Arup Mondal

Orcid: 0000-0002-2281-6647

According to our database1, Arup Mondal authored at least 20 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Loop Plasticity Drives Paralog-Specific Recognition in BET ET Domains.
J. Chem. Inf. Model., 2026

Traceable Threshold Batch Encryption with Applications to Enhancing Mempool Privacy.
Proceedings of the ACM Asia Conference on Computer and Communications Security, 2026

2025
Non-Interactive Threshold Mercurial Signatures with Applications to Threshold DAC.
IACR Cryptol. ePrint Arch., 2025

Weighted Batched Threshold Encryption with Applications to Mempool Privacy.
IACR Cryptol. ePrint Arch., 2025

Silent Threshold Traitor Tracing & Enhancing Mempool Privacy.
Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 2025

Rumors MPC: GOD for Dynamic Committees, Low Communication via Constant-Round Chat.
Proceedings of the Advances in Cryptology - ASIACRYPT 2025, 2025

2024
Detecting Rogue Decryption in (Threshold) Encryption via Self-Incriminating Proofs.
IACR Cryptol. ePrint Arch., 2024

2023
GENERALIST: A latent space based generative model for protein sequence families.
PLoS Comput. Biol., November, 2023

Structure Determination of Challenging Protein-Peptide Complexes Combining NMR Chemical Shift Data and Molecular Dynamics Simulations.
J. Chem. Inf. Model., April, 2023

Fast and Secure Oblivious Stable Matching over Arithmetic Circuits.
IACR Cryptol. ePrint Arch., 2023

Tight Short-Lived Signatures.
CoRR, 2023

RANDGENER: Distributed Randomness Beacon from Verifiable Delay Function.
CoRR, 2023

Poster: Attestor - Simple Proof-of-Storage-Time.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022
Towards rational computational peptide design.
Frontiers Bioinform., 2022

BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning.
CoRR, 2022

Scotch: An Efficient Secure Computation Framework for Secure Aggregation.
CoRR, 2022

NEUROCRYPT: Coercion-Resistant Implicit Memory Authentication (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Flatee: Federated Learning Across Trusted Execution Environments.
CoRR, 2021

S++: A Fast and Deployable Secure-Computation Framework for Privacy-Preserving Neural Network Training.
CoRR, 2021

Poster: FLATEE: Federated Learning Across Trusted Execution Environments.
Proceedings of the IEEE European Symposium on Security and Privacy, 2021


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