Scalable secure computation
Designing MPC frameworks that make privacy-preserving computation over large, distributed graphs practical, through efficient protocols, data representations, and systems techniques.
Related publications PhD Candidate · IISc Bangalore
Building secure computation that works in practice.
I’m Bhavish Raj Gopal, an applied cryptography researcher working on secure multiparty computation, scalable privacy-preserving systems, and cryptographic protocol design.
01 / ABOUT
Research grounded in real-world constraints.
I am a PhD candidate in the Department of Computer Science and Automation at the Indian Institute of Science, Bangalore, advised by Prof. Arpita Patra.
My research combines cryptographic protocol design with systems implementation. I work on making secure multiparty computation (MPC) efficient and scalable, while understanding how security guarantees translate into practical implementations.
I have also collaborated with researchers at Aarhus University, Nokia Bell Labs, and Silence Laboratories. I hold an integrated BS–MS degree in Mathematics from IISER Mohali.
I expect to submit my PhD thesis in October 2026 and am exploring research opportunities in applied cryptography and privacy-preserving systems beginning in 2027.
CURRENT FOCUS
01Practical & scalable MPC
02Secure protocol design
03Privacy-preserving analytics
04Implementation-level security
02 / RESEARCH
Selected research directions.
From foundational protocols to systems that process real data.
Secure protocol design
Building efficient protocols that maintain privacy and correctness even when participants deviate from the prescribed computation, including secure shuffling and graph processing.
Related publicationsPrivate analytics & ML
Applying cryptographic techniques to graph neural networks, pattern matching, heavy hitters, and confidential reporting, with attention to end-to-end practicality.
Related publicationsImplementation-level security
Studying gaps between cryptographic security models and implementations, including auditing MPC frameworks and investigating leakage in MPC, garbled circuits, and FHE.
Research experience03 / UPDATES
Recent news.
Truffle will appear at ACM CCS 2026.
Completed a research visit at Aarhus University studying implementation-level security of cryptographic protocols.
Presented GraSP at RWMPC 2026 in Taipei.
Completed research at Nokia Bell Labs, Antwerp, on privacy-preserving audio processing.
04 / PUBLICATIONS
Publications & preprints.
Selected published work and publicly available preprints. Bhavish Raj Gopal is highlighted in each author list.
For the most up-to-date publication record, see Google Scholar ↗ or DBLP ↗.
05 / EXPERIENCE
Where I’ve worked.
Aarhus University · Visiting PhD Researcher
Studied implementation-level security of cryptographic protocols, including security auditing of MPC frameworks and leakage analysis in MPC, garbled circuits, and FHE.
Silence Laboratories · Research Intern
Worked on maliciously secure MPC protocols and co-developed privacy-preserving protocols for analytics over distributed financial transaction networks.
Nokia Bell Labs · Researcher
Designed an MPC-based secure audio-conferencing system, including privacy-preserving compression, decompression, and mixing under real-time performance constraints.
Indian Institute of Science · Research Associate
Indian Urban Data Exchange (IUDX) project.
EDUCATION
Indian Institute of Science, Bangalore
PhD, Computer Science and Automation · 2022–present
EDUCATION
IISER Mohali
Integrated BS–MS, Mathematics · 2016–2021
06 / Codebases
OPEN RESEARCH / CODE
The work behind the papers.
My research involves implementing networked MPC systems, optimizing cryptographic protocols, and benchmarking across machine, graph, and network configurations. Public implementations and research artifacts are collected in the CRiS-MPC repository.
Explore CRiS-MPC on GitHub07 / TALKS
Selected talks.
Recordings of selected presentations on privacy-preserving computation and graph analytics.
GraSP: Secure Collaborative Graph Processing Made Scalable
Real World MPC 2026, Taipei, Taiwan
Secure Graph Computation
MPC Retreat 2026, IISc, Bangalore
Privacy-Preserving Graph Analysis: The Journey So Far and the Way Ahead
COSIC Seminar - 2025
Graphiti: Secure Graph Computation Made More Scalable
NIST Workshop on Privacy-Enhancing Cryptography (WPEC 2024) · Talk begins at 1:10:24