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"

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Title
Decentralized Federated Learning: A Survey on Security and PrivacyIEEE Transactions on Big Data (IEEE Trans. Big Data), 2024 Ehsan Hallaji R. Razavi-Far R. Razavi-Far Boyu Wang Qiang Yang FedML 216 78 0 25 Jan 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Chao-Jung Liu Boxi Chen Wei Shao Chris Zhang Kelvin Wong Yi Zhang 234 7 0 22 Jan 2024
On-Device Recommender Systems: A Comprehensive Survey Hongzhi Yin Liang Qu Tong Chen Wei Yuan Ruiqi Zheng Jing Long Xin Xia Yuhui Shi Chengqi Zhang 238 55 0 21 Jan 2024
Security and Privacy Issues and Solutions in Federated Learning for Digital HealthcareInternational Conference on Future Data and Security Engineering (ICFDSE), 2024 Hyejun Jeong Tai-Myung Chung FedML 128 1 0 16 Jan 2024
Privacy Preserving Adaptive Experiment DesignInternational Conference on Machine Learning (ICML), 2024 Jiachun Li Kaining Shi David Simchi-Levi 327 1 0 16 Jan 2024
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation MetricsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 Nicolò Romandini Alessio Mora Carlo Mazzocca R. Montanari Paolo Bellavista FedML MU 267 44 0 10 Jan 2024
Learning-Based Difficulty Calibration for Enhanced Membership Inference AttacksEuropean Symposium on Security and Privacy (EuroS&P), 2024 Haonan Shi Ouyang Tu An Wang 240 4 0 10 Jan 2024
Privacy-Preserving in Blockchain-based Federated Learning Systems Sameera K.M. S. Nicolazzo Marco Arazzi Antonino Nocera Rafidha Rehiman K.A. V. P. Mauro Conti 143 53 0 07 Jan 2024
Locally Differentially Private Embedding Models in Distributed Fraud Prevention Systems Iker Perez Jason Wong Piotr Skalski Stuart Burrell Richard Mortier Derek McAuley David Sutton FedML 135 2 0 03 Jan 2024
FedQV: Leveraging Quadratic Voting in Federated Learning Tianyue Chu Nikolaos Laoutaris FedML 272 4 0 02 Jan 2024
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software DeploymentIEEE Transactions on Software Engineering (TSE), 2024 Jie Zhu Leye Wang Xiao Han Anmin Liu Tao Xie AAML 167 6 0 02 Jan 2024
Federated learning with differential privacy and an untrusted aggregator Kunlong Liu Trinabh Gupta 208 2 0 17 Dec 2023
PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2023 Yuting Ma Yuanzhi Yao Xiaohua Xu FedML 117 7 0 16 Dec 2023
Privacy-Aware Document Visual Question AnsweringIEEE International Conference on Document Analysis and Recognition (ICDAR), 2023 Rubèn Pérez Tito Khanh Nguyen Marlon Tobaben Raouf Kerkouche Mohamed Ali Souibgui ... Lei Kang Ernest Valveny Antti Honkela Mario Fritz Dimosthenis Karatzas 174 16 0 15 Dec 2023
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning Against Attribute Inference AttacksAAAI Conference on Artificial Intelligence (AAAI), 2023 Caridad Arroyo Arevalo Sayedeh Leila Noorbakhsh Yun Dong Yuan Hong Binghui Wang 220 20 0 12 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 339 6 0 07 Dec 2023
Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection Tuan Hoang Santu Rana Sunil R. Gupta Svetha Venkatesh BDL MU 184 34 0 07 Dec 2023
Low-Cost High-Power Membership Inference AttacksInternational Conference on Machine Learning (ICML), 2023 Sajjad Zarifzadeh Philippe Liu Reza Shokri 268 72 0 06 Dec 2023
FP-Fed: Privacy-Preserving Federated Detection of Browser FingerprintingNetwork and Distributed System Security Symposium (NDSS), 2023 Meenatchi Sundaram Muthu Selva Annamalai Igor Bilogrevic Emiliano De Cristofaro 184 3 0 28 Nov 2023
Survey on AI Ethics: A Socio-technical PerspectiveInternational Conference on Climate Informatics (ICCI), 2023 Dave Mbiazi Meghana Bhange Maryam Babaei Ivaxi Sheth Patrik Kenfack Samira Ebrahimi Kahou 319 8 0 28 Nov 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 261 31 0 27 Nov 2023
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge ProofsProceedings of the VLDB Endowment (PVLDB), 2023 Yizheng Zhu Yuncheng Wu Zhaojing Luo Beng Chin Ooi Xiaokui Xiao 278 7 0 26 Nov 2023
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and ReleaseProceedings of the VLDB Endowment (PVLDB), 2023 Jie Fu Qingqing Ye Haibo Hu Zhili Chen Lulu Wang Kuncan Wang Xun Ran 228 24 0 23 Nov 2023
Federated Experiment Design under Distributed Differential Privacy Wei-Ning Chen Graham Cormode Akash Bharadwaj Peter Romov Ayfer Özgür FedML 163 4 0 07 Nov 2023
MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace TrainingUSENIX Security Symposium (USENIX Security), 2023 Jiacheng Li Ninghui Li Bruno Ribeiro 266 6 0 02 Nov 2023
Maximum Knowledge Orthogonality Reconstruction with Gradients in Federated LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Feng Wang Senem Velipasalar M. C. Gursoy 141 3 0 30 Oct 2023
SoK: Memorization in General-Purpose Large Language Models Valentin Hartmann Anshuman Suri Vincent Bindschaedler David Evans Shruti Tople Robert West KELM LLMAG 264 34 0 24 Oct 2023
A Comprehensive Study of Privacy Risks in Curriculum LearningProceedings on Privacy Enhancing Technologies (PoPETs), 2023 Joann Qiongna Chen Xinlei He Zheng Li Yang Zhang Zhou Li 227 2 0 16 Oct 2023
Text Embeddings Reveal (Almost) As Much As TextConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 John X. Morris Volodymyr Kuleshov Vitaly Shmatikov Alexander M. Rush RALM 225 156 0 10 Oct 2023
A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning Padmaksha Roy Jaganmohan Chandrasekaran Erin Lanus Laura J. Freeman Jeremy Werner 254 5 0 06 Oct 2023
FedLPA: One-shot Federated Learning with Layer-Wise Posterior AggregationNeural Information Processing Systems (NeurIPS), 2023 Xiang Liu Liangxi Liu Feiyang Ye Yunheng Shen Xia Li Linshan Jiang Jialin Li 388 12 0 30 Sep 2023
Source Inference Attacks: Beyond Membership Inference Attacks in Federated LearningIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023 Hongsheng Hu Xuyun Zhang Z. Salcic Lichao Sun K. Choo Gillian Dobbie 134 24 0 30 Sep 2023
Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey Victoria Smith Ali Shahin Shamsabadi Carolyn Ashurst Adrian Weller PILM 348 40 0 27 Sep 2023
Fingerprint Attack: Client De-Anonymization in Federated LearningEuropean Conference on Artificial Intelligence (ECAI), 2023 Xingliang Yuan Trevor Cohn Olga Ohrimenko FedML 147 2 0 12 Sep 2023
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks Daniel Scheliga Patrick Mäder M. Seeland FedML AAML 235 7 0 08 Sep 2023
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification TasksIEEE Transactions on Mobile Computing (IEEE TMC), 2023 Jingyi Li Guocheng Liao Lin Chen Xu Chen 182 15 0 06 Sep 2023
ALI-DPFL: Differentially Private Federated Learning with Adaptive Local IterationsIEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2023 Xinpeng Ling Jie Fu Kuncan Wang Haitao Liu Zhili Chen FedML 419 2 0 21 Aug 2023
Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated LearningIEEE Symposium on Security and Privacy (IEEE S&P), 2023 Yiping Ma Jess Woods Sebastian Angel Antigoni Polychroniadou T. Rabin FedML 237 79 0 19 Aug 2023
Attesting Distributional Properties of Training Data for Machine LearningEuropean Symposium on Research in Computer Security (ESORICS), 2023 Vasisht Duddu Anudeep Das Nora Khayata Hossein Yalame T. Schneider Nirmal Asokan 205 7 0 18 Aug 2023
GIFD: A Generative Gradient Inversion Method with Feature Domain OptimizationIEEE International Conference on Computer Vision (ICCV), 2023 Hao Fang Bin Chen Xuan Wang Zhi Wang Shutao Xia 227 51 0 09 Aug 2023
When Federated Learning meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property ProtectionMachine Learning and Knowledge Extraction (MLKE), 2023 Mohammed Lansari Reda Bellafqira K. Kapusta V. Thouvenot Olivier Bettan Reda Bellafqira FedML 115 28 0 07 Aug 2023
Private Federated Learning with Dynamic Power Control via Non-Coherent Over-the-Air Computation Anbang Zhang Shuaishuai Guo Shuai Liu 89 2 0 05 Aug 2023
Asynchronous Federated Learning with Bidirectional Quantized Communications and Buffered Aggregation Tomàs Ortega Hamid Jafarkhani FedML 157 10 0 01 Aug 2023
The Applicability of Federated Learning to Official Statistics Joshua Stock Oliver Hauke Julius Weissmann Hannes Federrath FedML 122 1 0 28 Jul 2023
Samplable Anonymous Aggregation for Private Federated Data AnalysisConference on Computer and Communications Security (CCS), 2023 Kunal Talwar Shan Wang Audra McMillan Vojta Jina Vitaly Feldman ... Congzheng Song Karl Tarbe Sebastian Vogt L. Winstrom Shundong Zhou FedML 307 17 0 27 Jul 2023
Mitigating Cross-client GANs-based Attack in Federated Learning Hong Huang Xinyu Lei Tao Xiang AAML 320 2 0 25 Jul 2023
Security and Privacy Issues of Federated Learning J. Hasan 112 16 0 22 Jul 2023
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion AttacksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Shiwei Ding Lan Zhang Miao Pan Xiaoyong Yuan AAML 193 10 0 20 Jul 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 238 39 0 20 Jul 2023
Federated Large Language Model: A Position Paper Chaochao Chen Xiaohua Feng Jun Zhou Jianwei Yin Xiaolin Zheng 98 35 0 18 Jul 2023