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- [1] Defending Deep Learning Models Against Adversarial Attacks INTERNATIONAL JOURNAL OF SOFTWARE SCIENCE AND COMPUTATIONAL INTELLIGENCE-IJSSCI, 2021, 13 (01): : 72 - 89
- [2] Defending Against Adversarial Attacks in Deep Neural Networks ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR MULTI-DOMAIN OPERATIONS APPLICATIONS, 2019, 11006
- [3] DEFENDING AGAINST ADVERSARIAL ATTACKS ON MEDICAL IMAGING AI SYSTEM, CLASSIFICATION OR DETECTION? 2021 IEEE 18TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 2021, : 1677 - 1681
- [4] Defending AI Models Against Adversarial Attacks in Smart Grids Using Deep Learning IEEE ACCESS, 2024, 12 : 157408 - 157417
- [8] PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch 2023 IEEE/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2023, : 4621 - 4630
- [9] Defending against Adversarial Attacks in Federated Learning on Metric Learning Model 2023 IEEE 22ND INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS, TRUSTCOM, BIGDATASE, CSE, EUC, ISCI 2023, 2024, : 197 - 206
- [10] Defending non-Bayesian learning against adversarial attacks Distributed Computing, 2019, 32 : 277 - 289