Exploiting Unintended Feature Leakage in Collaborative Learning

10 May 2018

Luca Melis

Congzheng Song

Emiliano De Cristofaro

Vitaly Shmatikov

FedML

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Papers citing "Exploiting Unintended Feature Leakage in Collaborative Learning"

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Title
FedDef: Defense Against Gradient Leakage in Federated Learning-based Network Intrusion Detection Systems Jiahui Chen Yi Zhao Qi Li Xuewei Feng Ke Xu AAML FedML 25 13 0 08 Oct 2022
Recycling Scraps: Improving Private Learning by Leveraging Intermediate Checkpoints Virat Shejwalkar Arun Ganesh Rajiv Mathews Om Thakkar Abhradeep Thakurta 13 0 0 04 Oct 2022
TabLeak: Tabular Data Leakage in Federated Learning Mark Vero Mislav Balunović Dimitar I. Dimitrov Martin Vechev FedML 16 7 0 04 Oct 2022
Federated Graph-based Networks with Shared Embedding Tianyi Yu Pei-Ci Lai Fei Teng FedML 24 3 0 03 Oct 2022
pMPL: A Robust Multi-Party Learning Framework with a Privileged Party Lushan Song Jiaxuan Wang Zhexuan Wang Xinyu Tu Guopeng Lin Wenqiang Ruan Haoqi Wu Wei Han 11 18 0 02 Oct 2022
Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning Reza Nasirigerdeh Javad Torkzadehmahani Daniel Rueckert Georgios Kaissis 6 1 0 30 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
Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information Kiwan Maeng Chuan Guo Sanjay Kariyappa Ed Suh FedML 14 6 0 21 Sep 2022
Federated Coordinate Descent for Privacy-Preserving Multiparty Linear Regression Xinlin Leng Chenxu Li Weifeng Xu Yuyan Sun Hongtao Wang FedML 19 1 0 16 Sep 2022
M^4I: Multi-modal Models Membership Inference Pingyi Hu Zihan Wang Ruoxi Sun Hu Wang Minhui Xue 37 26 0 15 Sep 2022
Private Read Update Write (PRUW) in Federated Submodel Learning (FSL): Communication Efficient Schemes With and Without Sparsification Sajani Vithana S. Ulukus FedML 13 19 0 09 Sep 2022
Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions Chulin Xie Zhong Cao Yunhui Long Diange Yang Ding Zhao Bo-wen Li 11 4 0 08 Sep 2022
Cerberus: Exploring Federated Prediction of Security Events Mohammad Naseri Yufei Han Enrico Mariconti Yun Shen Gianluca Stringhini Emiliano De Cristofaro FedML 39 14 0 07 Sep 2022
Orchestrating Collaborative Cybersecurity: A Secure Framework for Distributed Privacy-Preserving Threat Intelligence Sharing J. Troncoso-Pastoriza Alain Mermoud Romain Bouyé Francesco Marino Jean-Philippe Bossuat Vincent Lenders Jean-Pierre Hubaux 18 3 0 06 Sep 2022
Group Property Inference Attacks Against Graph Neural Networks Xiuling Wang Wendy Hui Wang AAML 27 30 0 02 Sep 2022
Membership Inference Attacks by Exploiting Loss Trajectory Yiyong Liu Zhengyu Zhao Michael Backes Yang Zhang 11 98 0 31 Aug 2022
SNAP: Efficient Extraction of Private Properties with Poisoning Harsh Chaudhari John Abascal Alina Oprea Matthew Jagielski Florian Tramèr Jonathan R. Ullman MIACV 26 30 0 25 Aug 2022
FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning Haodong Zhao Wei Du Fang Li Peixuan Li Gongshen Liu FedML 27 65 0 25 Aug 2022
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models Xinlei He Zheng Li Weilin Xu Cory Cornelius Yang Zhang MIACV 16 24 0 22 Aug 2022
Machine Learning with Confidential Computing: A Systematization of Knowledge Fan Mo Zahra Tarkhani Hamed Haddadi 27 8 0 22 Aug 2022
Inferring Sensitive Attributes from Model Explanations Vasisht Duddu A. Boutet MIACV SILM 15 16 0 21 Aug 2022
Shielding Federated Learning Systems against Inference Attacks with ARM TrustZone Aghiles Ait Messaoud Sonia Ben Mokhtar Vlad Nitu V. Schiavoni FedML 6 16 0 11 Aug 2022
Towards Energy-Aware Federated Learning on Battery-Powered Clients Amna Arouj A. Abdelmoniem 30 26 0 09 Aug 2022
Quantization enabled Privacy Protection in Decentralized Stochastic Optimization Yongqiang Wang Tamer Basar 12 44 0 07 Aug 2022
Verifiable Encodings for Secure Homomorphic Analytics Sylvain Chatel Christian Knabenhans Apostolos Pyrgelis Carmela Troncoso Jean-Pierre Hubaux 19 19 0 28 Jul 2022
Privacy-Preserving Federated Recurrent Neural Networks Sinem Sav Abdulrahman Diaa Apostolos Pyrgelis Jean-Philippe Bossuat Jean-Pierre Hubaux 6 7 0 28 Jul 2022
Reconciling Security and Communication Efficiency in Federated Learning Karthik Prasad Sayan Ghosh Graham Cormode Ilya Mironov Ashkan Yousefpour Pierre Stock FedML 24 8 0 26 Jul 2022
Technical Report: Assisting Backdoor Federated Learning with Whole Population Knowledge Alignment Tian Liu Xueyang Hu Tao Shu AAML FedML 14 6 0 25 Jul 2022
FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data Wen-Hsuan Chu Chulin Xie Boxin Wang Linyi Li Lang Yin Arash Nourian Hantong Zhao Bo-wen Li FedML 19 12 0 21 Jul 2022
Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond Yuzheng Hu Tianle Cai Jinyong Shan Shange Tang Chaochao Cai Ethan Song Bo-wen Li D. Song FedML AAML 22 9 0 19 Jul 2022
Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices Mingbin Xu Congzheng Song Ye Tian Neha Agrawal Filip Granqvist ... Shiyi Han Yaqiao Deng Leo Liu Anmol Walia Alex Jin FedML 13 22 0 18 Jul 2022
FLAIR: Federated Learning Annotated Image Repository Congzheng Song Filip Granqvist Kunal Talwar FedML 16 27 0 18 Jul 2022
Protecting Global Properties of Datasets with Distribution Privacy Mechanisms Michelle Chen O. Ohrimenko FedML 19 12 0 18 Jul 2022
Towards Privacy-Preserving Person Re-identification via Person Identify Shift Shuguang Dou Xinyang Jiang Qingsong Zhao Dongsheng Li Cairong Zhao 8 8 0 15 Jul 2022
Enhanced Security and Privacy via Fragmented Federated Learning N. Jebreel J. Domingo-Ferrer Alberto Blanco-Justicia David Sánchez FedML 13 26 0 13 Jul 2022
Federated Unlearning: How to Efficiently Erase a Client in FL? Anisa Halimi S. Kadhe Ambrish Rawat Nathalie Baracaldo MU 17 120 0 12 Jul 2022
Federated Learning with Quantum Secure Aggregation Yichi Zhang Chao Zhang Cai Zhang Lixin Fan B. Zeng Qiang Yang FedML 11 23 0 09 Jul 2022
The Poisson binomial mechanism for secure and private federated learning Wei-Ning Chen Ayfer Özgür Peter Kairouz FedML 11 2 0 09 Jul 2022
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms Ehsan Hallaji R. Razavi-Far M. Saif AAML FedML 17 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
APPFLChain: A Privacy Protection Distributed Artificial-Intelligence Architecture Based on Federated Learning and Consortium Blockchain Jun-Teng Yang Wen-Yuan Chen Che-Hua Li S. Huang Hsiao-Chun Wu 11 2 0 26 Jun 2022
Data Leakage in Federated Averaging Dimitar I. Dimitrov Mislav Balunović Nikola Konstantinov Martin Vechev FedML 14 28 0 24 Jun 2022
zPROBE: Zero Peek Robustness Checks for Federated Learning Zahra Ghodsi Mojan Javaheripi Nojan Sheybani Xinqiao Zhang Ke Huang F. Koushanfar FedML 34 17 0 24 Jun 2022
FLaaS: Cross-App On-device Federated Learning in Mobile Environments Kleomenis Katevas Diego Perino N. Kourtellis FedML 17 1 0 22 Jun 2022
Reconstructing Training Data from Trained Neural Networks Niv Haim Gal Vardi Gilad Yehudai Ohad Shamir Michal Irani 27 132 0 15 Jun 2022
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks Nuo Xu Binghui Wang Ran Ran Wujie Wen Parv Venkitasubramaniam AAML 11 5 0 11 Jun 2022
Hierarchical Federated Learning with Privacy Varun Chandrasekaran Suman Banerjee Diego Perino N. Kourtellis FedML 27 7 0 10 Jun 2022
Gradient Obfuscation Gives a False Sense of Security in Federated Learning Kai Yue Richeng Jin Chau-Wai Wong D. Baron H. Dai FedML 26 46 0 08 Jun 2022
Rate Distortion Tradeoff in Private Read Update Write in Federated Submodel Learning Sajani Vithana S. Ulukus FedML 18 8 0 07 Jun 2022
Towards Practical Differential Privacy in Data Analysis: Understanding the Effect of Epsilon on Utility in Private ERM Yuzhe Li Yong Liu Bo-wen Li Weiping Wang Nannan Liu 11 9 0 06 Jun 2022