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ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain.

, , , , , and . WWW, page 2807-2816. ACM, (2024)

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Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy., , , , and . CoRR, (2019)Adversarial Resilient and Privacy Preserving Deep learning.. Georgia Institute of Technology, Atlanta, GA, USA, (2023)base-search.net (ftgeorgiatech:oai:repository.gatech.edu:1853/72437).Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy., , , , and . IEEE Trans. Dependable Secur. Comput., 18 (5): 2365-2378 (2021)Model Cloaking against Gradient Leakage., , , , and . ICDM, page 1403-1408. IEEE, (2023)Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats., , , und . SmartNets, Seite 1-8. IEEE, (2023)Adversarial Deception in Deep Learning: Analysis and Mitigation., , , , , , und . TPS-ISA, Seite 236-245. IEEE, (2020)Invisible Watermarking for Audio Generation Diffusion Models., , , , , , und . TPS-ISA, Seite 193-202. IEEE, (2023)A modified fireworks algorithm with dynamic search interval based on closed-loop control., , , , und . Math. Comput. Simul., (2022)A Framework for Evaluating Gradient Leakage Attacks in Federated Learning., , , , , , und . CoRR, (2020)Gradient-Leakage Resilient Federated Learning., , , , und . ICDCS, Seite 797-807. IEEE, (2021)