Talks and Presentations
Invited talks, conference presentations, and workshop lectures on fully homomorphic encryption, privacy-preserving computation, and applied cryptography.
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OpenFHE: A Community-Driven Open-Source Project for FHE
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...
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FHEllo, world! FHE Community Workshop
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 Op...
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enCRYPTON: Summer School on Cryptographic Solutions for Privacy Enhancing Technologies
I participated in this workshop as an instructor and gave five lectures on the following topics:
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OpenFHE: Open-Source Fully Homomorphic Encryption Library
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 computin...
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Fully Homomorphic Encryption on GPUs: Design, Implementation & Performance Evaluation
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, implementati...
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Privacy-Preserving Computing
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...
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Trustless Computing on Encrypted data
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.
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High-Performance FV Somewhat Homomorphic Encryption on GPUs: An Implementation using CUDA
In this talk, I presented my work on accelerating a fully homomorphic encryption (FHE) scheme, the fully-RNS variant of the BFV scheme, using GPUs.
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Faster Number Theoretic Transform on Graphics Processors for Ring Learning with Errors Based Cryptography
In this talk, I presented a GPU-accelerated variant of the Number Theoretic Transform (NTT) known as the Generalized Discrete Galois Transform (DGT).
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Efficient Polynomial Multiplication via Modified Discrete Galois Transform and Negacyclic Convolution
In this talk, I presented a generalization of the DGT transform over non-Gaussian primes and applied it to accelerate polynomial multiplication in power-of-two cyclotomic rings for lattice-based cr...