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2. Analyzing the robustness of fake-news detectors under black-box adversarial attacks;Ali;IEEE Access,2021
3. Con-detect: detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis;Ali;TechRXiv,2022
4. Has-nets: a heal and select mechanism to defend DNNs against backdoor attacks for data collection scenarios;Ali;arXiv preprint arXiv:2012.07474,2020
5. Obfuscated gradients give a false sense of security: Circumventing defenses to adversarial examples;Athalye,2018