Session

DescriptionThis session consists of papers on the new development of attacks and defenses at microarchitecture level and above. The first paper establishes a formal method to detect microarchitectural timing side-channel attacks. The second paper proposes hardware fuzzing with information flow tracking to address speculative execution leakages. The third paper presents a framework with deep learning (DL) and frame fusion (2F) for the detection and localization of denial of service (DoS) attack on network-on-chips. The last two papers are on the acceleration of the startup procedure of trusted execution environments (TEEs) and the execution of multi-precision integer arithmetic, respectively.