Threats to Federated Learning: A Survey

4 March 2020

Papers citing "Threats to Federated Learning: A Survey"

50 / 203 papers shown

Title
Enhancing Split Learning with Sharded and Blockchain-Enabled SplitFed Approaches Amirreza Sokhankhosh Khalid Hassan Sara Rouhani FedML 40 0 0 29 Sep 2025
DPFNAS: Differential Privacy-Enhanced Federated Neural Architecture Search for 6G Edge Intelligence Yang Lv Jin Cao Ben Niu Zhe Sun Fengwei Wang Fenghua Li Hui Li FedML 20 0 0 27 Sep 2025
Non-Linear Trajectory Modeling for Multi-Step Gradient Inversion Attacks in Federated Learning Li Xia Zheng Liu Sili Huang Wei Tang Xuan Liu AAML 28 0 0 26 Sep 2025
AntiFLipper: A Secure and Efficient Defense Against Label-Flipping Attacks in Federated Learning Aashnan Rahman Abid Hasan Sherajul Arifin Faisal Haque Bappy Tahrim Hossain Tariqul Islam Abu Raihan Mostofa Kamal M. Hossain AAML 12 0 0 26 Sep 2025
Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey Devashish Chaudhary Sutharshan Rajasegarar Mengyue Deng FedML AI4CE 60 0 0 24 Sep 2025
Enhancing the Effectiveness and Durability of Backdoor Attacks in Federated Learning through Maximizing Task Distinction Zhaoxin Wang Handing Wang Cong Tian Yaochu Jin FedML AAML 32 0 0 23 Sep 2025
Not All Samples Are Equal: Quantifying Instance-level Difficulty in Targeted Data Poisoning William Xu Yiwei Lu Yihan Wang Matthew Y.R. Yang Zuoqiu Liu Gautam Kamath Yaoliang Yu 68 0 0 08 Sep 2025
FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Xiangyu Zhang Mang Ye FedML 68 0 0 30 Aug 2025
FLAegis: A Two-Layer Defense Framework for Federated Learning Against Poisoning Attacks Enrique Mármol Campos Aurora González-Vidal José Luis Hernández Ramos A. Gómez-Skarmeta AAML 12 0 0 26 Aug 2025
AnalogFed: Federated Discovery of Analog Circuit Topologies with Generative AI Qiufeng Li Shu Hong Jian Gao Xuan Zhang Tian Lan Weidong Cao 44 1 0 20 Jul 2025
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 117 1 0 27 May 2025
Approximated Behavioral Metric-based State Projection for Federated Reinforcement LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Zengxia Guo Bohui An Zhongqi Lu FedML 132 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 227 4 0 11 May 2025
Intelligent Attacks and Defense Methods in Federated Learning-enabled Energy-Efficient Wireless NetworksIEEE Transactions on Wireless Communications (TWC), 2025 Han Zhang Hao Zhou Medhat H. M. Elsayed Majid Bavand Raimundas Gaigalas Yigit Ozcan Melike Erol-Kantarci AAML 151 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 240 1 0 17 Apr 2025
Improving Efficiency in Federated Learning with Optimized Homomorphic Encryption Feiran Yang FedML 174 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 133 2 0 19 Mar 2025
BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption Evan Gronberg L. dÁliberti Magnus Saebo Aurora Hook FedML 128 0 0 20 Jan 2025
Membership Inference Attacks and Defenses in Federated Learning: A SurveyACM Computing Surveys (ACM CSUR), 2024 Li Bai Haibo Hu Qingqing Ye Haoyang Li Leixia Wang Jianliang Xu FedML 181 42 0 09 Dec 2024
Trustworthy Federated Learning: Privacy, Security, and BeyondKnowledge and Information Systems (KAIS), 2024 Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 180 27 0 03 Nov 2024
TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic Jinqian Chen Jihua Zhu 217 0 0 16 Oct 2024
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2024 Haokun Chen Hang Li Yao Zhang Gengyuan Zhang Jinhe Bi Juil Sock Philip Torr Denis Krompass Denis Krompass Volker Tresp 197 9 0 07 Oct 2024
Trustworthy AI: Securing Sensitive Data in Large Language ModelsApplied Informatics (AI), 2024 G. Feretzakis V. Verykios 109 28 0 26 Sep 2024
Byzantine-Robust Aggregation for Securing Decentralized Federated Learning Diego Cajaraville-Aboy Ana Fernández-Vilas R. Redondo Manuel Fernández-Veiga 130 5 0 26 Sep 2024
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored ClippingInternational Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt), 2024 Jiaxing Li Zihan Chen Kai Fong Ernest Chong Bikramjit Das Tony Q.S. Quek Howard H. Yang 257 1 0 23 Sep 2024
VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and PurificationEuropean Symposium on Research in Computer Security (ESORICS), 2024 Yungi Cho Woorim Han Miseon Yu Younghan Lee Ho Bae Y. Paek AAML FedML 116 4 0 28 Aug 2024
Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing Vinit Hegiste T. Legler Martin Ruskowski 120 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 136 5 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 160 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 188 4 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 238 5 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 147 4 0 19 Jun 2024
Federated Learning with Flexible Architectures Jong-Ik Park Carlee Joe-Wong FedML 144 4 0 14 Jun 2024
Privacy-preserving Quantification of Non-IID Degree in Federated Learning Yuping Yan Yizhi Wang Yingchao Yu Yaochu Jin FedML 117 0 0 14 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 216 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 143 3 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 153 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 110 14 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 122 5 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 108 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 136 9 0 04 May 2024
Privacy-aware Berrut Approximated Coded Computing for Federated Learning Xavier Martínez Luana Rebeca P. Díaz Redondo Manuel Fernández-Veiga FedML 240 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 120 13 0 01 May 2024
Intelligent Agents for Auction-based Federated Learning: A Survey Xiaoli Tang Han Yu Xiaoxiao Li Sarit Kraus FedML 128 11 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 84 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 110 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 169 5 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 145 15 0 21 Mar 2024
Securing Federated Learning with Control-Flow Attestation: A Novel Framework for Enhanced Integrity and Resilience against Adversarial Attacks Zahir Alsulaimawi 156 3 0 15 Mar 2024
Federated Learning with Anomaly Detection via Gradient and Reconstruction Analysis Zahir Alsulaimawi 133 4 0 15 Mar 2024