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Generating Deep Learning Model-Specific Explanations at the End User's Side.

, , , and . Int. J. Uncertain. Fuzziness Knowl. Based Syst., 30 (Supplement-2): 255-278 (December 2022)

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Efficient Detection of Byzantine Attacks in Federated Learning Using Last Layer Biases., , , and . MDAI, volume 12256 of Lecture Notes in Computer Science, page 154-165. Springer, (2020)Generating Deep Learning Model-Specific Explanations at the End User's Side., , , and . Int. J. Uncertain. Fuzziness Knowl. Based Syst., 30 (Supplement-2): 255-278 (December 2022)An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata., , , , and . CoRR, (2023)Co-Utile Peer-to-Peer Decentralized Computing., , , and . CCGRID, page 31-40. IEEE, (2020)Digital Forgetting in Large Language Models: A Survey of Unlearning Methods., , , , , , and . CoRR, (2024)FL-Defender: Combating Targeted Attacks in Federated Learning., and . CoRR, (2022)Measuring Fairness in Machine Learning Models via Counterfactual Examples., , , and . MDAI, volume 13408 of Lecture Notes in Computer Science, page 119-131. Springer, (2022)Defending against the Label-flipping Attack in Federated Learning., , , and . CoRR, (2022)Detecting Bad Answers in Survey Data Through Unsupervised Machine Learning., , , , , and . PSD, volume 12276 of Lecture Notes in Computer Science, page 309-320. Springer, (2020)Enhanced Security and Privacy via Fragmented Federated Learning., , , and . CoRR, (2022)