FastSpec: Scalable Generation and Detection of Spectre Gadgets Using Neural Embeddings

25 Jun 2020M. Caner TolKoray YurtsevenBerk GulmezogluBerk Sunar

Several techniques have been proposed to detect vulnerable Spectre gadgets in widely deployed commercial software. Unfortunately, detection techniques proposed so far rely on hand-written rules which fall short in covering subtle variations of known Spectre gadgets as well as demand a huge amount of time to analyze each conditional branch in software... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper