A Survey on Adversarial Attacks for Malware Analysis. - Kshitiz Aryal; Maanak Gupta; Mahmoud Abdelsalam (CoRR, 2021)

Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector. - Kshitiz Aryal; Maanak Gupta; Mahmoud Abdelsalam (IEEE Big Data, 2022)

Exploiting Windows PE Structure for Adversarial Malware Evasion Attacks. - Kshitiz Aryal; Maanak Gupta; Mahmoud Abdelsalam (CODASPY, 2023)

Using Machine Learning for Detection and Classification of Cyber Attacks in Edge IoT. - Elena Becker; Maanak Gupta; Kshitiz Aryal (EDGE, 2023)

From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy. - Maanak Gupta; Charankumar Akiri; Kshitiz Aryal; Eli Parker; Lopamudra Praharaj (IEEE Access, 2023)

Not All Malware are Born Equally: An Empirical Analysis of Adversarial Evasion Attacks in Relation to Malware Types and PE Files Structure. - Prabhath Mummaneni; Kshitiz Aryal; Mahmoud Abdelsalam; Maanak Gupta (IEEE Big Data, 2024)

Explainability Guided Adversarial Evasion Attacks on Malware Detectors. - Kshitiz Aryal; Maanak Gupta; Mahmoud Abdelsalam; Moustafa Saleh (ICCCN, 2024)

Explainability-Informed Targeted Malware Misclassification. - Quincy Card; Kshitiz Aryal; Maanak Gupta (ICCCN, 2024)

Explainable Deep Learning Models for Dynamic and Online Malware Classification. - Quincy Card; Daniel Simpson; Kshitiz Aryal; Maanak Gupta; Sheikh Rabiul Islam (SMARTCOMP, 2024)

Intra-Section Code Cave Injection for Adversarial Evasion Attacks on Windows PE Malware File. - Kshitiz Aryal; Maanak Gupta; Mahmoud Abdelsalam; Moustafa Saleh (CoRR, 2024)

SoK: Leveraging Transformers for Malware Analysis. - Pradip Kunwar; Kshitiz Aryal; Maanak Gupta; Mahmoud Abdelsalam; Elisa Bertino (CoRR, 2024)

A Survey on Adversarial Attacks for Malware Analysis. - Kshitiz Aryal; Maanak Gupta; Mahmoud Abdelsalam; Pradip Kunwar; Bhavani Thuraisingham (IEEE Access, 2025)