An Approach of Using OS Through Cloud Computing. - Devansh Gupta (ICCA, 2017)

A new approach of authentication in graphical systems using ASCII submission of values. - Devansh Gupta (IWCMC, 2017)

Correlation Power Analysis on KASUMI: Attack and Countermeasure. - Devansh Gupta; Somanath Tripathy; Bodhisatwa Mazumdar (SPACE, 2018)

Correlation Power Analysis of KASUMI and Power Resilience Analysis of Some Equivalence Classes of KASUMI S-Boxes. - Devansh Gupta; Somanath Tripathy; Bodhisatwa Mazumdar (J. Hardw. Syst. Secur., 2020)

Campus safety and the internet of wearable things: assessing student safety conditions on campus while riding a smart scooter. - Devansh Gupta; Wenyao Xu; Xiong Bill Yu; Ming-Chun Huang (BSN, 2021)

Contrastive Personalization Approach to Suspect Identification (Student Abstract). - Devansh Gupta; Drishti Bhasin; Sarthak Bhagat; Shagun Uppal; Ponnurangam Kumaraguru; Rajiv Ratn Shah (AAAI, 2022)

Stochastic Differentially Private and Fair Learning. - Andrew Lowy; Devansh Gupta; Meisam Razaviyayn (AFCP, 2022)

Time-Frequency and Geometric Analysis of Task-Dependent Learning in Raw Waveform Based Acoustic Models. - Devansh Gupta; Vinayak Abrol (ICASSP, 2022)

FaIRCoP: Facial Image Retrieval using Contrastive Personalization. - Devansh Gupta; Aditya Saini; Drishti Bhasin; Sarthak Bhagat; Shagun Uppal; Rishi Raj Jain; Ponnurangam Kumaraguru; Rajiv Ratn Shah (CoRR, 2022)

A Suspect Identification Framework using Contrastive Relevance Feedback. - Devansh Gupta; Aditya Saini; Sarthak Bhagat; Shagun Uppal; Rishi Raj Jain; Drishti Bhasin; Ponnurangam Kumaraguru; Rajiv Ratn Shah (WACV, 2023)

Python-based DSL for generating Verilog model of Synchronous Digital Circuits. - Mandar Datar 001; Dhruva S. Hegde; Vendra Durga Prasad; Manish Prajapati; Neralla Manikanta; Devansh Gupta; Janampalli Pavanija; Pratyush Pare; Akash; Shivam Gupta; Sachin B. Patkar (CoRR, 2024)

A Stochastic Optimization Framework for Private and Fair Learning From Decentralized Data. - Devansh Gupta; A. S. Poornash; Andrew Lowy; Meisam Razaviyayn (CoRR, 2024)

Enhancing brain tumor detection in MRI with a rotation invariant Vision Transformer. - Palani Thanaraj Krishnan; Pradeep Krishnadoss; Mukund Khandelwal; Devansh Gupta; Anupoju Nihaal; T. Sunil Kumar (Frontiers Neuroinformatics, 2024)

On the Inherent Privacy of Zeroth-Order Projected Gradient Descent. - Devansh Gupta; Meisam Razaviyayn; Vatsal Sharan (AISTATS, 2025)

Memory-Efficient Differentially Private Training with Gradient Random Projection. - Alex Mulrooney; Devansh Gupta; James Flemings; Huanyu Zhang; Murali Annavaram; Meisam Razaviyayn; Xinwei Zhang (CoRR, 2025)