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
Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code Vahid Majdinasab Amin Nikanjam Foutse Khomh 41 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 26 7 0 14 Feb 2024
Discriminative Adversarial Unlearning Rohan Sharma Shijie Zhou Kaiyi Ji Changyou Chen MU 30 1 0 10 Feb 2024
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning Gongxi Zhu Donghao Li Hanlin Gu Yuxing Han Yuan Yao Lixin Fan 47 2 0 09 Feb 2024
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss Zhenlong Liu Lei Feng Huiping Zhuang Xiaofeng Cao Hongxin Wei 32 2 0 08 Feb 2024
Security and Privacy Challenges of Large Language Models: A Survey B. Das M. H. Amini Yanzhao Wu PILM ELM 26 108 0 30 Jan 2024
Decentralized Federated Learning: A Survey on Security and Privacy Ehsan Hallaji R. Razavi-Far M. Saif Boyu Wang Qiang Yang FedML 58 35 0 25 Jan 2024
Inference Attacks Against Face Recognition Model without Classification Layers Yuanqing Huang Huilong Chen Yinggui Wang Lei Wang 42 1 0 24 Jan 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 47 3 0 22 Jan 2024
Federated Unlearning for Human Activity Recognition Kongyang Chen Dongping Zhang Yaping Chai Weibin Zhang Shaowei Wang Jiaxing Shen MU 37 24 0 17 Jan 2024
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation Timur Sattarov Marco Schreyer Damian Borth FedML DiffM MedIm 25 7 0 11 Jan 2024
Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks Haonan Shi Ouyang Tu An Wang 21 1 0 10 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 38 5 0 02 Jan 2024
Privacy-Preserved Neural Graph Databases Qi Hu Haoran Li Jiaxin Bai Zihao Wang Yangqiu Song 28 2 0 25 Dec 2023
PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning Yuting Ma Yuanzhi Yao Xiaohua Xu FedML 21 5 0 16 Dec 2023
Black-box Membership Inference Attacks against Fine-tuned Diffusion Models Yan Pang Tianhao Wang 30 18 0 13 Dec 2023
Diffence: Fencing Membership Privacy With Diffusion Models Yuefeng Peng Ali Naseh Amir Houmansadr AAML 28 1 0 07 Dec 2023
Low-Cost High-Power Membership Inference Attacks Sajjad Zarifzadeh Philippe Liu Reza Shokri 55 34 0 06 Dec 2023
All Rivers Run to the Sea: Private Learning with Asymmetric Flows Yue Niu Ramy E. Ali Saurav Prakash Salman Avestimehr FedML 38 2 0 05 Dec 2023
DUCK: Distance-based Unlearning via Centroid Kinematics Marco Cotogni Jacopo Bonato Luigi Sabetta Francesco Pelosin Alessandro Nicolosi MU 55 7 0 04 Dec 2023
Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction Shuchi Wu Chuan Ma Kang Wei Xiaogang Xu Ming Ding Yuwen Qian Tao Xiang 15 0 0 01 Dec 2023
MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning Soumya Banerjee Sandip Roy Sayyed Farid Ahamed Devin Quinn Marc Vucovich Dhruv Nandakumar K. Choi Abdul Rahman Edward Bowen Sachin Shetty 40 3 0 28 Nov 2023
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release Jie Fu Qingqing Ye Haibo Hu Zhili Chen Lulu Wang Kuncan Wang Xun Ran 29 14 0 23 Nov 2023
SoK: Memorisation in machine learning Dmitrii Usynin Moritz Knolle Georgios Kaissis 27 1 0 06 Nov 2023
ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach Yuke Hu Jian Lou Jiaqi Liu Wangze Ni Feng Lin Zhan Qin Kui Ren MU 40 12 0 03 Nov 2023
MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training Jiacheng Li Ninghui Li Bruno Ribeiro 32 2 0 02 Nov 2023
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models Minxing Zhang Ning Yu Rui Wen Michael Backes Yang Zhang DiffM 18 18 0 30 Oct 2023
Where have you been? A Study of Privacy Risk for Point-of-Interest Recommendation Kunlin Cai Jinghuai Zhang Zhiqing Hong Will Shand Guang Wang Desheng Zhang Jianfeng Chi Yuan Tian 26 1 0 28 Oct 2023
Fundamental Limits of Membership Inference Attacks on Machine Learning Models Eric Aubinais Elisabeth Gassiat Pablo Piantanida MIACV 50 2 0 20 Oct 2023
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models Boyang Zhang Zheng Li Ziqing Yang Xinlei He Michael Backes Mario Fritz Yang Zhang 42 4 0 19 Oct 2023
Quantifying Privacy Risks of Prompts in Visual Prompt Learning Yixin Wu Rui Wen Michael Backes Pascal Berrang Mathias Humbert Yun Shen Yang Zhang AAML VPVLM 32 8 0 18 Oct 2023
Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning Rui Wen Tianhao Wang Michael Backes Yang Zhang Ahmed Salem AAML 27 10 0 17 Oct 2023
Passive Inference Attacks on Split Learning via Adversarial Regularization Xiaochen Zhu Xinjian Luo Yuncheng Wu Yangfan Jiang Xiaokui Xiao Beng Chin Ooi FedML 32 9 0 16 Oct 2023
A Comprehensive Study of Privacy Risks in Curriculum Learning Joann Qiongna Chen Xinlei He Zheng Li Yang Zhang Zhou Li 54 2 0 16 Oct 2023
Improved Membership Inference Attacks Against Language Classification Models Shlomit Shachor N. Razinkov Abigail Goldsteen 37 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 37 16 0 11 Oct 2023
Secure Decentralized Learning with Blockchain Xiaoxue Zhang Yifan Hua Chen Qian OOD 40 2 0 10 Oct 2023
Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems Yuyuan Li Chaochao Chen Xiaolin Zheng Yizhao Zhang Zhongxuan Han Dan Meng Jun Wang MU 37 21 0 06 Oct 2023
StegGuard: Fingerprinting Self-supervised Pre-trained Encoders via Secrets Embeder and Extractor Xingdong Ren Tianxing Zhang Hanzhou Wu Xinpeng Zhang Yinggui Wang Guangling Sun LLMSV 32 0 0 05 Oct 2023
On Memorization and Privacy Risks of Sharpness Aware Minimization Young In Kim Pratiksha Agrawal J. Royset Rajiv Khanna FedML 38 3 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 21 16 0 30 Sep 2023
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services Hongsheng Hu Shuo Wang Jiamin Chang Haonan Zhong Ruoxi Sun Shuang Hao Haojin Zhu Minhui Xue MU 21 26 0 15 Sep 2023
SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition Systems Guangke Chen Yedi Zhang Fu Song 43 8 0 14 Sep 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 31 10 0 31 Aug 2023
Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs Tianyi Zhao Hui Hu Lu Cheng 35 3 0 25 Aug 2023
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models Dominik Hintersdorf Lukas Struppek Kristian Kersting SILM 33 4 0 18 Aug 2023
Independent Distribution Regularization for Private Graph Embedding Qie Hu Yangqiu Song 21 4 0 16 Aug 2023
White-box Membership Inference Attacks against Diffusion Models Yan Pang Tianhao Wang Xu Kang Mengdi Huai Yang Zhang AAML DiffM 50 22 0 11 Aug 2023
zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training Hao Sun Tonghe Bai Jason Li Hongyang R. Zhang 44 19 0 30 Jul 2023
Recommendation Unlearning via Matrix Correction Jiahao Liu Dongsheng Li Hansu Gu Tun Lu Jiongran Wu Peng Zhang Li Shang Ning Gu MU 28 4 0 29 Jul 2023