Talks and presentations

OpenFHE: A Community-Driven Open-Source Project for FHE

September 05, 2024

Project Summit, NUMFOCUS Project Summit 2024, Microsoft New England Research & Development (NERD) Center, Cambridge, MA, United States

I had the pleasure of participating in the NUMFOCUS Project Summit 2024, which was held at the Microsoft New England Research & Development (NERD) Center, Cambridge, MA, United States, to share my insights on OpenFHE, a community-driven open-source project for Fully Homomorphic Encryption (FHE). My presentation introduced the OpenFHE project and its mission to streamline access to FHE technology. I showcased how our community engages through various channels, including our website, GitHub repository, Discourse forum, and participation in events, workshops, and tutorials. I also highlighted our efforts in co-organizing challenges and tutorials, fostering collaboration and driving innovation in the field of FHE. By enabling developers and researchers to contribute to and utilize OpenFHE, we aim to revolutionize the way sensitive data is handled and protected in a wide range of applications.

FHEllo, world! FHE Community Workshop

February 21, 2024

Workshop, enCRYPTON: Summer School on Cryptographic Solutions for Privacy Enhancing Technologies, Sabanci University, Istanbul, Turkey

I had the pleasure of participating in the FHEllo World! workshop, a community-oriented online event focused on Fully Homomorphic Encryption (FHE). During the workshop, I presented a talk on the OpenFHE library, an open-source platform that empowers developers to employ FHE in their privacy-concerned applications. My talk explored the library’s capabilities and highlighted its potential to revolutionize how we handle sensitive data in various applications.

OpenFHE: Open-Source Fully Homomorphic Encryption Library

November 07, 2022

Conference Paper Presentation, WAHC 2022 – 10th Workshop on Encrypted Computing & Applied Homomorphic Cryptography, Los Angeles, California

In this talk, I introduced OpenFHE, an open-source library for secure computation on encrypted data. OpenFHE includes implementations of several modern cryptographic techniques that enable computing on private data without disclosing it to any party.

Fully Homomorphic Encryption on GPUs: Design, Implementation & Performance Evaluation

May 03, 2022

Research Seminar, Invited Talks on Emerging Topics in Secure Computing, Virtual

This invited talk presented my research on accelerating homomorphic encryption (FHE) on Graphical Processing Units (GPUs). Focusing on RLWE-based FHE schemes, I discussed their design, implementation, and performance optimization on GPU platforms. My key contributions include:

Privacy-Preserving Computing

October 03, 2021

Talk, Cyber Wales Cluster Webinar in the Middle East, Abu Dhabi, UAE

In this talk, I introduced three emerging technologies that have the potential to revolutionize outsourced computing: Multi-Party Computing (MPC), Fully Homomorphic Encryption (FHE), and Functional Encryption (FE). I presented real-world examples of their typical use cases, capabilities, and limitations.

Trustless Computing on Encrypted data

July 01, 2020

Talk, National Cybersecurity Research and Development (NCR) Program, Singapore

In this talk, I provided an overview of fully homomorphic encryption (FHE) as a privacy-enhancing technology (PET) for enabling secure computation on encrypted data.