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
Unveiling the Unseen: Exploring Whitebox Membership Inference through the Lens of Explainability Chenxi Li Abhinav Kumar Zhen Guo Jie Hou R. Tourani AAML MIACV 24 2 0 01 Jul 2024
Dataset Size Recovery from LoRA Weights Mohammad Salama Jonathan Kahana Eliahu Horwitz Yedid Hoshen 23 5 0 27 Jun 2024
A Survey on Privacy Attacks Against Digital Twin Systems in AI-Robotics Ivan A. Fernandez Subash Neupane Trisha Chakraborty Shaswata Mitra Sudip Mittal Nisha Pillai Jingdao Chen Shahram Rahimi 47 1 0 27 Jun 2024
Fingerprint Membership and Identity Inference Against Generative Adversarial Networks Saverio Cavasin Daniele Mari Simone Milani Mauro Conti AAML 18 3 0 21 Jun 2024
Dye4AI: Assuring Data Boundary on Generative AI Services Shu Wang Kun Sun Yan Zhai 18 1 0 20 Jun 2024
Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou MU AAML 42 2 0 16 Jun 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives Linlin Wang Tianqing Zhu Wanlei Zhou Philip S. Yu 27 1 0 16 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks Hengzhu Liu Ping Xiong Tianqing Zhu Philip S. Yu 27 6 0 10 Jun 2024
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems Zhen Cai Tao Tang Shuo Yu Yunpeng Xiao Feng Xia 22 1 0 07 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 31 2 0 04 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 14 1 0 01 Jun 2024
Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation Maya Anderson Guy Amit Abigail Goldsteen AAML 37 13 0 30 May 2024
GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation Andrey V. Galichin Mikhail Aleksandrovich Pautov Alexey Zhavoronkin Oleg Y. Rogov Ivan V. Oseledets AAML 21 1 0 13 May 2024
Privacy-aware Berrut Approximated Coded Computing for Federated Learning Xavier Martínez Luana Rebeca P. Díaz Redondo M. Fernández-Veiga FedML 16 2 0 02 May 2024
Improving Membership Inference in ASR Model Auditing with Perturbed Loss Features Francisco Teixeira Karla Pizzi R. Olivier A. Abad Bhiksha Raj Isabel Trancoso AAML 27 1 0 02 May 2024
Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning Zhixin Pan Emma Andrews Laura Chang Prabhat Mishra MU 27 1 0 19 Apr 2024
Make Split, not Hijack: Preventing Feature-Space Hijacking Attacks in Split Learning Tanveer Khan Mindaugas Budzys A. Michalas 11 4 0 14 Apr 2024
Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data Jingyu Zhang Marc Marone Tianjian Li Benjamin Van Durme Daniel Khashabi 85 9 0 05 Apr 2024
A Unified Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability Jie Zhu Jirong Zha Ding Li Leye Wang 27 5 0 03 Apr 2024
An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasets J. Katzy R. Popescu A. van Deursen M. Izadi 25 5 0 22 Mar 2024
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures S. V. Dibbo Adam Breuer Juston S. Moore Michael Teti AAML 28 4 0 21 Mar 2024
Ethos: Rectifying Language Models in Orthogonal Parameter Space Lei Gao Yue Niu Tingting Tang A. Avestimehr Murali Annavaram MU 27 10 0 13 Mar 2024
Model Will Tell: Training Membership Inference for Diffusion Models Xiaomeng Fu Xi Wang Qiao Li Jin Liu Jiao Dai Jizhong Han 23 5 0 13 Mar 2024
Towards more accurate and useful data anonymity vulnerability measures Paul Francis David Wagner 20 1 0 11 Mar 2024
Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code Vahid Majdinasab Amin Nikanjam Foutse Khomh 33 8 0 14 Feb 2024
Is my Data in your AI Model? Membership Inference Test with Application to Face Images Daniel DeAlcala Aythami Morales Gonzalo Mancera Julian Fierrez Ruben Tolosana J. Ortega-Garcia CVBM 21 7 0 14 Feb 2024
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss Zhenlong Liu Lei Feng Huiping Zhuang Xiaofeng Cao Hongxin Wei 11 2 0 08 Feb 2024
Privacy and Security Implications of Cloud-Based AI Services : A Survey Alka Luqman Riya Mahesh Anupam Chattopadhyay 17 2 0 31 Jan 2024
ADMIn: Attacks on Dataset, Model and Input. A Threat Model for AI Based Software Vimal Kumar Juliette Mayo Khadija Bahiss 15 2 0 15 Jan 2024
Machine unlearning through fine-grained model parameters perturbation Zhiwei Zuo Zhuo Tang KenLi Li Anwitaman Datta AAML MU 19 0 0 09 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 17 5 0 02 Jan 2024
AIJack: Let's Hijack AI! Security and Privacy Risk Simulator for Machine Learning Hideaki Takahashi SILM 17 2 0 29 Dec 2023
Traces of Memorisation in Large Language Models for Code Ali Al-Kaswan M. Izadi A. van Deursen ELM 31 14 0 18 Dec 2023
Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity Zhihao Zhu Chenwang Wu Rui Fan Yi Yang Defu Lian Enhong Chen AAML 17 0 0 18 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 36 2 0 07 Dec 2023
DUCK: Distance-based Unlearning via Centroid Kinematics Marco Cotogni Jacopo Bonato Luigi Sabetta Francesco Pelosin Alessandro Nicolosi MU 36 7 0 04 Dec 2023
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation Ali Abbasi Chayne Thrash Elaheh Akbari Daniel Zhang Soheil Kolouri MU 18 3 0 21 Nov 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 51 3 0 20 Nov 2023
Transpose Attack: Stealing Datasets with Bidirectional Training Guy Amit Mosh Levy Yisroel Mirsky SILM AAML 18 0 0 13 Nov 2023
Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination Luis-Daniel Ibánez J. Domingue Sabrina Kirrane O. Seneviratne Aisling Third Maria-Esther Vidal 15 2 0 30 Oct 2023
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models Matthieu Meeus Shubham Jain Marek Rei Yves-Alexandre de Montjoye MIALM 13 29 0 23 Oct 2023
Dynamically Weighted Federated k-Means Patrick Holzer Tania Jacob Shubham Kavane FedML 9 1 0 23 Oct 2023
Fundamental Limits of Membership Inference Attacks on Machine Learning Models Eric Aubinais Elisabeth Gassiat Pablo Piantanida MIACV 40 2 0 20 Oct 2023
Histopathological Image Classification and Vulnerability Analysis using Federated Learning Sankalp Vyas Amar Nath Patra R. Shukla 17 3 0 11 Oct 2023
Improved Membership Inference Attacks Against Language Classification Models Shlomit Shachor N. Razinkov Abigail Goldsteen 29 5 0 11 Oct 2023
No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML Ziqi Zhang Chen Gong Yifeng Cai Yuanyuan Yuan Bingyan Liu Ding Li Yao Guo Xiangqun Chen FedML 16 16 0 11 Oct 2023
A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning Padmaksha Roy Jaganmohan Chandrasekaran Erin Lanus Laura J. Freeman Jeremy Werner 10 3 0 06 Oct 2023
How Much Training Data is Memorized in Overparameterized Autoencoders? An Inverse Problem Perspective on Memorization Evaluation Koren Abitbul Yehuda Dar TDI 10 2 0 04 Oct 2023
On Memorization and Privacy Risks of Sharpness Aware Minimization Young In Kim Pratiksha Agrawal J. Royset Rajiv Khanna FedML 20 1 0 30 Sep 2023
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning Hongsheng Hu Xuyun Zhang Z. Salcic Lichao Sun K. Choo Gillian Dobbie 11 16 0 30 Sep 2023