Search Results for author: Kim Laine

Found 7 papers, 1 papers with code

Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation

no code implementations20 Jan 2021 Nitin Agrawal, Reuben Binns, Max Van Kleek, Kim Laine, Nigel Shadbolt

Homomorphic encryption, secure multi-party computation, and differential privacy are part of an emerging class of Privacy Enhancing Technologies which share a common promise: to preserve privacy whilst also obtaining the benefits of computational analysis.

Human-Computer Interaction

EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation

2 code implementations27 Dec 2019 Roshan Dathathri, Blagovesta Kostova, Olli Saarikivi, Wei Dai, Kim Laine, Madanlal Musuvathi

We believe that EVA would enable a wider adoption of FHE by making it easier to develop FHE applications and domain-specific FHE compilers.

HEAX: An Architecture for Computing on Encrypted Data

no code implementations20 Sep 2019 M. Sadegh Riazi, Kim Laine, Blake Pelton, Wei Dai

Building on top of NTT engine, we design a novel architecture for computation on homomorphically encrypted data.

CHET: Compiler and Runtime for Homomorphic Evaluation of Tensor Programs

no code implementations1 Oct 2018 Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin Lauter, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz

Just as the hardware ISA interface enabled hardware advances to proceed independent of software advances in the compiler and language runtimes, HISA decouples compiler optimizations and runtimes for supporting FHE applications from advancements in the underlying FHE schemes.

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