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
GAN-based Domain Inference Attack Yuechun Gu Keke Chen 15 11 0 22 Dec 2022
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning A. Salem Giovanni Cherubin David E. Evans Boris Köpf Andrew J. Paverd Anshuman Suri Shruti Tople Santiago Zanella Béguelin 44 35 0 21 Dec 2022
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks Zeyang Sha Xinlei He Pascal Berrang Mathias Humbert Yang Zhang AAML 13 33 0 18 Dec 2022
Membership Inference Attacks Against Latent Factor Model Dazhi Hu AAML 22 1 0 15 Dec 2022
Holistic risk assessment of inference attacks in machine learning Yang Yang SILM AAML MIACV 25 2 0 15 Dec 2022
On the Discredibility of Membership Inference Attacks Shahbaz Rezaei Xin Liu 25 2 0 06 Dec 2022
Membership Inference Attacks Against Semantic Segmentation Models Tomás Chobola Dmitrii Usynin Georgios Kaissis MIACV 24 6 0 02 Dec 2022
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores Ziqi Yang Li-Juan Wang D. Yang Jie Wan Ziming Zhao E. Chang Fan Zhang Kui Ren AAML 24 15 0 01 Dec 2022
Similarity Distribution based Membership Inference Attack on Person Re-identification Junyao Gao Xinyang Jiang Huishuai Zhang Yifan Yang Shuguang Dou Dongsheng Li Duoqian Miao Cheng Deng Cairong Zhao 23 7 0 29 Nov 2022
Neural Architecture for Online Ensemble Continual Learning Mateusz Wójcik Witold Ko'sciukiewicz Tomasz Kajdanowicz Adam Gonczarek CLL 15 1 0 27 Nov 2022
Data Origin Inference in Machine Learning Mingxue Xu Xiang-Yang Li 25 3 0 24 Nov 2022
Privacy in Practice: Private COVID-19 Detection in X-Ray Images (Extended Version) Lucas Lange Maja Schneider Peter Christen Erhard Rahm 16 7 0 21 Nov 2022
Directional Privacy for Deep Learning Pedro Faustini Natasha Fernandes Shakila Mahjabin Tonni Annabelle McIver Mark Dras 14 1 0 09 Nov 2022
Unintended Memorization and Timing Attacks in Named Entity Recognition Models Rana Salal Ali Benjamin Zi Hao Zhao Hassan Jameel Asghar Tham Nguyen Ian D. Wood Dali Kaafar AAML 16 3 0 04 Nov 2022
GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs) E. Jefferson J. Liley Maeve Malone S. Reel Alba Crespi-Boixader ... Christian Cole F. Ritchie A. Daly Simon Rogers Jim Q. Smith 24 7 0 03 Nov 2022
User-Entity Differential Privacy in Learning Natural Language Models Phung Lai Nhathai Phan Tong Sun R. Jain Franck Dernoncourt Jiuxiang Gu Nikolaos Barmpalios FedML 23 0 0 01 Nov 2022
Amplifying Membership Exposure via Data Poisoning Yufei Chen Chao Shen Yun Shen Cong Wang Yang Zhang AAML 43 27 0 01 Nov 2022
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models Mauro Conti Jiaxin Li S. Picek MIALM 32 2 0 28 Oct 2022
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano Chuan Guo Alexandre Sablayrolles Maziar Sanjabi FedML 21 17 0 24 Oct 2022
New data poison attacks on machine learning classifiers for mobile exfiltration M. A. Ramírez Sangyoung Yoon Ernesto Damiani H. A. Hamadi C. Ardagna Nicola Bena Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 22 4 0 20 Oct 2022
How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers Guangsheng Zhang B. Liu Huan Tian Tianqing Zhu Ming Ding Wanlei Zhou PILM MIACV 12 5 0 20 Oct 2022
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries Yuxin Wen Arpit Bansal Hamid Kazemi Eitan Borgnia Micah Goldblum Jonas Geiping Tom Goldstein MIACV 31 30 0 19 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 54 4 0 19 Oct 2022
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information Pan Li Peizhuo Lv Shenchen Zhu Ruigang Liang Kai Chen AAML MU 14 0 0 17 Oct 2022
Membership Inference Attacks Against Text-to-image Generation Models Yixin Wu Ning Yu Zheng Li Michael Backes Yang Zhang DiffM 19 65 0 03 Oct 2022
No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy" Nicholas Carlini Vitaly Feldman Milad Nasr DD 45 17 0 29 Sep 2022
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models Sohaib Ahmad Benjamin Fuller Kaleel Mahmood AAML 14 0 0 22 Sep 2022
Membership Inference Attacks and Generalization: A Causal Perspective Teodora Baluta Shiqi Shen S. Hitarth Shruti Tople Prateek Saxena OOD MIACV 40 18 0 18 Sep 2022
Distribution inference risks: Identifying and mitigating sources of leakage Valentin Hartmann Léo Meynent Maxime Peyrard Dimitrios Dimitriadis Shruti Tople Robert West MIACV 29 14 0 18 Sep 2022
Does CLIP Know My Face? Dominik Hintersdorf Lukas Struppek Manuel Brack Felix Friedrich P. Schramowski Kristian Kersting VLM 15 9 0 15 Sep 2022
M^4I: Multi-modal Models Membership Inference Pingyi Hu Zihan Wang Ruoxi Sun Hu Wang Minhui Xue 39 26 0 15 Sep 2022
On the utility and protection of optimization with differential privacy and classic regularization techniques Eugenio Lomurno Matteo matteucci 18 9 0 07 Sep 2022
On the Privacy Risks of Cell-Based NAS Architectures Haiping Huang Zhikun Zhang Yun Shen Michael Backes Qi Li Yang Zhang 27 7 0 04 Sep 2022
Data Provenance via Differential Auditing Xin Mu Ming Pang Feida Zhu 11 1 0 04 Sep 2022
Membership Inference Attacks by Exploiting Loss Trajectory Yiyong Liu Zhengyu Zhao Michael Backes Yang Zhang 18 98 0 31 Aug 2022
Auditing Membership Leakages of Multi-Exit Networks Zheng Li Yiyong Liu Xinlei He Ning Yu Michael Backes Yang Zhang AAML 22 32 0 23 Aug 2022
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models Xinlei He Zheng Li Weilin Xu Cory Cornelius Yang Zhang MIACV 30 24 0 22 Aug 2022
On the Privacy Effect of Data Enhancement via the Lens of Memorization Xiao-Li Li Qiongxiu Li Zhan Hu Xiaolin Hu 29 13 0 17 Aug 2022
Label-Only Membership Inference Attack against Node-Level Graph Neural Networks Mauro Conti Jiaxin Li S. Picek Jing Xu AAML 14 23 0 27 Jul 2022
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning Xinlei He Hongbin Liu Neil Zhenqiang Gong Yang Zhang AAML MIACV 15 14 0 25 Jul 2022
Combing for Credentials: Active Pattern Extraction from Smart Reply Bargav Jayaraman Esha Ghosh Melissa Chase Sambuddha Roy Wei Dai David E. Evans SILM 20 8 0 14 Jul 2022
RelaxLoss: Defending Membership Inference Attacks without Losing Utility Dingfan Chen Ning Yu Mario Fritz 20 40 0 12 Jul 2022
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms Ehsan Hallaji R. Razavi-Far M. Saif AAML FedML 21 13 0 05 Jul 2022
Matryoshka: Stealing Functionality of Private ML Data by Hiding Models in Model Xudong Pan Yifan Yan Sheng Zhang Mi Zhang Min Yang 27 1 0 29 Jun 2022
Debiasing Learning for Membership Inference Attacks Against Recommender Systems Zihan Wang Na Huang Fei Sun Pengjie Ren Zhumin Chen Hengliang Luo Maarten de Rijke Z. Ren AAML 33 14 0 24 Jun 2022
Reconstructing Training Data from Trained Neural Networks Niv Haim Gal Vardi Gilad Yehudai Ohad Shamir Michal Irani 40 132 0 15 Jun 2022
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks Nuo Xu Binghui Wang Ran Ran Wujie Wen Parv Venkitasubramaniam AAML 18 5 0 11 Jun 2022
Membership Inference via Backdooring Hongsheng Hu Z. Salcic Gillian Dobbie Jinjun Chen Lichao Sun Xuyun Zhang MIACV 28 30 0 10 Jun 2022
A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning Alberto Blanco-Justicia David Sánchez J. Domingo-Ferrer K. Muralidhar 9 59 0 09 Jun 2022
Privacy Leakage in Text Classification: A Data Extraction Approach Adel M. Elmahdy Huseyin A. Inan Robert Sim 21 13 0 09 Jun 2022