Threats to Federated Learning: A Survey

4 March 2020

Papers citing "Threats to Federated Learning: A Survey"

50 / 193 papers shown

Title
Instance Data Condensation for Image Super-Resolution Tianhao Peng Ho Man Kwan Yuxuan Jiang Ge Gao Fan Zhang Xiaozhong Xu Shan Liu David Bull DD 54 1 0 27 May 2025
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning Zengxia Guo Bohui An Zhongqi Lu FedML 67 0 0 15 May 2025
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence Yu Qiao Huy Q. Le Avi Deb Raha Phuong-Nam Tran Apurba Adhikary Mengchun Zhang Loc X. Nguyen Eui-nam Huh Dusit Niyato Choong Seon Hong AI4CE 161 1 0 11 May 2025
Intelligent Attacks and Defense Methods in Federated Learning-enabled Energy-Efficient Wireless Networks Han Zhang Hao Zhou Medhat H. M. Elsayed Majid Bavand Raimundas Gaigalas Yigit Ozcan Melike Erol-Kantarci AAML 119 0 0 25 Apr 2025
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Georgios Papadopoulos Shaltiel Eloul Yash Satsangi Jamie Heredge Niraj Kumar Chun-Fu Chen Marco Pistoia 137 0 0 17 Apr 2025
Improving Efficiency in Federated Learning with Optimized Homomorphic Encryption Feiran Yang FedML 113 0 0 03 Apr 2025
Defending Against Gradient Inversion Attacks for Biomedical Images via Learnable Data Perturbation Shiyi Jiang F. Firouzi Krishnendu Chakrabarty AAML MedIm 89 1 0 19 Mar 2025
BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption Evan Gronberg L. dÁliberti Magnus Saebo Aurora Hook FedML 85 0 0 20 Jan 2025
Membership Inference Attacks and Defenses in Federated Learning: A Survey Li Bai Haibo Hu Qingqing Ye Haoyang Li Leixia Wang Jianliang Xu FedML 114 14 0 09 Dec 2024
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 105 11 0 03 Nov 2024
TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic Jinqian Chen Jihua Zhu 140 0 0 16 Oct 2024
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models Haokun Chen Hang Li Yao Zhang Gengyuan Zhang Jinhe Bi Philip Torr Philip Torr Denis Krompass Denis Krompass Volker Tresp 127 3 0 07 Oct 2024
Trustworthy AI: Securing Sensitive Data in Large Language Models G. Feretzakis V. Verykios 58 17 0 26 Sep 2024
Byzantine-Robust Aggregation for Securing Decentralized Federated Learning Diego Cajaraville-Aboy Ana Fernández-Vilas R. Redondo Manuel Fernández-Veiga 86 3 0 26 Sep 2024
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping Jiaxing Li Zihan Chen Kai Fong Ernest Chong Bikramjit Das Tony Q.S. Quek Howard H. Yang 137 0 0 23 Sep 2024
VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification Yungi Cho Woorim Han Miseon Yu Younghan Lee Ho Bae Y. Paek AAML FedML 64 0 0 28 Aug 2024
Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing Vinit Hegiste T. Legler Martin Ruskowski 80 2 0 19 Aug 2024
Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques Vinit Hegiste Snehal Walunj Jibinraj Antony T. Legler Martin Ruskowski FedML 83 3 0 16 Aug 2024
Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy Wei Huo Changxin Liu Kemi Ding Karl H. Johansson Ling Shi FedML 94 0 0 08 Aug 2024
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning Luca Corbucci Mikko A. Heikkilä David Solans Noguero Anna Monreale Nicolas Kourtellis FedML 121 3 0 21 Jul 2024
PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning Sizai Hou Songze Li Tayyebeh Jahani-Nezhad Giuseppe Caire FedML 118 4 0 12 Jul 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 111 4 0 19 Jun 2024
Federated Learning with Flexible Architectures Jong-Ik Park Carlee Joe-Wong FedML 84 3 0 14 Jun 2024
Privacy-preserving Quantification of Non-IID Degree in Federated Learning Yuping Yan Yizhi Wang Yingchao Yu Yaochu Jin FedML 72 0 0 14 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 112 2 0 04 Jun 2024
Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping Ziqing Fan Jiangchao Yao Ruipeng Zhang Lingjuan Lyu Ya Zhang Yanfeng Wang FedML 75 2 0 29 May 2024
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning Dario Fenoglio Gabriele Dominici Pietro Barbiero Alberto Tonda M. Gjoreski Marc Langheinrich FedML 76 0 0 24 May 2024
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review Md. Shahin Ali M. Ahsan Lamia Tasnim Sadia Afrin Koushik Biswas Maruf Md. Sajjad Hossain Md Mahfuz Ahmed Ronok Hashan Md. Khairul Islam Shivakumar Raman 72 11 0 22 May 2024
A GAN-Based Data Poisoning Attack Against Federated Learning Systems and Its Countermeasure Wei Sun Bo Gao Ke Xiong Yuwei Wang AAML FedML 100 2 0 19 May 2024
Federated Learning for Misbehaviour Detection with Variational Autoencoders and Gaussian Mixture Models Enrique Mármol Campos Aurora González-Vidal José Luis Hernández Ramos A. Gómez-Skarmeta 57 1 0 16 May 2024
FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer Xin Gao Xin Yang Hao Yu Yan Kang Tianrui Li CLL 95 2 0 04 May 2024
Privacy-aware Berrut Approximated Coded Computing for Federated Learning Xavier Martínez Luana Rebeca P. Díaz Redondo Manuel Fernández-Veiga FedML 108 2 0 02 May 2024
Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning Seyed Mahmoud Sajjadi Mohammadabadi Lei Yang Feng Yan Junshan Zhang 67 7 0 01 May 2024
Intelligent Agents for Auction-based Federated Learning: A Survey Xiaoli Tang Han Yu Xiaoxiao Li Sarit Kraus FedML 89 8 0 20 Apr 2024
FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom Yuanqin He Yan Kang Lixin Fan Qiang Yang 57 3 0 18 Apr 2024
FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense Mechanism Against Poisoning Attacks in Federated Learning Sungwon Han Hyeonho Song Sungwon Park Meeyoung Cha FedML AAML 68 0 0 18 Apr 2024
Integration of Federated Learning and Blockchain in Healthcare: A Tutorial Yahya Shahsavari O. A. Dambri Yaser Baseri A. Hafid Dimitrios Makrakis OOD 108 3 0 15 Apr 2024
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning Minh-Tuan Tran Trung Le Xuan-May Le Mehrtash Harandi Dinh Q. Phung CLL 112 10 0 21 Mar 2024
Securing Federated Learning with Control-Flow Attestation: A Novel Framework for Enhanced Integrity and Resilience against Adversarial Attacks Zahir Alsulaimawi 116 3 0 15 Mar 2024
Federated Learning with Anomaly Detection via Gradient and Reconstruction Analysis Zahir Alsulaimawi 52 1 0 15 Mar 2024
MGIC: A Multi-Label Gradient Inversion Attack based on Canny Edge Detection on Federated Learning Can Liu Jin Wang 107 1 0 13 Mar 2024
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation Zahir Alsulaimawi AAML FedML 58 3 0 05 Mar 2024
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors Yiwei Lu Matthew Y.R. Yang Gautam Kamath Yaoliang Yu AAML SILM 129 8 0 20 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 151 9 0 06 Feb 2024
SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding Chanho Park Namyoon Lee FedML AAML 89 2 0 02 Feb 2024
Survey of Privacy Threats and Countermeasures in Federated Learning M. Hayashitani Junki Mori Isamu Teranishi FedML 104 1 0 01 Feb 2024
Decentralized Federated Learning: A Survey on Security and Privacy Ehsan Hallaji R. Razavi-Far M. Saif Boyu Wang Qiang Yang FedML 116 39 0 25 Jan 2024
Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare Hyejun Jeong Tai-Myung Chung FedML 62 1 0 16 Jan 2024
Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning Yu Jiang Jiyuan Shen Ziyao Liu Chee Wei Tan Kwok-Yan Lam AAML FedML 118 5 0 16 Jan 2024
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 81 44 0 27 Dec 2023