82 citations · 112 across the 5 of their papers we have counts for
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cs.CR2026
A Multi-Model Hybrid Defense Approach Against White-box Adversarial Attacks in Computer Network Traffic
Khushnaseeb Roshan
It is crucial to safeguard computer networks from evolving network security threats and unknown cyberattacks. An essential tool for protecting computer networks against unknown cyb…
cs.CR2024★ 23 cited
Black-box Adversarial Transferability: An Empirical Study in Cybersecurity Perspective
Khushnaseeb Roshan, Aasim Zafar
The rapid advancement of artificial intelligence within the realm of cybersecurity raises significant security concerns. The vulnerability of deep learning models in adversarial at…
cs.CR2023★ 7 cited
A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks
Khushnaseeb Roshan, Aasim Zafar, Shiekh Burhan Ul Haque
Network Intrusion Detection System (NIDS) is an essential tool in securing cyberspace from a variety of security risks and unknown cyberattacks. A number of solutions have been imp…