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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PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps Ruixuan Liu Tianhao Wang Yang Cao Li Xiong AAML SILM 37 15 0 14 Mar 2024
Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack Yinggui Wang Yuanqing Huang Jianshu Li Le Yang Kai Song Lei Wang AAML PICV 48 0 0 14 Mar 2024
Federated Learning: Attacks, Defenses, Opportunities, and Challenges Ghazaleh Shirvani Saeid Ghasemshirazi Behzad Beigzadeh FedML 50 3 0 10 Mar 2024
Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach Qi Tan Qi Li Yi Zhao Zhuotao Liu Xiaobing Guo Ke Xu FedML 34 2 0 02 Mar 2024
PrivatEyes: Appearance-based Gaze Estimation Using Federated Secure Multi-Party Computation Mayar Elfares Pascal Reisert Zhiming Hu Wenwu Tang Ralf Küsters Andreas Bulling FedML 26 4 0 29 Feb 2024
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective Xinjian Luo Yangfan Jiang Fei Wei Yuncheng Wu Xiaokui Xiao Beng Chin Ooi DiffM 30 4 0 28 Feb 2024
How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study Natalija Mitic Apostolos Pyrgelis Sinem Sav FedML 58 1 0 25 Feb 2024
Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs Anika Hannemann Jan Ewald Leo Seeger Erik Buchmann FedML 35 2 0 22 Feb 2024
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness David Fernández Llorca Ronan Hamon Henrik Junklewitz Kathrin Grosse Lars Kunze ... Nick Reed Alexandre Alahi Emilia Gómez Ignacio E. Sánchez Á. Kriston 45 5 0 21 Feb 2024
Prompt Stealing Attacks Against Large Language Models Zeyang Sha Yang Zhang SILM AAML 35 28 0 20 Feb 2024
The Fundamental Limits of Least-Privilege Learning Theresa Stadler B. Kulynych Michael Gastpar Nicoals Papernot Carmela Troncoso 28 1 0 19 Feb 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning Christophe Roux Max Zimmer S. Pokutta AAML 49 1 0 19 Feb 2024
Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code Vahid Majdinasab Amin Nikanjam Foutse Khomh 33 8 0 14 Feb 2024
Momentum Approximation in Asynchronous Private Federated Learning Tao Yu Congzheng Song Jianyu Wang Mona Chitnis FedML 35 1 0 14 Feb 2024
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective Lei Yu Meng Han Yiming Li Changting Lin Yao Zhang ... Yan Liu Haiqin Weng Yuseok Jeon Ka-Ho Chow Stacy Patterson FedML 58 9 0 06 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 18 16 0 02 Feb 2024
Decentralized Federated Learning: A Survey on Security and Privacy Ehsan Hallaji R. Razavi-Far M. Saif Boyu Wang Qiang Yang FedML 43 34 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 19 3 0 22 Jan 2024
Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare Hyejun Jeong Tai-Myung Chung FedML 19 1 0 16 Jan 2024
Privacy Preserving Adaptive Experiment Design Jiachun Li Kaining Shi David Simchi-Levi 26 1 0 16 Jan 2024
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics Nicolò Romandini Alessio Mora Carlo Mazzocca R. Montanari Paolo Bellavista FedML MU 56 22 0 10 Jan 2024
Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks Haonan Shi Ouyang Tu An Wang 13 1 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 14 25 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 15 1 0 03 Jan 2024
FedQV: Leveraging Quadratic Voting in Federated Learning Tianyue Chu Nikolaos Laoutaris FedML 11 2 0 02 Jan 2024
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software Deployment Jie Zhu Leye Wang Xiao Han Anmin Liu Tao Xie AAML 25 5 0 02 Jan 2024
Federated learning with differential privacy and an untrusted aggregator Kunlong Liu Trinabh Gupta 37 0 0 17 Dec 2023
PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning Yuting Ma Yuanzhi Yao Xiaohua Xu FedML 11 4 0 16 Dec 2023
Privacy-Aware Document Visual Question Answering Rubèn Pérez Tito Khanh Nguyen Marlon Tobaben Raouf Kerkouche Mohamed Ali Souibgui ... Lei Kang Ernest Valveny Antti Honkela Mario Fritz Dimosthenis Karatzas 28 13 0 15 Dec 2023
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning Against Attribute Inference Attacks Caridad Arroyo Arevalo Sayedeh Leila Noorbakhsh Yun Dong Yuan Hong Binghui Wang 44 13 0 12 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 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 16 19 0 07 Dec 2023
Low-Cost High-Power Membership Inference Attacks Sajjad Zarifzadeh Philippe Liu Reza Shokri 47 34 0 06 Dec 2023
Survey on AI Ethics: A Socio-technical Perspective Dave Mbiazi Meghana Bhange Maryam Babaei Ivaxi Sheth Patrik Joslin Kenfack 15 4 0 28 Nov 2023
FP-Fed: Privacy-Preserving Federated Detection of Browser Fingerprinting Meenatchi Sundaram Muthu Selva Annamalai Igor Bilogrevic Emiliano De Cristofaro 26 1 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 29 19 0 27 Nov 2023
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs Yizheng Zhu Yuncheng Wu Zhaojing Luo Beng Chin Ooi Xiaokui Xiao 22 4 0 26 Nov 2023
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release Jie Fu Qingqing Ye Haibo Hu Zhili Chen Lulu Wang Kuncan Wang Xun Ran 16 14 0 23 Nov 2023
Federated Experiment Design under Distributed Differential Privacy Wei-Ning Chen Graham Cormode Akash Bharadwaj Peter Romov Ayfer Özgür FedML 15 2 0 07 Nov 2023
MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training Jiacheng Li Ninghui Li Bruno Ribeiro 30 2 0 02 Nov 2023
Maximum Knowledge Orthogonality Reconstruction with Gradients in Federated Learning Feng Wang Senem Velipasalar M. C. Gursoy 9 2 0 30 Oct 2023
SoK: Memorization in General-Purpose Large Language Models Valentin Hartmann Anshuman Suri Vincent Bindschaedler David E. Evans Shruti Tople Robert West KELM LLMAG 16 20 0 24 Oct 2023
A Comprehensive Study of Privacy Risks in Curriculum Learning Joann Qiongna Chen Xinlei He Zheng Li Yang Zhang Zhou Li 38 2 0 16 Oct 2023
Text Embeddings Reveal (Almost) As Much As Text John X. Morris Volodymyr Kuleshov Vitaly Shmatikov Alexander M. Rush RALM 26 94 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 20 3 0 06 Oct 2023
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation Xiang Liu Liangxi Liu Feiyang Ye Yunheng Shen Xia Li Linshan Jiang Jialin Li 23 4 0 30 Sep 2023
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning Hongsheng Hu Xuyun Zhang Z. Salcic Lichao Sun K. Choo Gillian Dobbie 11 16 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 32 24 0 27 Sep 2023
Fingerprint Attack: Client De-Anonymization in Federated Learning Qiongkai Xu Trevor Cohn Olga Ohrimenko FedML 10 2 0 12 Sep 2023
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks Jingyi Li Guocheng Liao Lin Chen Xu Chen 19 8 0 06 Sep 2023