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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).

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Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy., , , , и . CoRR, (2019)A modified fireworks algorithm with dynamic search interval based on closed-loop control., , , , и . Math. Comput. Simul., (2022)A Framework for Evaluating Gradient Leakage Attacks in Federated Learning., , , , , , и . CoRR, (2020)Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy., , , , и . IEEE Trans. Dependable Secur. Comput., 18 (5): 2365-2378 (2021)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).Adversarial Deception in Deep Learning: Analysis and Mitigation., , , , , , и . TPS-ISA, стр. 236-245. IEEE, (2020)Invisible Watermarking for Audio Generation Diffusion Models., , , , , , и . TPS-ISA, стр. 193-202. IEEE, (2023)Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness., , , , , , и . MASS, стр. 274-282. IEEE, (2019)Cross-Layer Strategic Ensemble Defense Against Adversarial Examples., , , , , , и . ICNC, стр. 456-460. IEEE, (2020)Demo: Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning., , , , , , , , и . ICDCS, стр. 1431-1434. IEEE, (2024)