A new approach to interdomain routing based on secure multi-party computation. - Debayan Gupta; Aaron Segal; Aurojit Panda; Gil Segev 001; Michael Schapira; Joan Feigenbaum; Jennifer Rexford; Scott Shenker (HotNets, 2012)

Reuse It Or Lose It: More Efficient Secure Computation Through Reuse of Encrypted Values. - Benjamin Mood; Debayan Gupta; Kevin R. B. Butler; Joan Feigenbaum (CCS, 2014)

Practical and Privacy-Preserving Policy Compliance for Outsourced Data. - Giovanni Di Crescenzo; Joan Feigenbaum; Debayan Gupta; Euthimios Panagos; Jason Perry; Rebecca N. Wright (Financial Cryptography Workshops, 2014)

Systematizing Secure Computation for Research and Decision Support. - Jason Perry; Debayan Gupta; Joan Feigenbaum; Rebecca N. Wright (SCN, 2014)

Frigate: A Validated, Extensible, and Efficient Compiler and Interpreter for Secure Computation. - Benjamin Mood; Debayan Gupta; Henry Carter; Kevin R. B. Butler; Patrick Traynor (EuroS&P, 2016)

Using Intel Software Guard Extensions for Efficient Two-Party Secure Function Evaluation. - Debayan Gupta; Benjamin Mood; Joan Feigenbaum; Kevin R. B. Butler; Patrick Traynor (Financial Cryptography Workshops, 2016)

Trenchcoat: Human-Computable Hashing Algorithms for Password Generation. - Ruthu Hulikal Rooparaghunath; T. S. Harikrishnan; Debayan Gupta (CANS, 2020)

An Alternative to India's Reservation Policy: A Unified Framework for Rigorous and Adaptive Measurement of Socio-Economic Status. - Dhruv Sinha; Ojas Sahasrabudhe; Dhruv Agarwal 001; Debayan Gupta (COMPASS, 2020)

Poster: FLATEE: Federated Learning Across Trusted Execution Environments. - Arup Mondal; Yash More; Ruthu Hulikal Rooparaghunath; Debayan Gupta (EuroS&P, 2021)

Differential Euler: Designing a Neural Network approximator to solve the Chaotic Three Body Problem. - Pratyush Kumar; Aishwarya Das; Debayan Gupta (CoRR, 2021)

S++: A Fast and Deployable Secure-Computation Framework for Privacy-Preserving Neural Network Training. - Prashanthi Ramachandran; Shivam Agarwal; Arup Mondal; Aastha Shah; Debayan Gupta (CoRR, 2021)

Flatee: Federated Learning Across Trusted Execution Environments. - Arup Mondal; Yash More; Ruthu Hulikal Rooparaghunath; Debayan Gupta (CoRR, 2021)

NEUROCRYPT: Coercion-Resistant Implicit Memory Authentication (Student Abstract). - Ritul Satish; Niranjan Rajesh; Argha Chakrabarty; Aditi Jain; Sristi Bafna; Arup Mondal; Debayan Gupta (AAAI, 2022)

ContextCLIP: Contextual Alignment of Image-Text pairs on CLIP visual representations. - Chanda Grover; Indra Deep Mastan; Debayan Gupta (ICVGIP, 2022)

Scotch: An Efficient Secure Computation Framework for Secure Aggregation. - Arup Mondal; Yash More; Prashanthi Ramachandran; Priyam Panda; Harpreet Virk; Debayan Gupta (CoRR, 2022)

BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning. - Arup Mondal; Harpreet Virk; Debayan Gupta (CoRR, 2022)

Generating Synthetic Population. - Bhavesh Neekhra; Kshitij Kapoor; Debayan Gupta (CoRR, 2022)

India's "Aadhaar" Biometric ID: Structure, Security, and Vulnerabilities. - Pratyush Ranjan Tiwari; Dhruv Agarwal 001; Prakhar Jain; Swagam Dasgupta; Preetha Datta; Vineet Reddy; Debayan Gupta (IACR Cryptol. ePrint Arch., 2022)

SEM-CS: Semantic Clipstyler for Text-Based Image Style Transfer. - Chanda Grover Kamra; Indra Deep Mastan; Debayan Gupta (ICIP, 2023)

Synthpop++: A Hybrid Framework for Generating A Country-scale Synthetic Population. - Bhavesh Neekhra; Kshitij Kapoor; Debayan Gupta (CoRR, 2023)

RANDGENER: Distributed Randomness Beacon from Verifiable Delay Function. - Arup Mondal; Ruthu Hulikal Rooparaghunath; Debayan Gupta (CoRR, 2023)

Tight Short-Lived Signatures. - Arup Mondal; Ruthu Hulikal Rooparaghunath; Debayan Gupta (CoRR, 2023)

Developmental Pretraining (DPT) for Image Classification Networks. - Niranjan Rajesh; Debayan Gupta (CoRR, 2023)

Fast and Secure Oblivious Stable Matching over Arithmetic Circuits. - Arup Mondal; Priyam Panda; Shivam Agarwal; Abdelrahaman Aly; Debayan Gupta (IACR Cryptol. ePrint Arch., 2023)

Simsam: Simple Siamese Representations Based Semantic Affinity Matrix for Unsupervised Image Segmentation. - Chanda Grover Kamra; Indra Deep Mastan; Nitin Kumar 003; Debayan Gupta (ICIP, 2024)

Non Parametric Aleatoric Uncertainty Quantification with Neural Networks. - Kshitij Kapoor; Debayan Gupta (Tiny Papers @ ICLR, 2024)

Visual Concept Networks: A Graph-Based Approach to Detecting Anomalous Data in Deep Neural Networks. - Debargha Ganguly; Debayan Gupta; Vipin Chaudhary (ICPRAI (1), 2024)

Improving text-conditioned latent diffusion for cancer pathology. - Aakash Madhav Rao; Debayan Gupta (CoRR, 2024)

Attacking Automotive RKE Security: How Smart are your 'Smart' Keys? - Ritul Satish; Alfred Daimari; Argha Chakrabarty; Kahaan Shah; Debayan Gupta (IACR Cryptol. ePrint Arch., 2024)

BharatSim: An agent-based modelling framework for India. - Philip Cherian; Jayanta Kshirsagar; Bhavesh Neekhra; Gaurav Deshkar; Harshal Hayatnagarkar; Kshitij Kapoor; Chandrakant Kaski; Ganesh Kathar; Swapnil Khandekar; Saurabh Mookherjee; Praveen Ninawe; Riz Fernando Noronha; et al. (PLoS Comput. Biol., 2024)

ObjMST: Object-focused multimodal style transfer. - Chanda Grover Kamra; Indra Deep Mastan; Debayan Gupta (Pattern Recognit. Lett., 2025)

ObjMST: An Object-Focused Multimodal Style Transfer Framework. - Chanda Grover Kamra; Indra Deep Mastan; Debayan Gupta (CoRR, 2025)

On the (In)Significance of Feature Selection in High-Dimensional Datasets. - Bhavesh Neekhra; Debayan Gupta; Partha Pratim Chakravarti (CoRR, 2025)