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Muhammad Suleman  Khan
Muhammad Suleman Khan
Information Technology University, Lahore
在 itu.edu.pk 的电子邮件经过验证
标题
引用次数
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All Your Fake Detector Are Belong to Us: Evaluating Adversarial Robustness of Fake-news Detectors Under Black-Box Settings
H Ali, MS Khan, A AlGhadhban, M Alazmi, A Alzamil, K Al-Utaibi, J Qadir
IEEE Access 9, 81678-81692, 2021
422021
Tamp-X: Attacking explainable natural language classifiers through tampered activations
H Ali, MS Khan, A Al-Fuqaha, J Qadir
Computers & Security 120, 102791, 2022
132022
Con-detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis
H Ali, MS Khan, A AlGhadhban, M Alazmi, A Alzamil, K Al-utaibi, J Qadir
Computers & Security 132, 103367, 2023
62023
Analyzing the robustness of fake-news detectors under black-box adversarial attacks
H Ali, MS Khan, A Alghadhban, M Alazmi, A Alzamil, K Al-utaibi, J Qadir
IEEE Access, 2021
62021
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