Paper

A Lightweight Isolation Mechanism for Secure Branch Predictors
Research

A Lightweight Isolation Mechanism for Secure Branch Predictors

Abstract This paper presents a lightweight, randomization-based mechanism to isolate content within shared branch predictors, counteracting cross-process malicious training and perception attacks. The solution avoids performance-heavy methods like flushing or physical isolation by
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