all InfoSec news
GuardNN: Secure Accelerator Architecture for Privacy-Preserving Deep Learning. (arXiv:2008.11632v2 [cs.CR] UPDATED)
May 26, 2022, 1:20 a.m. | Weizhe Hua, Muhammad Umar, Zhiru Zhang, G. Edward Suh
cs.CR updates on arXiv.org arxiv.org
This paper proposes GuardNN, a secure DNN accelerator that provides
hardware-based protection for user data and model parameters even in an
untrusted environment. GuardNN shows that the architecture and protection can
be customized for a specific application to provide strong confidentiality and
integrity guarantees with negligible overhead. The design of the GuardNN
instruction set reduces the TCB to just the accelerator and allows
confidentiality protection even when the instructions from a host cannot be
trusted. GuardNN minimizes the overhead of …
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
Red Team Penetration Tester and Operator, Junior
@ Booz Allen Hamilton | USA, VA, McLean (1500 Tysons McLean Dr)
Director, Security Operations & Risk Management
@ Live Nation Entertainment | Toronto, ON
IT and Security Specialist APAC (F/M/D)
@ Flowdesk | Singapore, Singapore, Singapore
Senior Security Controls Assessor
@ Capgemini | Washington, DC, District of Columbia, United States; McLean, Virginia, United States
GRC Systems Solution Architect
@ Deloitte | Midrand, South Africa
Cybersecurity Subject Matter Expert (SME)
@ SMS Data Products Group, Inc. | Fort Belvoir, VA, United States