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AuthentiSense: A Scalable Behavioral Biometrics Authentication Scheme using Few-Shot Learning for Mobile Platforms

, , , , , , , и . To appear at the Network and Distributed System Security Symposium (NDSS), (2023)

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BayBFed: Bayesian Backdoor Defense for Federated Learning., , , , и . SP, стр. 737-754. IEEE, (2023)DÏoT: A Federated Self-learning Anomaly Detection System for IoT., , , , , и . ICDCS, стр. 756-767. IEEE, (2019)Secure Message Delivery Games for Device-to-Device Communications., , , и . GameSec, том 8840 из Lecture Notes in Computer Science, стр. 195-215. Springer, (2014)AuthentiSense: A Scalable Behavioral Biometrics Authentication Scheme using Few-Shot Learning for Mobile Platforms., , , , , , , и . NDSS, The Internet Society, (2023)FLAME: Taming Backdoors in Federated Learning., , , , , , , , , и 3 other автор(ы). USENIX Security Symposium, стр. 1415-1432. USENIX Association, (2022)ANASTASIA: ANdroid mAlware detection using STatic analySIs of Applications., , , и . NTMS, стр. 1-5. IEEE, (2016)SAFELearn: Secure Aggregation for private FEderated Learning., , , , , , , , , и 1 other автор(ы). SP (Workshops), стр. 56-62. IEEE, (2021)FLGUARD: Secure and Private Federated Learning., , , , , , , , , и 1 other автор(ы). IACR Cryptol. ePrint Arch., (2021)ARGUS: Context-Based Detection of Stealthy IoT Infiltration Attacks., , , , , и . USENIX Security Symposium, стр. 4301-4318. USENIX Association, (2023)DEMASQ: Unmasking the ChatGPT Wordsmith., , , и . NDSS, The Internet Society, (2024)