Complete Publication List: For my full publication record, please visit my Google Scholar profile.

Featured Work: Selected publications of my work in machine learning, computer vision, with applications in sustainability and healthcare. Entries with the highlighted background mark my representative works.

JOURNAL PUBLICATIONS

Figure for Cui et al., 2025

"OtoSTVT: A Diagnostic-Driven Frame Selection Method for Otoscopy Videos Using Spatio-Temporal Transformers" Under Review, Biomedical Signal Processing and Control Jounral. 2025

Debashis Gupta†,◊, Seda Camalen†, Hao Lu‡, Sean Catley, Aaron Moberly, Metin Nafi Gurcan

Figure for Camalan et al., 2022

"Vulnerability in deep transfer learning models to adversarial fast gradient sign attack for covid-19 prediction from chest radiography images" Applied Science, 2021

Debashis Gupta†, Biprodip Pal†, Md Rashed-Al-Mahfuz, Salem A Alyami, Mohammad Ali Moni‡

Github-Vulnerabilities

CONFERENCE PUBLICATIONS AND WORKSHOP

Figure for Debashis et al., 2025

"Interpretable Failure Analysis in Multi-Agent Reinforcement Learning Systems" in Proc AAMAS, 2026

Debashis Gupta†, Risal S. Shefin † Thai Le, Sarra Alqahtani‡

AAMAS - AAMAS'25
Figure for Debashis et al., 2025

"Safe, Trust Region Policy Optimization for Constrained Reinforcement Learning" in Proc NeurIPS (ARLET), 2025

Md Asifur Rahman, Risal Shahriar Shefin, Debashis Gupta, Sarra Alqahtani‡

NeurIPS - ARLET'25
Figure for Gupta et al., 2024

"Security Threats on Data-Driven Approaches for Luggage Screening" in IEEE Computing and Communication Workshop and Conference (CCWC), 2024

Debashis Gupta†‡, Aditi Golder, K. D. Gupta, D. Dasgupta, R. George, K. Shujaee

CCWC - CCWC'24
Figure for Gupta et al., 2023

"CervixMed: Detecting Cervical Cancer Based on Combinational Data Using Hybrid Architecture" in International Conference on Digital Image Computing: Techniques and Applications, 2023

Debashis Gupta†‡, Aditi Golder,M. M. Haque, M. A. Moni

DICTA - DICTA'23
Figure for Gupta et al., 2021

"Classification of Tumor Cell Using a Naive Convolutional Neural Network Model" in International Conference on Machine Intelligence and Emerging Technologies, 2022

Debashis Gupta†‡, Syed Rahat Hassan, Renu Gupta, Urmi Saha, Mohammed Sowket Ali

MIET - MIET'22
Figure for Gupta et al., 2021

"Vulnerability Analysis and Robust Training with Additive Noise for FGSM Attack on Transfer Learning-Based Brain Tumor Detection" in International Conference on Big Data, IoT, and Machine Learning, 2021

Debashis Gupta†‡, B. Pal

BIM - BIM'21

† indicates the first authorship, ‡ indicates the correspondence, ◊ indicates work during internship.