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FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning

, , , , and . To appear soon at the Network and Distributed System Security Symposium (NDSS), (2024)

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To ChatGPT, or not to ChatGPT: That is the question!, , , and . CoRR, (2023)BayBFed: Bayesian Backdoor Defense for Federated Learning., , , , and . SP, page 737-754. IEEE, (2023)Secure Message Delivery Games for Device-to-Device Communications., , , and . GameSec, volume 8840 of Lecture Notes in Computer Science, page 195-215. Springer, (2014)DÏoT: A Federated Self-learning Anomaly Detection System for IoT., , , , , and . ICDCS, page 756-767. IEEE, (2019)FLAME: Taming Backdoors in Federated Learning., , , , , , , , , and 3 other author(s). USENIX Security Symposium, page 1415-1432. USENIX Association, (2022)AuthentiSense: A Scalable Behavioral Biometrics Authentication Scheme using Few-Shot Learning for Mobile Platforms., , , , , , , and . NDSS, The Internet Society, (2023)ANASTASIA: ANdroid mAlware detection using STatic analySIs of Applications., , , and . NTMS, page 1-5. IEEE, (2016)On the Security of Strong Memristor-based Physically Unclonable Functions., , , and . DAC, page 1-6. IEEE, (2020)Peek-a-boo: i see your smart home activities, even encrypted!, , , , , , , , and . WISEC, page 207-218. ACM, (2020)FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks., , , , and . ACSAC, page 647-661. ACM, (2023)