Emerging Hardware Acceleration for Fully Homomorphic Encryption
- Patrick Longa, Microsoft; Minxuan Zhou, Illinois Institute of Technology
Host: Patrick Longa, Microsoft Research Redmond
Speaker: Minxuan Zhou, Illinois Institute of Technology
Fully homomorphic encryption (FHE) is crucial for post-quantum privacy-preserving computing. Researchers have proposed various FHE schemes that excel at different encrypted computations, such as single-instruction multiple-data (SIMD) arithmetic or arbitrary single-data functions. This talk will introduce a unified FHE accelerator (UFC) that provides better performance and cost-efficiency than prior scheme-specific accelerators via a series of algorithm, software, and hardware co-designs.
-
-
Patrick Longa
Principal Researcher
-
Minxuan Zhou
Assistant Professor
Illinois Institute of Technology
-
-
シリーズ: Cryptography Talk Series
-
-
-
-
-
Efficient Homomorphic Integer Computer from CKKS
- Jaehyung Kim
-
Fuzzy Extractors are Practical
- Melissa Chase,
- Amey Shukla
-
-
-
-
Lattice-Based Accumulator and Application to Anonymous Credential Revocation
- Victor Youdom Kemmoe,
- Betül Durak
-
Efficient Secure Aggregation for Federated Learning
- Varun Madathil,
- Melissa Chase
-
-
-
-
Hamming Quasi-Cyclic
- Edoardo Persichetti
-
-
-
Attestations over TLS 1.3 and ZKP
- Sofía Celi
-
A Closer Look at Falcon
- Jonas Janneck
-
Quantum Lattice Enumeration in Limited Depth, Fernando Virdia
- Fernando Virdia
-
-
-