Membership Inference Attacks against Machine Learning Models

18 October 2016

Papers citing "Membership Inference Attacks against Machine Learning Models"

50 / 2,058 papers shown

Title
Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning Reza Nasirigerdeh Javad Torkzadehmahani Daniel Rueckert Georgios Kaissis 22 1 0 30 Sep 2022
Differentially Private Optimization on Large Model at Small Cost Zhiqi Bu Yu Wang Sheng Zha George Karypis 45 52 0 30 Sep 2022
Machine Unlearning Method Based On Projection Residual Zihao Cao Jianzong Wang Shijing Si Zhangcheng Huang Jing Xiao MU 77 6 0 30 Sep 2022
Data Poisoning Attacks Against Multimodal Encoders Ziqing Yang Xinlei He Zheng Li Michael Backes Mathias Humbert Pascal Berrang Yang Zhang AAML 127 46 0 30 Sep 2022
No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy" Nicholas Carlini Vitaly Feldman Milad Nasr DD 53 17 0 29 Sep 2022
Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations Vy Vo Trung Le Van Nguyen He Zhao Edwin V. Bonilla Gholamreza Haffari Dinh Q. Phung CML 58 13 0 27 Sep 2022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection Yiming Li Yang Bai Yong Jiang Yong-Liang Yang Shutao Xia Bo Li AAML 59 99 0 27 Sep 2022
Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy Zhifeng Jiang Wei Wang Ruichuan Chen 48 7 0 26 Sep 2022
Algorithms that Approximate Data Removal: New Results and Limitations Vinith Suriyakumar Ashia Wilson MU 49 27 0 25 Sep 2022
The "Beatrix'' Resurrections: Robust Backdoor Detection via Gram Matrices Wanlun Ma Derui Wang Ruoxi Sun Minhui Xue S. Wen Yang Xiang AAML 19 82 0 23 Sep 2022
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models Sohaib Ahmad Benjamin Fuller Kaleel Mahmood AAML 27 0 0 22 Sep 2022
Understanding Information Disclosure from Secure Computation Output: A Study of Average Salary Computation Alessandro N. Baccarini Marina Blanton Shaofeng Zou 11 3 0 21 Sep 2022
A Comprehensive Survey on Trustworthy Recommender Systems Wenqi Fan Xiangyu Zhao Xiao Chen Jingran Su Jingtong Gao ... Qidong Liu Yiqi Wang Hanfeng Xu Lei Chen Qing Li FaML 48 46 0 21 Sep 2022
Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis Lukas Struppek Dominik Hintersdorf Felix Friedrich Manuel Brack P. Schramowski Kristian Kersting 78 28 0 19 Sep 2022
Membership Inference Attacks and Generalization: A Causal Perspective Teodora Baluta Shiqi Shen S. Hitarth Shruti Tople Prateek Saxena OOD MIACV 47 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 31 14 0 18 Sep 2022
Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey Xiaodan Xing Huanjun Wu Lichao Wang Iain Stenson M. Yong Javier Del Ser Simon Walsh Guang Yang 37 7 0 17 Sep 2022
Model Inversion Attacks against Graph Neural Networks Zaixin Zhang Qi Liu Zhenya Huang Hao Wang Cheekong Lee Enhong AAML 28 35 0 16 Sep 2022
Private Stochastic Optimization With Large Worst-Case Lipschitz Parameter: Optimal Rates for (Non-Smooth) Convex Losses and Extension to Non-Convex Losses Andrew Lowy Meisam Razaviyayn 35 13 0 15 Sep 2022
Does CLIP Know My Face? Dominik Hintersdorf Lukas Struppek Manuel Brack Felix Friedrich P. Schramowski Kristian Kersting VLM 26 9 0 15 Sep 2022
M^4I: Multi-modal Models Membership Inference Pingyi Hu Zihan Wang Ruoxi Sun Hu Wang Minhui Xue 44 26 0 15 Sep 2022
Data Privacy and Trustworthy Machine Learning Martin Strobel Reza Shokri SILM FaML 31 25 0 14 Sep 2022
SEEK: model extraction attack against hybrid secure inference protocols Si-Quan Chen Junfeng Fan MIACV 16 2 0 14 Sep 2022
Secure Shapley Value for Cross-Silo Federated Learning (Technical Report) Shuyuan Zheng Yang Cao Masatoshi Yoshikawa FedML 72 24 0 11 Sep 2022
Private Read Update Write (PRUW) in Federated Submodel Learning (FSL): Communication Efficient Schemes With and Without Sparsification Sajani Vithana S. Ulukus FedML 25 19 0 09 Sep 2022
Differentially Private Stochastic Gradient Descent with Low-Noise Puyu Wang Yunwen Lei Yiming Ying Ding-Xuan Zhou FedML 56 5 0 09 Sep 2022
Robust and Lossless Fingerprinting of Deep Neural Networks via Pooled Membership Inference Hanzhou Wu 34 2 0 09 Sep 2022
Algorithms with More Granular Differential Privacy Guarantees Badih Ghazi Ravi Kumar Pasin Manurangsi Thomas Steinke 69 6 0 08 Sep 2022
Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions Chulin Xie Zhong Cao Yunhui Long Diange Yang Ding Zhao Yue Liu 21 4 0 08 Sep 2022
Black-Box Audits for Group Distribution Shifts Marc Juárez Samuel Yeom Matt Fredrikson MLAU 27 4 0 08 Sep 2022
Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots Waiman Si Michael Backes Jeremy Blackburn Emiliano De Cristofaro Gianluca Stringhini Savvas Zannettou Yang Zhang 41 59 0 07 Sep 2022
On the utility and protection of optimization with differential privacy and classic regularization techniques Eugenio Lomurno Matteo matteucci 43 9 0 07 Sep 2022
How Much User Context Do We Need? Privacy by Design in Mental Health NLP Application Ramit Sawhney A. Neerkaje Ivan Habernal Lucie Flek 31 3 0 05 Sep 2022
On the Privacy Risks of Cell-Based NAS Architectures Haiping Huang Zhikun Zhang Yun Shen Michael Backes Qi Li Yang Zhang 35 7 0 04 Sep 2022
Joint Linear and Nonlinear Computation across Functions for Efficient Privacy-Preserving Neural Network Inference Qiao Zhang Tao Xiang Chunsheng Xin Biwen Chen Hongyi Wu 39 1 0 04 Sep 2022
Data Provenance via Differential Auditing Xin Mu Ming Pang Feida Zhu 19 1 0 04 Sep 2022
Are Attribute Inference Attacks Just Imputation? Bargav Jayaraman David Evans TDI MIACV 42 47 0 02 Sep 2022
Group Property Inference Attacks Against Graph Neural Networks Xiuling Wang Wendy Hui Wang AAML 29 31 0 02 Sep 2022
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction Julien Ferry Ulrich Aïvodji Sébastien Gambs Marie-José Huguet Mohamed Siala AAML 42 14 0 02 Sep 2022
Membership Inference Attacks by Exploiting Loss Trajectory Yiyong Liu Zhengyu Zhao Michael Backes Yang Zhang 27 99 0 31 Aug 2022
Data Isotopes for Data Provenance in DNNs Emily Wenger Xiuyu Li Ben Y. Zhao Vitaly Shmatikov 25 12 0 29 Aug 2022
DiVa: An Accelerator for Differentially Private Machine Learning Beom-Joo Park Ranggi Hwang Dongho Yoon Yoonhyuk Choi Minsoo Rhu 27 9 0 26 Aug 2022
SNAP: Efficient Extraction of Private Properties with Poisoning Harsh Chaudhari John Abascal Alina Oprea Matthew Jagielski Florian Tramèr Jonathan R. Ullman MIACV 44 30 0 25 Aug 2022
Auditing Membership Leakages of Multi-Exit Networks Zheng Li Yiyong Liu Xinlei He Ning Yu Michael Backes Yang Zhang AAML 30 32 0 23 Aug 2022
A Platform-Free Proof of Federated Learning Consensus Mechanism for Sustainable Blockchains Yuntao Wang Hai-xia Peng Zhou Su Tom H. Luan A. Benslimane Yuan Wu 58 57 0 23 Aug 2022
Evaluating Machine Unlearning via Epistemic Uncertainty Alexander Becker Thomas Liebig UD ELM MU 32 34 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 38 24 0 22 Aug 2022
Machine Learning with Confidential Computing: A Systematization of Knowledge Fan Mo Zahra Tarkhani Hamed Haddadi 50 9 0 22 Aug 2022
A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy Ritesh Ahuja Sepanta Zeighami Gabriel Ghinita Cyrus Shahabi 26 12 0 20 Aug 2022
A Joint Framework to Privacy-Preserving Edge Intelligence in Vehicular Networks Muhammad Firdaus Kyung-Hyune Rhee 12 7 0 18 Aug 2022