang Zhen Chen Chih-Hong Cheng Wenjie Ruan Xiaowei Huang Dezong Zhao David Flynn Siddartha Khastgir Xingyu Zhao MedIm 30 3 0 26 Sep 2024
KIPPS: Knowledge infusion in Privacy Preserving Synthetic Data Generation Anantaa Kotal Anupam Joshi 17 1 0 25 Sep 2024
Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI Ambrish Rawat Stefan Schoepf Giulio Zizzo Giandomenico Cornacchia Muhammad Zaid Hameed ... Elizabeth M. Daly Mark Purcell P. Sattigeri Pin-Yu Chen Kush R. Varshney AAML 40 6 0 23 Sep 2024
Membership Inference Attacks Against In-Context Learning Rui Wen Z. Li Michael Backes Yang Zhang 21 6 0 02 Sep 2024
Is Generative AI the Next Tactical Cyber Weapon For Threat Actors? Unforeseen Implications of AI Generated Cyber Attacks Yusuf Usman Aadesh Upadhyay P. Gyawali Robin Chataut AAML 24 2 0 23 Aug 2024
Calibrating Noise for Group Privacy in Subsampled Mechanisms Yangfan Jiang Xinjian Luo Yin Yang Xiaokui Xiao 20 2 0 19 Aug 2024
Adaptive Pre-training Data Detection for Large Language Models via Surprising Tokens Anqi Zhang Chaofeng Wu 28 4 0 30 Jul 2024
Blockchain for Large Language Model Security and Safety: A Holistic Survey Caleb Geren Amanda Board Gaby G. Dagher Tim Andersen Jun Zhuang 44 5 0 26 Jul 2024
Machine Unlearning using a Multi-GAN based Model Amartya Hatua Trung T. Nguyen Andrew H. Sung GAN SyDa MU 25 0 0 26 Jul 2024
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks Yixiang Qiu Hao Fang Hongyao Yu Bin Chen Meikang Qiu Shu-Tao Xia AAML 34 10 0 18 Jul 2024
Unveiling Structural Memorization: Structural Membership Inference Attack for Text-to-Image Diffusion Models Qiao Li Xiaomeng Fu Xi Wang Jin Liu Xingyu Gao Jiao Dai Jizhong Han 18 3 0 18 Jul 2024
Learning to Unlearn for Robust Machine Unlearning Mark He Huang Lin Geng Foo Jun Liu MU 32 7 0 15 Jul 2024
A Method to Facilitate Membership Inference Attacks in Deep Learning Models Zitao Chen Karthik Pattabiraman MIACV MLAU AAML MIALM 56 1 0 02 Jul 2024