Shoumik Saha

According to our database, Shoumik Saha authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Breaking the Code: Security Assessment of AI Code Agents Through Systematic Jailbreaking Attacks.

Shoumik Saha, Jifan Chen, Sam Mayers, Sanjay Krishna Gouda, Zijian Wang, Varun Kumar

CoRR, October, 2025

Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text.

Yize Cheng, Vinu Sankar Sadasivan, Mehrdad Saberi, Shoumik Saha, Soheil Feizi

CoRR, June, 2025

ML-Based Behavioral Malware Detection Is Far From a Solved Problem.

Yigitcan Kaya, Yizheng Chen, Marcus Botacin, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro, David A. Wagner, Tudor Dumitras

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2025

Almost AI, Almost Human: The Challenge of Detecting AI-Polished Writing.

Shoumik Saha, Soheil Feizi

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Demystifying Behavior-Based Malware Detection at Endpoints.

Yigitcan Kaya, Yizheng Chen, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro, David A. Wagner, Tudor Dumitras

CoRR, 2024

MAlign: Explainable static raw-byte based malware family classification using sequence alignment.

Shoumik Saha, Sadia Afroz, Atif Hasan Rahman

Comput. Secur., 2024

LLM-Check: Investigating Detection of Hallucinations in Large Language Models.

Gaurang Sriramanan, Siddhant Bharti, Vinu Sankar Sadasivan, Shoumik Saha, Priyatham Kattakinda, Soheil Feizi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness.

Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi, Tudor Dumitras

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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, Mohammad Mehedy Masud, Mohammed Eunus Ali

CoRR, 2023

Adversarial Robustness of Learning-based Static Malware Classifiers.

Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi

CoRR, 2023

2021

MALIGN: Adversarially Robust Malware Family Detection using Sequence Alignment.

Shoumik Saha, Sadia Afroz, Atif Rahman

CoRR, 2021