v1v2v3 (latest)

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"

50 / 666 papers shown

Title
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated LearningACM Transactions on Knowledge Discovery from Data (TKDD), 2020 Xinjian Luo Xiangqi Zhu FedML 578 29 0 27 Apr 2020
Enhancing Privacy via Hierarchical Federated Learning A. Wainakh Alejandro Sánchez Guinea Tim Grube M. Mühlhäuser FedML 108 54 0 23 Apr 2020
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning Wenqi Wei Ling Liu Margaret Loper Ka-Ho Chow Mehmet Emre Gursoy Stacey Truex Yanzhao Wu FedML 203 159 0 22 Apr 2020
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution EnvironmentsACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services (MobiSys), 2020 Fan Mo Ali Shahin Shamsabadi Kleomenis Katevas Soteris Demetriou Ilias Leontiadis Andrea Cavallaro Hamed Haddadi FedML 143 207 0 12 Apr 2020
PrivEdge: From Local to Distributed Private Training and PredictionIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2020 Ali Shahin Shamsabadi Adria Gascon Hamed Haddadi Andrea Cavallaro 101 19 0 12 Apr 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies David Enthoven Zaid Al-Ars FedML 141 59 0 01 Apr 2020
Information Leakage in Embedding ModelsConference on Computer and Communications Security (CCS), 2020 Congzheng Song A. Raghunathan MIACV 349 315 0 31 Mar 2020
Inverting Gradients -- How easy is it to break privacy in federated learning?Neural Information Processing Systems (NeurIPS), 2020 Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 491 1,450 0 31 Mar 2020
Systematic Evaluation of Privacy Risks of Machine Learning ModelsUSENIX Security Symposium (USENIX Security), 2020 Liwei Song Prateek Mittal MIACV 595 442 0 24 Mar 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 332 365 0 19 Mar 2020
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training?ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2020 Sharif Abuadbba Kyuyeon Kim Minki Kim Chandra Thapa S. Çamtepe Yansong Gao Hyoungshick Kim Surya Nepal FedML 155 138 0 16 Mar 2020
Dynamic Backdoor Attacks Against Machine Learning ModelsEuropean Symposium on Security and Privacy (EuroS&P), 2020 A. Salem Rui Wen Michael Backes Shiqing Ma Yang Zhang AAML 262 302 0 07 Mar 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 470 500 0 04 Mar 2020
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization Kang Wei Jun Li Ming Ding Chuan Ma Hang Su Bo Zhang H. Vincent Poor FedML 111 11 0 29 Feb 2020
PrivacyFL: A simulator for privacy-preserving and secure federated learningInternational Conference on Information and Knowledge Management (CIKM), 2020 Vaikkunth Mugunthan Anton Peraire-Bueno Lalana Kagal FedML 117 66 0 19 Feb 2020
Wireless Federated Learning with Local Differential PrivacyInternational Symposium on Information Theory (ISIT), 2020 Mohamed Seif Ravi Tandon Ming Li 187 191 0 12 Feb 2020
Salvaging Federated Learning by Local Adaptation Tao Yu Eugene Bagdasaryan Vitaly Shmatikov FedML 221 298 0 12 Feb 2020
On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research AgendaIEEE Access (IEEE Access), 2020 Konstantin D. Pandl Scott Thiebes Manuel Schmidt-Kraepelin Ali Sunyaev 220 85 0 29 Jan 2020
Privacy for All: Demystify Vulnerability Disparity of Differential Privacy against Membership Inference Attack Bo Zhang Ruotong Yu Haipei Sun Yanying Li Jun Xu Wendy Hui Wang AAML 105 14 0 24 Jan 2020
iDLG: Improved Deep Leakage from Gradients Bo Zhao Konda Reddy Mopuri Hakan Bilen FedML 403 758 0 08 Jan 2020
Attack-Resistant Federated Learning with Residual-based Reweighting Shuhao Fu Chulin Xie Yue Liu Qifeng Chen FedML AAML 192 101 0 24 Dec 2019
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer Hong Chang Virat Shejwalkar Reza Shokri Amir Houmansadr FedML 203 187 0 24 Dec 2019
Learning to Prevent Leakage: Privacy-Preserving Inference in the Mobile Cloud Shuang Zhang Liyao Xiang Congcong Li Yixuan Wang Quanshi Zhang Zeyu Liu Yue Liu FedML 124 1 0 18 Dec 2019
Asynchronous Federated Learning with Differential Privacy for Edge Intelligence Yanan Li Shusen Yang Xuebin Ren Cong Zhao FedML 146 40 0 17 Dec 2019
Efficient Per-Example Gradient Computations in Convolutional Neural Networks G. Rochette Andre Manoel Eric W. Tramel 156 20 0 12 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 503 7,300 0 10 Dec 2019
Local Model Poisoning Attacks to Byzantine-Robust Federated LearningUSENIX Security Symposium (USENIX Security), 2019 Minghong Fang Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML OOD FedML 435 1,345 0 26 Nov 2019
Effects of Differential Privacy and Data Skewness on Membership Inference VulnerabilityInternational Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2019 Stacey Truex Ling Liu Mehmet Emre Gursoy Wenqi Wei Lei Yu MIACV 118 54 0 21 Nov 2019
Theoretical Guarantees for Model Auditing with Finite Adversaries Mario Díaz Peter Kairouz Jiachun Liao Lalitha Sankar MLAU AAML 119 2 0 08 Nov 2019
Secure Federated Submodel Learning Chaoyue Niu Fan Wu Shaojie Tang Lifeng Hua Rongfei Jia Chengfei Lv Zhihua Wu Guihai Chen FedML 156 32 0 06 Nov 2019
RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks Tianhao Wang Florian Kerschbaum AAML 255 39 0 31 Oct 2019
Communication-Efficient Local Decentralized SGD Methods Xiang Li Wenhao Yang Shusen Wang Zhihua Zhang 189 54 0 21 Oct 2019
Eavesdrop the Composition Proportion of Training Labels in Federated Learning Lixu Wang Shichao Xu Tianlin Li Qi Zhu FedML 211 68 0 14 Oct 2019
A blockchain-orchestrated Federated Learning architecture for healthcare consortia Jonathan Passerat-Palmbach Tyler Farnan Robert C Miller M. Gross H. Flannery Bill Gleim FedML 76 57 0 12 Oct 2019
Quantification of the Leakage in Federated Learning Zhaorui Li Zhicong Huang Chaochao Chen Cheng Hong FedML PILM 157 23 0 12 Oct 2019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy ConstraintsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019 Felix Sattler K. Müller Wojciech Samek FedML 400 1,215 0 04 Oct 2019
GAMIN: An Adversarial Approach to Black-Box Model Inversion Ulrich Aïvodji Sébastien Gambs Timon Ther MLAU 152 46 0 26 Sep 2019
Matrix Sketching for Secure Collaborative Machine LearningInternational Conference on Machine Learning (ICML), 2019 Mengjiao Zhang Shusen Wang FedML 211 16 0 24 Sep 2019
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial ExamplesConference on Computer and Communications Security (CCS), 2019 Jinyuan Jia Ahmed Salem Michael Backes Yang Zhang Neil Zhenqiang Gong 249 431 0 23 Sep 2019
CrypTFlow: Secure TensorFlow InferenceIEEE Symposium on Security and Privacy (IEEE S&P), 2019 Nishant Kumar Mayank Rathee Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 244 260 0 16 Sep 2019
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models Dingfan Chen Ning Yu Yang Zhang Mario Fritz 180 52 0 09 Sep 2019
Key Protected Classification for Collaborative LearningPattern Recognition (Pattern Recognit.), 2019 Mert Bulent Sariyildiz R. G. Cinbis Erman Ayday 135 11 0 27 Aug 2019
Federated Learning: Challenges, Methods, and Future DirectionsIEEE Signal Processing Magazine (IEEE SPM), 2019 Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 955 5,259 0 21 Aug 2019
Federated Learning for Wireless Communications: Motivation, Opportunities and ChallengesIEEE Communications Magazine (IEEE Commun. Mag.), 2019 Solmaz Niknam Harpreet S. Dhillon J. H. Reed 338 663 0 30 Jul 2019
A Federated Learning Approach for Mobile Packet Classification Evita Bakopoulou Bálint Tillman A. Markopoulou 117 31 0 30 Jul 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and ProtectionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 402 1,224 0 23 Jul 2019
Towards Characterizing and Limiting Information Exposure in DNN LayersConference on Computer and Communications Security (CCS), 2019 Fan Mo Ali Shahin Shamsabadi Kleomenis Katevas Andrea Cavallaro Hamed Haddadi 86 12 0 13 Jul 2019
On the Convergence of FedAvg on Non-IID DataInternational Conference on Learning Representations (ICLR), 2019 Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 514 2,680 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 200 109 0 26 Jun 2019
Deep Leakage from GradientsNeural Information Processing Systems (NeurIPS), 2019 Ligeng Zhu Zhijian Liu Song Han FedML 428 2,557 0 21 Jun 2019