An RTL-level rule monitor detects CBPA and IBPA branch predictor attacks on BOOM RISC-V in simulation, flagging at 25 to 56 percent of attack completion on a small workload set.
Victims can be saviors: A machine learning–based detection for micro-architectural side-channel attacks,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
baseline 1
citation-polarity summary
fields
cs.CR 1years
2026 1verdicts
CONDITIONAL 1roles
baseline 1polarities
baseline 1representative citing papers
citing papers explorer
-
ANTMAN: An Efficient and Interpretable RTL-Level Run-Time Detection Framework for Stealthy Branch Predictor Attacks on BOOM
An RTL-level rule monitor detects CBPA and IBPA branch predictor attacks on BOOM RISC-V in simulation, flagging at 25 to 56 percent of attack completion on a small workload set.