MALIGN: Adversarially Robust Malware Family Detection using Sequence Alignment. - Shoumik Saha; Sadia Afroz; Atif Rahman 001 (CoRR, 2021)

Adversarial Robustness of Learning-based Static Malware Classifiers. - Shoumik Saha; Wenxiao Wang 002; Yigitcan Kaya; Soheil Feizi (CoRR, 2023)

Contrastive Self-Supervised Learning Based Approach for Patient Similarity: A Case Study on Atrial Fibrillation Detection from PPG Signal. - Subangkar Karmaker Shanto; Shoumik Saha; Atif Hasan Rahman 001; Mohammad Mehedy Masud; Mohammed Eunus Ali (CoRR, 2023)

DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness. - Shoumik Saha; Wenxiao Wang 002; Yigitcan Kaya; Soheil Feizi; Tudor Dumitras (ICLR, 2024)

Fast Adversarial Attacks on Language Models In One GPU Minute. - Vinu Sankar Sadasivan; Shoumik Saha; Gaurang Sriramanan; Priyatham Kattakinda; Atoosa Malemir Chegini; Soheil Feizi (ICML, 2024)

LLM-Check: Investigating Detection of Hallucinations in Large Language Models. - Gaurang Sriramanan; Siddhant Bharti; Vinu Sankar Sadasivan; Shoumik Saha; Priyatham Kattakinda; Soheil Feizi (NeurIPS, 2024)

MAlign: Explainable static raw-byte based malware family classification using sequence alignment. - Shoumik Saha; Sadia Afroz; Atif Hasan Rahman 001 (Comput. Secur., 2024)

Demystifying Behavior-Based Malware Detection at Endpoints. - Yigitcan Kaya; Yizheng Chen 001; Shoumik Saha; Fabio Pierazzi; Lorenzo Cavallaro; David A. Wagner 001; Tudor Dumitras (CoRR, 2024)

Almost AI, Almost Human: The Challenge of Detecting AI-Polished Writing. - Shoumik Saha; Soheil Feizi (ACL (Findings), 2025)

ML-Based Behavioral Malware Detection Is Far From a Solved Problem. - Yigitcan Kaya; Yizheng Chen 001; Marcus Botacin; Shoumik Saha; Fabio Pierazzi; Lorenzo Cavallaro; David A. Wagner 001; Tudor Dumitras (SaTML, 2025)

Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text. - Yize Cheng; Vinu Sankar Sadasivan; Mehrdad Saberi; Shoumik Saha; Soheil Feizi (CoRR, 2025)