Source Inference Attacks in Federated Learning

13 September 2021

Lichao Sun

Papers citing "Source Inference Attacks in Federated Learning"

33 / 33 papers shown

Title
Towards Resilient Federated Learning in CyberEdge Networks: Recent Advances and Future Trends Kai Li Zhengyang Zhang Azadeh Pourkabirian Wei Ni Falko Dressler Ozgur B. Akan 50 0 0 01 Apr 2025
FinP: Fairness-in-Privacy in Federated Learning by Addressing Disparities in Privacy Risk Tianyu Zhao Mahmoud Srewa Salma Elmalaki 95 1 0 25 Feb 2025
Membership Inference Attacks and Defenses in Federated Learning: A Survey Li Bai Haibo Hu Qingqing Ye Haoyang Li Leixia Wang Jianliang Xu FedML 82 14 0 09 Dec 2024
Protection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling Andreas Athanasiou Kangsoo Jung C. Palamidessi FedML 27 1 0 10 Nov 2024
A Survey of AI-Related Cyber Security Risks and Countermeasures in Mobility-as-a-Service Kai-Fung Chu Haiyue Yuan Jinsheng Yuan Weisi Guo Nazmiye Balta-Ozkan Shujun Li 42 2 0 08 Nov 2024
SoK: Towards Security and Safety of Edge AI Tatjana Wingarz Anne Lauscher Janick Edinger Dominik Kaaser Stefan Schulte Mathias Fischer 33 0 0 07 Oct 2024
A Federated Learning Approach for Multi-stage Threat Analysis in Advanced Persistent Threat Campaigns Florian Nelles Abbas Yazdinejad Ali Dehghantanha R. Parizi Gautam Srivastava 40 4 0 19 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 52 2 0 04 Jun 2024
No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning Zhibo Xing Zijian Zhang Ziáng Zhang Jiamou Liu Liehuang Zhu Giovanni Russello FedML 57 2 0 03 Jun 2024
Enhancing Security and Privacy in Federated Learning using Low-Dimensional Update Representation and Proximity-Based Defense Wenjie Li K. Fan Jingyuan Zhang Hui Li Wei Yang Bryan Lim Qiang Yang AAML FedML 48 0 0 29 May 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 29 3 0 22 Jan 2024
MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning Soumya Banerjee Sandip Roy Sayyed Farid Ahamed Devin Quinn Marc Vucovich Dhruv Nandakumar K. Choi Abdul Rahman Edward Bowen Sachin Shetty 30 3 0 28 Nov 2023
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning Hongsheng Hu Xuyun Zhang Z. Salcic Lichao Sun K. Choo Gillian Dobbie 16 16 0 30 Sep 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 35 39 0 14 Jun 2023
FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs Shanshan Han Baturalp Buyukates Zijian Hu Han Jin Weizhao Jin ... Qifan Zhang Yuhui Zhang Carlee Joe-Wong Salman Avestimehr Chaoyang He SILM 31 12 0 08 Jun 2023
On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions Leijie Wu Song Guo Junxiao Wang Zicong Hong Jie Zhang Jingren Zhou KELM 41 4 0 02 Jun 2023
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment Jiahao Liu Jiang Wu Jinyu Chen Miao Hu Yipeng Zhou Di Wu FedML 32 17 0 10 May 2023
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI Juexiao Zhou Longxi Zhou Di Wang Xiaopeng Xu Haoyang Li Yuetan Chu Wenkai Han Xin Gao 28 20 0 20 Feb 2023
Flow: Per-Instance Personalized Federated Learning Through Dynamic Routing Kunjal Panchal Sunav Choudhary Nisarg Parikh Lijun Zhang Hui Guan 34 5 0 28 Nov 2022
Local Model Reconstruction Attacks in Federated Learning and their Uses Ilias Driouich Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML FedML 32 2 0 28 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 54 4 0 19 Oct 2022
M^4I: Multi-modal Models Membership Inference Pingyi Hu Zihan Wang Ruoxi Sun Hu Wang Minhui Xue 39 26 0 15 Sep 2022
Efficient and Privacy Preserving Group Signature for Federated Learning Sneha Kanchan Jae Won Jang J. Yoon Bong Jun Choi 24 9 0 12 Jul 2022
Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning Georg Pichler Marco Romanelli L. Rey Vega Pablo Piantanida FedML 36 10 0 30 Mar 2022
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings Tiantian Feng H. Hashemi Rajat Hebbar M. Annavaram Shrikanth S. Narayanan 26 25 0 26 Dec 2021
On the Security & Privacy in Federated Learning Gorka Abad S. Picek Víctor Julio Ramírez-Durán A. Urbieta 44 11 0 10 Dec 2021
Membership Inference Attacks on Knowledge Graphs Yu Wang Lifu Huang Philip S. Yu Lichao Sun MIACV 27 15 0 16 Apr 2021
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 35 412 0 14 Mar 2021
FedMood: Federated Learning on Mobile Health Data for Mood Detection Xiaohang Xu Hao Peng Lichao Sun Md. Zakirul Alam Bhuiyan Lianzhong Liu Lifang He FedML 46 53 0 06 Feb 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 183 355 0 07 Dec 2020
Investigating Membership Inference Attacks under Data Dependencies Thomas Humphries Simon Oya Lindsey Tulloch Matthew Rafuse I. Goldberg Urs Hengartner Florian Kerschbaum MIACV MIALM 24 35 0 23 Oct 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 168 564 0 27 Jul 2020
Quality Inference in Federated Learning with Secure Aggregation Balázs Pejó G. Biczók FedML 21 22 0 13 Jul 2020