Not So Robust After All: Evaluating the Robustness of Deep Neural Networks to Unseen Adversarial Attacks. - Roman Garaev; Bader Rasheed; Adil Khan 002 (CoRR, 2023)

Boosting Adversarial Training Using Robust Selective Data Augmentation. - Bader Rasheed; Asad Masood Khattak; Adil Khan 002; Stanislav I. Protasov; Muhammad Ahmad (Int. J. Comput. Intell. Syst., 2023)

Exploring the Impact of Conceptual Bottlenecks on Adversarial Robustness of Deep Neural Networks. - Bader Rasheed; Mohamed Abdelhamid; Adil Khan 001; Igor Menezes; Asad Masood Khattak (IEEE Access, 2024)

Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics. - Alexander Gushchin; Khaled Abud; Georgii Bychkov; Ekaterina Shumitskaya; Anna Chistyakova; Sergey Lavrushkin; Bader Rasheed; Kirill Malyshev; Dmitriy S. Vatolin; Anastasia Antsiferova (CoRR, 2024)

Not So Robust after All: Evaluating the Robustness of Deep Neural Networks to Unseen Adversarial Attacks. - Roman Garaev; Bader Rasheed; Adil Mehmood Khan (Algorithms, 2024)

Probe-Assisted Fine-Grained Control for Non-Differentiable Features in Symbolic Music Generation. - Rafik Hachana; Bader Rasheed (IEEE Access, 2025)

Self-Supervised Learning for Precise Individual Tree Segmentation in Airborne LiDAR Point Clouds. - Lama Shaheen; Bader Rasheed; Manuel Mazzara (IEEE Access, 2025)