🔍Research Experience

March 2025 - April 2025 : Research Institute on the Foundations of Computer Science (IRIF) - Paris Cité University, Paris

Topic: "Pseudorandom Correlation Functions" supervised by Geoffroy Couteau

• Design of efficient Pseudorandom Correlation Functions for practically useful correlations such as Oblivious Linear Evaluation (OLE) and Multiplication triples.

May 2024 - August 2024 : Aptos Labs, USA

Topic: "Fair dishonest majority secure computation using blockchain" supervised by Rex Fernando, Benny Pinkas, Alin Tomescu

• Design of a new witness encryption scheme which enables efficient conversion of unfair dishonest majority MPC protocols into a fair protocol by leveraging blockchain in a lightweight way.

May 2023 - August 2023 : Aarhus university, Denmark

Topic: "Secure binary and arithmetic conversions" supervised by Prof. Peter Scholl

• Design of new practically efficient schemes for binary and arithmetic conversions in secure computation and zero knowledge proof protocols.

March 2023 - April 2023 : Technion - Israel Institute of Technology, Israel

Topic: "Unit vector correlations and its applications" supervised by Prof. Yuval Ishai

• New constructions of Pseudo-random Correlation Generators for boosting practical efficiency of secure computation tasks such as lookup table evaluation and private information retrieval.

• New protocols for secure sorting and selection via Function Secret Sharing.

May 2022 - Aug 2022 : Google, USA - Research Intern

Topic: "Integrating differential privacy and secure computation for large scale neural network training" supervised by Dr. Mariana Raykova and Karn Seth

• Formalized new techniques for efficiently integrating central and local differential privacy inside secure two-party protocols for performing neural network training.

May 2021 - Aug 2021 : Google, USA - Research Intern

Topic: "Privacy Preserving Machine Learning" supervised by Dr. Mariana Raykova and Karn Seth

• Design and analysis of new and efficient privacy-preserving machine learning algorithms using secure multiparty computation by leveraging novel cryptographic techniques.

• Implementation and benchmarking of the protocol using C++ in Google3 codebase

Jun 2020 - Dec. 2020 : Dept. of Computer Science, UIUC - Research Assistant

Topic: "Two round maliciously secure computation" supervised by Dr. Dakshita Khurana

• Deigned a novel maliciously secure MPC protocol which requires only two rounds of interaction between the parties, thus establishing a new state-of-the-art in the field of secure computation

• Wrote a full technical paper detailing the protocol and the security analysis. The work has been accepted at TCC 2021 and is available on eprint

Aug. 2019 - May 2020 : Coordinated Science Laboratory, UIUC - Research Assistant

Topic: "Robust and scalable schemes for Secure Multiparty Computation" supervised by Dr. Andrew Miller

• Design and analysis of privacy-preserving secure multiparty protocols for applications involving multiple semi-trusted/untrusted parties e.g. Proof of Custody and Bank Clearance (Netting) problem.

• Implementation and benchmarking of designed protocol using HoneyBadger MPC and MP-SPDZ toolkit

Dec. 2019 - May. 2020 : Dept. of Computer Science, UIUC - Research Assistant

Topic: "Post Quantum Secure Multiparty Computation in Constant Rounds" supervised by Dr. Dakshita Khurana

• Explored non-rewinding based simulation techniques for proving security of protocols against quantum adversaries

• Design and analysis of a protocol in which multiple parties can generate unbiased and uniform randomness in a distributed fashion. The protocol is provably secure against a quantum adversary which can potentially corrupt all but one party. Additionally, the protocol only takes a constant number of rounds to complete.

• Wrote a full technical paper detailing the protocol and the security analysis. The work has been accepted at Eurocrypt 2021 and is available on eprint

Aug. 2019 - Dec. 2019 : Dept. of Computer Science,UIUC

Topic: "Fair protocols for Secure Multiparty Computation" supervised by Dr. Dakshita Khurana

• Explored the characterization of non-binary and asymmetric functionalities which can (and cannot) be computed with fairness in settings without an honest majority.

• Construction of provably secure protocols (with fairness) for realizing such functionalities.

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Other research works done during my undergraduate

Jan. 2018 - May 2018 : Nanyang Technological University, SINGAPORE - Research Intern

Topic: "Secure virtual machine placement for IaaS clouds" supervised by Dr.Ta Nguyen Binh Duong

• Designed a new virtual machine placement algorithm which combats side-channel attacks in public IaaS cloud data centers by reducing the probability of an adversary to co-locate their Virtual Machine(VM) with a benign user during initial VM placement.

• Performed a theoretical and empirical analysis of the proposed algorithm to evaluate its resource efficiency and security. Results obtained using real-world Microsoft Azure workload dataset indicated that the proposed algorithm provides a significant increase in the cloud's co-location resistance with little compromise in resource utilization, compared to existing approaches.

Aug. 2017 - Nov. 2017 : Birla Institute of Technology and Science Pilani, Goa, INDIA - Undergraduate student

Topic: "Traffic Flow Confidentiality using TOR network" supervised by Dr. Sanjay K. Sahay

• Studied the inner working of The Onion Routing (TOR) protocol and the strategy that it uses to reduce the risks associated with traffic analysis attacks.

• Investigated into some of the open research problems related to bridge (Tor relays that aren't listed in the main Tor directory) distribution inside the TOR network.

May 2017 - Jul. 2017 : University of Southern California, Los Angeles, USA - Research Intern

Topic: "Virtually Isolated DETER Experimentation" supervised by Dr. Clifford Neuman

• Designed and implemented an infrastructure that enables remote isolated OS instances to connect with internal nodes for experiments in the DETER testbed (a cyber security testbed available to researchers worldwide).

• The project was used to extend the isolated domain of a DETER experiment to external virtual machines that are virtually isolated and capable of communicating only with the DETER testbed through an IPSec tunnel.

Feb. 2017 - Apr. 2017 : Birla Institute of Technology and Science Pilani, Goa, INDIA - Undergraduate student

Topic: "Clustering in ELM vs TF-IDF feature space" supervised by Dr. Rajendra Kumar Roul

• Explored various concepts related to Extreme Learning Machines (ELM) and clustering algorithms.

• Performed a comparative analysis of standard clustering algorithms like K-means, Hierarchical Clustering and Fuzzy C-means clustering in ELM and TF-IDF feature space.

May 2016 - Jul. 2016 : Indira Gandhi Centre for Atomic Research, Kalpakkam, INDIA - Research Intern

Topic: "Hierarchical clustering algorithm for online resources" supervised by Mr. E. Soundararajan

• Worked on hierarchical single linkage clustering using a 2 stage algorithm (a combination of Prim's and Kruskal's algorithm for minimum spanning trees).

• Implemented the complete algorithm and tested it for 50,000 records of unordered books in SIRD Library, IGCAR.

• Designed a web-based interface for retrieval of clustered documents.