About Me

I am a Postdoctoral Researcher at Inria, working with the CAPSULE Team in Rennes, France, under the supervision of Prof. Pierre-Alain Fouque and Dr. Yixin Shen. My core research focus is privacy-preserving computation and post-quantum cryptography — building secure, efficient protocols using Fully Homomorphic Encryption (FHE), Secure Multi-Party Computation (MPC), and Zero-Knowledge Proofs (ZKPs), grounded in strong mathematical foundations.

My research spans the design and analysis of FHE-based and MPC-based cryptographic schemes, verifiable computation, post-quantum digital signatures, and their real-world applicability in areas such as cloud security, privacy-preserving machine learning, and secure data sharing. During my time working at QNu Labs, I also gained industry exposure to NIST PQC standards (ML-KEM, ML-DSA) and worked on related implementation and analysis tasks — broadening my perspective on the gap between theory and deployment.

I completed my Ph.D. in Mathematics at MNNIT Allahabad (Prayagraj) (2022–2025) and was selected as one of three global laureates for the Post-Quantum Algebraic Cryptography trimester at the Institut Henri Poincaré, Paris. I am also an alumnus of the Mathematics Training and Talent Search (MTTS) programme — an experience that deeply shaped my love for mathematical thinking and exposition.

Beyond research, I genuinely love teaching. I find great joy in making deep mathematical and cryptographic ideas accessible — from undergraduate classrooms to international workshops. The MTTS pedagogy of inquiry-based, student-centred learning has been a lasting influence on my teaching methodology, and I continue to bring that spirit into every lecture, seminar, and mentoring interaction.

Education

Experience

Technical Skills

Research Publications

  1. 2025. Upadhyay, R.R., Padhye, S., Sahu, R.A., Saraswat, V.
    Towards Privacy and Integrity: SNARK-Driven Verifiable FHE for Outsourced Computation.
    ACNS 2025 Workshops. Springer LNCS.
  2. 2025. Upadhyay, R.R., Padhye, S., Saraswat, V.
    A Non-Interactive and Dynamic Multi-Party FHE Scheme Based on FHEW.
    Peer-to-Peer Networking and Applications. (SCIE).
  3. 2025. Upadhyay, R.R., Padhye, S.
    A Non-Interactive and Secure Dynamic Multi-Party FHE Scheme.
    International Journal of Information Security. (SCIE).
  4. 2025. Kumar, R., Dabral, A., Upadhyay, R.R.
    Cryptanalysis of a Lattice-Based Blind Ring Signature Scheme.
    National Academy Science Letters. (SCIE).
  5. 2025. Upadhyay, R.R., Padhye, S.
    SoK: Digital Signatures from VOLEitH.
    Human-2025 Symposium. Best Paper Award.
  6. 2025. Upadhyay, R.R., Padhye, S.
    Privacy-Preserving Image Retrieval Based on Threshold Secret Sharing.
    Human-2025 Symposium.
  7. 2024. Upadhyay, R.R., Padhye, S.
    Efficient and Secure MPC Through Integration of FHE and Proxy Re-Encryption.
    SN Computer Science.
  8. 2024. Upadhyay, R.R., Padhye, S.
    Advancements in FHE over the Integers: A Comprehensive Survey and Analysis.
    Surveys in Mathematics and its Applications.
  9. 2023. Upadhyay, R.R., Padhye, S.
    Enhancing FHE Over the Integers: Beyond Binary Numbers and Batch Processing.
    ICCNSML 2023. Springer LNNS.
  10. 2023. Upadhyay, R.R., Padhye, S.
    Multi-Key Fully Homomorphic Encryption Scheme Over the Integers.
    REDCYSEC 2023. Springer LNNS.

Full list on Google Scholar.

Selected Invited Talks and Panels

Awards & Grants

Contact

Facebook Instagram Twitter

Institutional: rohitkumar.upadhyay@inria.fr

Personal: math4rohit@gmail.com