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"

33 / 633 papers shown

Title
Quantification of the Leakage in Federated Learning Zhaorui Li Zhicong Huang Chaochao Chen Cheng Hong FedML PILM 13 22 0 12 Oct 2019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints Felix Sattler K. Müller Wojciech Samek FedML 71 969 0 04 Oct 2019
GAMIN: An Adversarial Approach to Black-Box Model Inversion Ulrich Aïvodji Sébastien Gambs Timon Ther MLAU 25 42 0 26 Sep 2019
Matrix Sketching for Secure Collaborative Machine Learning Mengjiao Zhang Shusen Wang FedML 24 14 0 24 Sep 2019
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples Jinyuan Jia Ahmed Salem Michael Backes Yang Zhang Neil Zhenqiang Gong 22 384 0 23 Sep 2019
CrypTFlow: Secure TensorFlow Inference Nishant Kumar Mayank Rathee Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 99 235 0 16 Sep 2019
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models Dingfan Chen Ning Yu Yang Zhang Mario Fritz 23 52 0 09 Sep 2019
Key Protected Classification for Collaborative Learning Mert Bulent Sariyildiz R. G. Cinbis Erman Ayday 32 10 0 27 Aug 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 72 4,421 0 21 Aug 2019
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges Solmaz Niknam Harpreet S. Dhillon J. H. Reed 27 599 0 30 Jul 2019
A Federated Learning Approach for Mobile Packet Classification Evita Bakopoulou Bálint Tillman A. Markopoulou 21 30 0 30 Jul 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 37 970 0 23 Jul 2019
Towards Characterizing and Limiting Information Exposure in DNN Layers Fan Mo Ali Shahin Shamsabadi Kleomenis Katevas Andrea Cavallaro Hamed Haddadi 11 11 0 13 Jul 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 103 2,286 0 04 Jul 2019
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices Yang Zhao Jun Zhao Linshan Jiang Rui Tan Dusit Niyato Zengxiang Li Lingjuan Lyu Yingbo Liu 19 104 0 26 Jun 2019
Deep Leakage from Gradients Ligeng Zhu Zhijian Liu Song Han FedML 37 2,158 0 21 Jun 2019
Membership Privacy for Machine Learning Models Through Knowledge Transfer Virat Shejwalkar Amir Houmansadr 22 10 0 15 Jun 2019
Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models S. K. Murakonda Reza Shokri George Theodorakopoulos MIACV 14 4 0 29 May 2019
Overlearning Reveals Sensitive Attributes Congzheng Song Vitaly Shmatikov 16 148 0 28 May 2019
Differentially Private Learning with Adaptive Clipping Galen Andrew Om Thakkar H. B. McMahan Swaroop Ramaswamy FedML 30 330 0 09 May 2019
Private Hierarchical Clustering and Efficient Approximation Xianrui Meng D. Papadopoulos Alina Oprea Nikos Triandopoulos FedML 11 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 17 250 0 01 Apr 2019
Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment Ziqi Yang E. Chang Zhenkai Liang MLAU 33 60 0 22 Feb 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 28 2,276 0 13 Feb 2019
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning Jinhyun So Başak Güler A. Avestimehr FedML 19 114 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 14 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 59 1,395 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 13 244 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 28 776 0 03 Dec 2018
Privacy-preserving Machine Learning through Data Obfuscation Tianwei Zhang Zecheng He R. Lee 17 79 0 05 Jul 2018
How To Backdoor Federated Learning Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 13 1,874 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 36 928 0 04 Jun 2018
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 273 13,368 0 25 Aug 2014