58. Microprocessor Design for Machine Learning Applications (E-12-SSTA-006-A)

Machine learning applications are broadening into new fields and has started to be used to improve computer core architectures. Our research project investigates security attacks on processors at the instruction set level, in particular, Spectre. We propose a hardware accelerated machine-learning solution for mitigating Spectre attack on a RISCV core.

Luke Jordan

Kyle Watson

Ankit Kalluraya