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ORCIDShoumik Saha
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2020 – today
- 2025
[c6]Shoumik Saha, Soheil Feizi:
Almost AI, Almost Human: The Challenge of Detecting AI-Polished Writing. ACL (Findings) 2025: 25414-25431- [c5]Kazi Tasnim Zinat, Saad Mohammad Abrar, Shoumik Saha, Sharmila Duppala, Saimadhav Naga Sakhamuri, Zhicheng Liu:
ProcVQA: Benchmarking the Effects of Structural Properties in Mined Process Visualizations on Vision-Language Model Performance. EMNLP (Findings) 2025: 23316-23348 - [c4]Yigitcan Kaya, Yizheng Chen, Marcus Botacin, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro
, David A. Wagner, Tudor Dumitras:
ML-Based Behavioral Malware Detection Is Far From a Solved Problem. SaTML 2025: 921-940 - [i8]Shoumik Saha, Soheil Feizi:
Almost AI, Almost Human: The Challenge of Detecting AI-Polished Writing. CoRR abs/2502.15666 (2025) - [i7]Yize Cheng, Vinu Sankar Sadasivan, Mehrdad Saberi, Shoumik Saha, Soheil Feizi:
Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text. CoRR abs/2506.07001 (2025) - [i6]Shoumik Saha, Jifan Chen, Sam Mayers, Sanjay Krishna Gouda, Zijian Wang, Varun Kumar:
Breaking the Code: Security Assessment of AI Code Agents Through Systematic Jailbreaking Attacks. CoRR abs/2510.01359 (2025) - 2024
- [j1]Shoumik Saha, Sadia Afroz, Atif Hasan Rahman:
MAlign: Explainable static raw-byte based malware family classification using sequence alignment. Comput. Secur. 139: 103714 (2024) - [c3]Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi, Tudor Dumitras:
DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness. ICLR 2024 - [c2]Vinu Sankar Sadasivan, Shoumik Saha, Gaurang Sriramanan, Priyatham Kattakinda, Atoosa Malemir Chegini, Soheil Feizi:
Fast Adversarial Attacks on Language Models In One GPU Minute. ICML 2024: 42976-42998 - [c1]Gaurang Sriramanan, Siddhant Bharti, Vinu Sankar Sadasivan, Shoumik Saha, Priyatham Kattakinda, Soheil Feizi:
LLM-Check: Investigating Detection of Hallucinations in Large Language Models. NeurIPS 2024 - [i5]Vinu Sankar Sadasivan, Shoumik Saha, Gaurang Sriramanan, Priyatham Kattakinda, Atoosa Malemir Chegini, Soheil Feizi:
Fast Adversarial Attacks on Language Models In One GPU Minute. CoRR abs/2402.15570 (2024) - [i4]Yigitcan Kaya, Yizheng Chen, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro, David A. Wagner, Tudor Dumitras:
Demystifying Behavior-Based Malware Detection at Endpoints. CoRR abs/2405.06124 (2024) - 2023
- [i3]Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi:
Adversarial Robustness of Learning-based Static Malware Classifiers. CoRR abs/2303.13372 (2023) - [i2]Subangkar Karmaker Shanto, Shoumik Saha, Atif Hasan Rahman, Mohammad Mehedy Masud, Mohammed Eunus Ali:
Contrastive Self-Supervised Learning Based Approach for Patient Similarity: A Case Study on Atrial Fibrillation Detection from PPG Signal. CoRR abs/2308.02433 (2023) - 2021
- [i1]Shoumik Saha, Sadia Afroz, Atif Rahman:
MALIGN: Adversarially Robust Malware Family Detection using Sequence Alignment. CoRR abs/2111.14185 (2021)
Coauthor Index
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