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Closeness and Uncertainty Aware Adversarial Examples Detection in Adversarial Machine Learning.

, , and . CoRR, (2020)

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Practical Adversarial Attacks Against AI-Driven Power Allocation in a Distributed MIMO Network., , and . ICC, page 759-764. IEEE, (2023)Unreasonable Effectiveness of Last Hidden Layer Activations for Adversarial Robustness., , and . COMPSAC, page 1098-1103. IEEE, (2022)Closeness and Uncertainty Aware Adversarial Examples Detection in Adversarial Machine Learning., , and . CoRR, (2020)A Novel Method to Mitigate Adversarial Attacks on AI-Driven Power Allocation in D-MIMO., and . BlackSeaCom, page 336-341. IEEE, (2023)Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples., , and . Multim. Tools Appl., 81 (8): 11479-11500 (2022)TENET: a new hybrid network architecture for adversarial defense., , and . Int. J. Inf. Sec., 22 (4): 987-1004 (2023)AI-Powered Edge Computing Evolution for Beyond 5G Communication Networks., , , , , , , , , and 3 other author(s). EuCNC/6G Summit, page 478-483. IEEE, (2023)BOUN-ISIK Participation: An Unsupervised Approach for the Named Entity Normalization and Relation Extraction of Bacteria Biotopes., , and . BioNLP-OST@EMNLP-IJNCLP, page 150-157. Association for Computational Linguistics, (2019)A Flexible, Efficient and Robust Method for AI-driven Power Control in D-MIMO., and . MeditCom, page 56-61. IEEE, (2023)