175 citations · 332 across the 7 of their papers we have counts for
6 papers · 1 filter
Writing a Good Security Paper for ISSCC (2025)
Utsav Banerjee, Chiraag Juvekar, Yong Ki Lee +7
Security is increasingly more important in designing chips and systems based on them, and the International Solid-State Circuits Conference (ISSCC), the leading conference for pres…
FAB: An FPGA-based Accelerator for Bootstrappable Fully Homomorphic Encryption
Rashmi Agrawal, Leo de Castro, Guowei Yang +5
FHE offers protection to private data on third-party cloud servers by allowing computations on the data in encrypted form. However, to support general-purpose encrypted computation…
Does Fully Homomorphic Encryption Need Compute Acceleration?
Leo de Castro, Rashmi Agrawal, Rabia Yazicigil +4
Fully Homomorphic Encryption (FHE) allows arbitrarily complex computations on encrypted data without ever needing to decrypt it, thus enabling us to maintain data privacy on third-…
An Energy-Efficient Reconfigurable DTLS Cryptographic Engine for Securing Internet-of-Things Applications
Utsav Banerjee, Andrew Wright, Chiraag Juvekar +3
This paper presents the first hardware implementation of the Datagram Transport Layer Security (DTLS) protocol to enable end-to-end security for the Internet of Things (IoT). A key…
An Energy-Efficient Reconfigurable DTLS Cryptographic Engine for End-to-End Security in IoT Applications
Utsav Banerjee, Chiraag Juvekar, Andrew Wright +2
This paper presents a reconfigurable cryptographic engine that implements the DTLS protocol to enable end-to-end security for IoT. This implementation of the DTLS engine demonstrat…
Gazelle: A Low Latency Framework for Secure Neural Network Inference
Chiraag Juvekar, Vinod Vaikuntanathan, Anantha Chandrakasan
The growing popularity of cloud-based machine learning raises a natural question about the privacy guarantees that can be provided in such a setting. Our work tackles this problem…