Arup Mondal

According to our database, Arup Mondal authored at least 13 papers between 2021 and 2023.

Collaborative distances:

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

2023

GENERALIST: A latent space based generative model for protein sequence families.

Hoda Akl, Brooke Emison, Xiaochuan Zhao, Arup Mondal, Alberto Perez, Purushottam D. Dixit

PLoS Comput. Biol., November, 2023

Structure Determination of Challenging Protein-Peptide Complexes Combining NMR Chemical Shift Data and Molecular Dynamics Simulations.

Arup Mondal, G. V. T. Swapna, Maria M. Lopez, Laura Klang, Jingzhou Hao, Lichung Ma, Monica J. Roth, Gaetano T. Montelione, Alberto Perez

J. Chem. Inf. Model., April, 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

Tight Short-Lived Signatures.

Arup Mondal, Ruthu Hulikal Rooparaghunath, Debayan Gupta

CoRR, 2023

RANDGENER: Distributed Randomness Beacon from Verifiable Delay Function.

Arup Mondal, Ruthu Hulikal Rooparaghunath, Debayan Gupta

CoRR, 2023

Poster: Attestor - Simple Proof-of-Storage-Time.

Arup Mondal

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

Towards rational computational peptide design.

Liwei Chang, Arup Mondal, Alberto Perez

Frontiers Bioinform., 2022

BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning.

Arup Mondal, Harpreet Virk, Debayan Gupta

CoRR, 2022

Scotch: An Efficient Secure Computation Framework for Secure Aggregation.

Arup Mondal, Yash More, Prashanthi Ramachandran, Priyam Panda, Harpreet Virk, Debayan Gupta

CoRR, 2022

NEUROCRYPT: Coercion-Resistant Implicit Memory Authentication (Student Abstract).

Ritul Satish, Niranjan Rajesh, Argha Chakrabarty, Aditi Jain, Sristi Bafna, Arup Mondal, Debayan Gupta

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Flatee: Federated Learning Across Trusted Execution Environments.

Arup Mondal, Yash More, Ruthu Hulikal Rooparaghunath, 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

Poster: FLATEE: Federated Learning Across Trusted Execution Environments.

Arup Mondal, Yash More, Ruthu Hulikal Rooparaghunath, Debayan Gupta

Proceedings of the IEEE European Symposium on Security and Privacy, 2021