Securing Federated Learning with Control-Flow Attestation: A Novel Framework for Enhanced Integrity and Resilience against Adversarial Attacks
Authors: Zahir Alsulaimawi | Published: 2024-03-15
連合学習
Explainable Machine Learning-Based Security and Privacy Protection Framework for Internet of Medical Things Systems
Authors: Ayoub Si-ahmed, Mohammed Ali Al-Garadi, Narhimene Boustia | Published: 2024-03-14
Don’t Forget What I did?: Assessing Client Contributions in Federated Learning
Authors: Bishwamittra Ghosh, Debabrota Basu, Fu Huazhu, Wang Yuan, Renuga Kanagavelu, Jiang Jin Peng, Liu Yong, Goh Siow Mong Rick, Wei Qingsong | Published: 2024-03-11
Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains
Authors: Nikita Tsoy, Anna Mihalkova, Teodora Todorova, Nikola Konstantinov | Published: 2024-03-11 | Updated: 2024-11-07
Fluent: Round-efficient Secure Aggregation for Private Federated Learning
Authors: Xincheng Li, Jianting Ning, Geong Sen Poh, Leo Yu Zhang, Xinchun Yin, Tianwei Zhang | Published: 2024-03-10
Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
Authors: Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari, Sediola Ruko, Briland Hitaj, Luigi V. Mancini, Fernando Perez-Cruz | Published: 2024-03-06
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation
Authors: Zahir Alsulaimawi | Published: 2024-03-05
Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks
Authors: Ehsan Nowroozi, Imran Haider, Rahim Taheri, Mauro Conti | Published: 2024-03-05
Enhancing Data Provenance and Model Transparency in Federated Learning Systems — A Database Approach
Authors: Michael Gu, Ramasoumya Naraparaju, Dongfang Zhao | Published: 2024-03-03
Analysis of Privacy Leakage in Federated Large Language Models
Authors: Minh N. Vu, Truc Nguyen, Tre' R. Jeter, My T. Thai | Published: 2024-03-02