Arup Mondal (অরূপ মন্ডল)

Visiting PhD Student, TU Darmstadt,
PhD Student, Ashoka University

Hello,

Welcome to my webpage!

I'm Arup Mondal, fifth-year Ph.D. student in the Department of Computer Science at Ashoka University, advised by Dr. Debayan Gupta. I am also a visiting Ph.D. student (Septermber 2024 - Current) at the Technical University of Darmstadt (TU Darmstadt) in the Applied Cryptography Lab, working under the guidance of Dr. Sebastian Faust. My research has also greatly benefited from insightful technical contributions by Dr. Sikhar Patranabis from IBM Research India.

Previously, I spent time as a visiting Ph.D. student (November 2023 - September 2024) at the Center for Information Security and Trust (CISAT) at IT University of Copenhagen, where I am advised by Dr. Bernardo David. Before that, I gained valuable research experience as an intern (January 2023 - March 2023) at Technology Innovation Institute (TII) in the Crypto Research Center, working under the supervision of Dr. Abdelrahaman Aly.

I completed my master’s degree in Computer Science at Banaras Hindu University, working with Prof. Swapan Kumar Basu on some aspects of Computer Architecture. My undergraduate degree was in Computer Science from Ramakrishna Mission Residential College, Narendrapur.

For more details, please take a look at my CV.

Research Interests:

My primary area of interest is the theory and design of secure cryptographic schemes for Applied and Verifiable Cryptography. In addition to this, I have a great deal of interest in cryptographic delay functions.

Contact Details:

Preprints/Manuscript

                             * indicates authors listed in alphabetical order following the Hardy-Littlewood rule.

  1. NEUROCRYPT: A Multimodal Coercion-Resistant Implicit Memory Authentication System [ePrint]

    2. Ritul Satish, Niranjan Rajesh, Sristi Bafna, Arup Mondal, Khushi Mohta, Aditi Jain, Argha Chakrabarty, and Debayan Gupta


  2. * Fast Private Certifier Intersection [ePrint]

    3. Nakul Khambhati, Arup Mondal, Sikhar Patranabis, Akash Shah


  3. Originator Tracing in End-to-End Encrypted Messaging [ePrint]

    4. Arup Mondal, Archisman Dutta, Debayan Gupta


  4. * Threshold Searchable Symmetric Encryption [ePrint]

    5. Arup Mondal, Pratyay Mukherjee, Sikhar Patranabis


  5. * Detecting Rogue Decryption in (Threshold) Encryption via Self-Incriminating Proofs [ePrint]

    6. James Hsin-yu Chiang, Bernardo David, Tore Kasper Frederiksen, Arup Mondal, Esra Yeniaras


  6. Fast and Secure Oblivious Stable Matching over Arithmetic Circuits [ePrint]

    7. Arup Mondal, Priyam Panda, Shivam Agarwal, Abdelrahaman Aly, Debayan Gupta

Publications

                             * indicates authors listed in alphabetical order following the Hardy-Littlewood rule.

  1. Poster: Attestor -- Simple Proof-of-Storage-Time [Proceeding]

    2. Arup Mondal

    ACM SIGSAC Conference on Computer and Communications Security (CCS), 2023


  2. Poster: RANDGENER: Distributed Randomness Beacon from Verifiable Delay Function [Paper]

    3. Arup Mondal, Ruthu Hulikal Rooparaghunath, Debayan Gupta

    IEEE European Symposium on Security and Privacy, 2023


  3. Poster: Tight Short-Lived Signatures [Paper]

    4. Arup Mondal, Ruthu Hulikal Rooparaghunath, Debayan Gupta

    IEEE European Symposium on Security and Privacy, 2023


  4. NEUROCRYPT: Coercion-Resistant Implicit Memory Authentication (Student Abstract) [Paper]

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

    AAAI Conference on Artificial Intelligence 2022


  5. Poster: Fully Homomorphic Secret Sharing with Output Verifiability [Paper]

    6. Arup Mondal, Pratyush Ranjan Tiwari, Debayan Gupta

    Network and Distributed System Security (NDSS) Symposium 2022


  6. BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning [Paper]

    7. Arup Mondal, Harpreet Virk, Debayan Gupta

    AAAI-22 Workshop on Privacy-Preserving Artificial Intelligence (PPAI-22)


  7. SCOTCH: An Efficient Secure Computation Framework for Secure Aggregation [Paper]

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

    AAAI-22 Workshop on Privacy-Preserving Artificial Intelligence (PPAI-22)


  8. Poster: FLATEE: Federated Learning Across Trusted Execution Environments [Paper] [Proceeding]

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

    IEEE European Symposium on Security and Privacy, 2021


  9. S++: A Fast and Deployable Secure-Computation Framework for Privacy-Preserving Neural Network Training [Paper]

    10. Prashanthi Ramachandran, Shivam Agarwal, Arup Mondal, Aastha Shah, Debayan Gupta

    AAAI-21 Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21)

Talks

  • Accountability for Threshold Decryption. NordiCrypt Spring 2024, Denamrk (Seminar Talk).

Teaching

Service