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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
RingFed: Reducing Communication Costs in Federated Learning on Non-IID Data Guang Yang Ke Mu Chunhe Song Zhijia Yang Tierui Gong FedML 51 17 0 19 Jul 2021
This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces Ryan Webster Julien Rabin Loïc Simon F. Jurie CVBM PICV 144 34 0 13 Jul 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 220 83 0 04 Jul 2021
Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates Zhuohang Li Luyang Liu Jiaxin Zhang Jian-Dong Liu FedML OOD AAML 161 16 0 03 Jul 2021
Gradient-Leakage Resilient Federated Learning Wenqi Wei Ling Liu Yanzhao Wu Gong Su Arun Iyengar FedML 201 108 0 02 Jul 2021
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges B. Xi AAML 71 32 0 30 Jun 2021
Privacy Threats Analysis to Secure Federated Learning Yuchen Li Yifan Bao Liyao Xiang Junhan Liu Cen Chen Li Wang Xinbing Wang FedML 96 9 0 24 Jun 2021
Accuracy, Interpretability, and Differential Privacy via Explainable BoostingInternational Conference on Machine Learning (ICML), 2021 Harsha Nori R. Caruana Zhiqi Bu J. Shen Janardhan Kulkarni 143 46 0 17 Jun 2021
Privacy-Preserving Eye-tracking Using Deep Learning S. Seyedi Iris Zheng Allan I. Levey Gari D. Clifford FedML 66 1 0 17 Jun 2021
Federated Learning with Buffered Asynchronous AggregationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 John Nguyen Kshitiz Malik Hongyuan Zhan Ashkan Yousefpour Michael G. Rabbat Mani Malek Dzmitry Huba FedML 267 384 0 11 Jun 2021
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant MatrixInternational Conference on Machine Learning (ICML), 2021 Maximilian Lam Gu-Yeon Wei David Brooks Vijay Janapa Reddi Michael Mitzenmacher FedML 157 73 0 10 Jun 2021
Federated Neural Collaborative FilteringKnowledge-Based Systems (KBS), 2021 V. Perifanis P. Efraimidis FedML 183 138 0 02 Jun 2021
Quantifying and Localizing Usable Information Leakage from Neural Network Gradients Fan Mo Anastasia Borovykh Mohammad Malekzadeh Soteris Demetriou Deniz Gündüz Hamed Haddadi FedML 135 5 0 28 May 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' OutputsConference on Computer and Communications Security (CCS), 2021 Mohammad Malekzadeh Anastasia Borovykh Deniz Gündüz MIACV 151 44 0 25 May 2021
HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning Reza Nasirigerdeh Reihaneh Torkzadehmahani Julian O. Matschinske Jan Baumbach Daniel Rueckert Georgios Kaissis FedML 197 12 0 21 May 2021
Separation of Powers in Federated Learning P. Cheng Kevin Eykholt Zhongshu Gu Hani Jamjoom K.R. Jayaram Enriquillo Valdez Ashish Verma FedML 110 14 0 19 May 2021
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey Xiaoyu Zhang Chao Chen Yi Xie Xiaofeng Chen Jun Zhang Yang Xiang FedML 94 7 0 13 May 2021
DP-SIGNSGD: When Efficiency Meets Privacy and RobustnessIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 Lingjuan Lyu FedML AAML 107 23 0 11 May 2021
Federated Learning with Unreliable Clients: Performance Analysis and Mechanism DesignIEEE Internet of Things Journal (IEEE IoT Journal), 2021 Chuan Ma Jun Li Ming Ding Kang Wei Wen Chen H. Vincent Poor FedML 134 35 0 10 May 2021
Bounding Information Leakage in Machine Learning Ganesh Del Grosso Georg Pichler C. Palamidessi Pablo Piantanida MIACV FedML 180 13 0 09 May 2021
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated LearningACM Transactions on Intelligent Systems and Technology (ACM TIST), 2021 Hanchi Ren Jingjing Deng Xianghua Xie SILM AAML FedML 298 119 0 02 May 2021
Privacy-Preserving Federated Learning on Partitioned Attributes Shuang Zhang Liyao Xiang Xi Yu Pengzhi Chu Yingqi Chen Chen Cen L. Wang FedML 176 3 0 29 Apr 2021
PPFL: Privacy-preserving Federated Learning with Trusted Execution EnvironmentsACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services (MobiSys), 2021 Fan Mo Hamed Haddadi Kleomenis Katevas Eduard Marin Diego Perino N. Kourtellis FedML 235 272 0 29 Apr 2021
From Distributed Machine Learning to Federated Learning: A SurveyKnowledge and Information Systems (KAIS), 2021 Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 248 307 0 29 Apr 2021
Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's ComplexityInternational Conference on Security and Cryptography (SECRYPT), 2021 Mathias Parisot Balázs Pejó Dayana Spagnuelo MIACV 209 35 0 27 Apr 2021
Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning Yanjun Zhang Guangdong Bai Xue Li Surya Nepal R. Ko FedML 73 2 0 27 Apr 2021
A Graph Federated Architecture with Privacy Preserving LearningInternational Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021 Elsa Rizk Ali H. Sayed FedML 165 24 0 26 Apr 2021
Turning Federated Learning Systems Into Covert ChannelsIEEE Access (IEEE Access), 2021 Gabriele Costa Fabio Pinelli S. Soderi Gabriele Tolomei FedML 174 16 0 21 Apr 2021
Federated Learning of User Verification Models Without Sharing EmbeddingsInternational Conference on Machine Learning (ICML), 2021 H. Hosseini Hyunsin Park Sungrack Yun Christos Louizos Joseph B. Soriaga Max Welling FedML 95 28 0 18 Apr 2021
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter ItIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 Trung D. Q. Dang Om Thakkar Swaroop Indra Ramaswamy Rajiv Mathews Peter Chin Franccoise Beaufays FedML 83 10 0 15 Apr 2021
See through Gradients: Image Batch Recovery via GradInversionComputer Vision and Pattern Recognition (CVPR), 2021 Hongxu Yin Arun Mallya Arash Vahdat J. Álvarez Jan Kautz Pavlo Molchanov FedML 238 541 0 15 Apr 2021
Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent Zhao Wang Yifan Hu Jun Xiao Chao-Xiang Wu AI4CE 115 11 0 15 Apr 2021
Privacy-preserving Federated Learning based on Multi-key Homomorphic EncryptionInternational Journal of Intelligent Systems (IJIS), 2021 Jing Ma Si-Ahmed Naas S. Sigg X. Lyu 154 310 0 14 Apr 2021
Towards Causal Federated Learning For Enhanced Robustness and Privacy Sreya Francis Irene Tenison Irina Rish FedML OOD 114 15 0 14 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future ChallengesIEEE Journal on Selected Areas in Communications (JSAC), 2021 Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 193 478 0 05 Apr 2021
Knowledge Distillation For Wireless Edge LearningSymposium on Software Performance (SP), 2021 Ahmed P. Mohamed Abu Shafin Mohammad Mahdee Jameel Aly El Gamal FedML 66 4 0 03 Apr 2021
Game Theory Based Privacy Preserving Approach for Collaborative Deep Learning in IoT Deepti Gupta Smriti Bhatt Paras Bhatt Maanak Gupta A. Tosun 113 17 0 28 Mar 2021
Graph UnlearningConference on Computer and Communications Security (CCS), 2021 Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MU 166 184 0 27 Mar 2021
Prior-Independent Auctions for the Demand Side of Federated Learning Andreas A. Haupt Vaikkunth Mugunthan FedML 177 0 0 26 Mar 2021
SoK: Privacy-Preserving Collaborative Tree-based Model LearningProceedings on Privacy Enhancing Technologies (PoPETs), 2021 Sylvain Chatel Apostolos Pyrgelis J. Troncoso-Pastoriza Jean-Pierre Hubaux 230 17 0 16 Mar 2021
Membership Inference Attacks on Machine Learning: A SurveyACM Computing Surveys (CSUR), 2021 Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 231 561 0 14 Mar 2021
On the (In)Feasibility of Attribute Inference Attacks on Machine Learning ModelsEuropean Symposium on Security and Privacy (EuroS&P), 2021 Benjamin Zi Hao Zhao Aviral Agrawal Catisha Coburn Hassan Jameel Asghar Raghav Bhaskar M. Kâafar Darren Webb Peter Dickinson MIACV 106 50 0 12 Mar 2021
TAG: Gradient Attack on Transformer-based Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Jieren Deng Yijue Wang Ji Li Chao Shang Hang Liu Sanguthevar Rajasekaran Caiwen Ding FedML PILM 179 92 0 11 Mar 2021
A Study of Face Obfuscation in ImageNetInternational Conference on Machine Learning (ICML), 2021 Kaiyu Yang Jacqueline Yau Li Fei-Fei Gaowen Liu Olga Russakovsky PICV CVBM 216 157 0 10 Mar 2021
Privacy Amplification for Federated Learning via User Sampling and Wireless AggregationInternational Symposium on Information Theory (ISIT), 2021 Mohamed Seif Wei-Ting Chang Ravi Tandon FedML 155 51 0 02 Mar 2021
PFA: Privacy-preserving Federated Adaptation for Effective Model PersonalizationThe Web Conference (WWW), 2021 Bingyan Liu Yao Guo Xiangqun Chen FedML 162 101 0 02 Mar 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered DropoutNeural Information Processing Systems (NeurIPS), 2021 Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 569 321 0 26 Feb 2021
Learner-Private Convex OptimizationIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021 Jiaming Xu Kuang Xu Dana Yang FedML 140 2 0 23 Feb 2021
Obfuscation of Images via Differential Privacy: From Facial Images to General ImagesPeer-to-Peer Networking and Applications (PNA), 2021 W. Croft Jörg-Rüdiger Sack W. Shi PICV 155 27 0 19 Feb 2021
Machine Learning Based Cyber Attacks Targeting on Controlled Information: A SurveyACM Computing Surveys (CSUR), 2021 Yuantian Miao Chao Chen Lei Pan Qing-Long Han Jun Zhang Yang Xiang AAML 187 73 0 16 Feb 2021