All Your Fake Detector are Belong to Us: Evaluating Adversarial Robustness of Fake-News Detectors Under Black-Box Settings. - Hassan Ali 001; Muhammad Suleman Khan; Amer AlGhadhban; Meshari Alazmi; Ahmad Alzamil; Khaled Abdul-Aziz Al-Utaibi; Junaid Qadir 001 (IEEE Access, 2021)

Tamp-X: Attacking explainable natural language classifiers through tampered activations. - Hassan Ali 001; Muhammad Suleman Khan; Ala I. Al-Fuqaha; Junaid Qadir 001 (Comput. Secur., 2022)

Machine Learning based human recognition via robust Features from audio signals. - Umar Sadique; Muhammad Suleman Khan; Shahzad Anwar; Mehran Ahmad (ICAI, 2023)

Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis. - Hassan Ali 001; Muhammad Suleman Khan; Amer AlGhadhban; Meshari Alazmi; Ahmed Alzamil; Khaled Al-Utaibi; Junaid Qadir 001 (Comput. Secur., 2023)