Exploiting Unintended Feature Leakage in Collaborative Learning

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Exploiting Unintended Feature Leakage in Collaborative Learning

10 May 2018

Emiliano De Cristofaro

Vitaly Shmatikov

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Papers citing "Exploiting Unintended Feature Leakage in Collaborative Learning"

16 / 666 papers shown

Title
Membership Privacy for Machine Learning Models Through Knowledge Transfer Virat Shejwalkar Amir Houmansadr 148 12 0 15 Jun 2019
Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models S. K. Murakonda Reza Shokri George Theodorakopoulos MIACV 100 4 0 29 May 2019
Overlearning Reveals Sensitive AttributesInternational Conference on Learning Representations (ICLR), 2019 Congzheng Song Vitaly Shmatikov 247 170 0 28 May 2019
Differentially Private Learning with Adaptive ClippingNeural Information Processing Systems (NeurIPS), 2019 Galen Andrew Om Thakkar H. B. McMahan Swaroop Ramaswamy FedML 348 384 0 09 May 2019
Private Hierarchical Clustering and Efficient Approximation Xianrui Meng D. Papadopoulos Alina Oprea Nikos Triandopoulos FedML 149 0 0 09 Apr 2019
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning A. Salem Apratim Bhattacharyya Michael Backes Mario Fritz Yang Zhang FedML AAML MIACV 228 277 0 01 Apr 2019
Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment Ziqi Yang E. Chang Zhenkai Liang MLAU 142 66 0 22 Feb 2019
Federated Machine Learning: Concept and ApplicationsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2019 Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 175 2,626 0 13 Feb 2019
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine LearningIEEE Journal on Selected Areas in Information Theory (JSAIT), 2019 Jinhyun So Başak Güler A. Avestimehr FedML 230 124 0 02 Feb 2019
Interpretable Complex-Valued Neural Networks for Privacy Protection Liyao Xiang Haotian Ma Hao Zhang Yifan Zhang Jie Ren Quanshi Zhang AAML 163 32 0 28 Jan 2019
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 443 1,594 0 03 Dec 2018
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning Milad Nasr Reza Shokri Amir Houmansadr FedML MIACV AAML 184 271 0 03 Dec 2018
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning Peng Kuang Mengkai Song Zhifei Zhang Yang Song Qian Wang Hairong Qi FedML 346 860 0 03 Dec 2018
Privacy-preserving Machine Learning through Data Obfuscation Tianwei Zhang Zecheng He R. Lee 198 85 0 05 Jul 2018
How To Backdoor Federated LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2018 Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 461 2,212 0 02 Jul 2018
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models A. Salem Yang Zhang Mathias Humbert Pascal Berrang Mario Fritz Michael Backes MIACV MIALM 411 1,049 0 04 Jun 2018