ERC Consolidator Grant · 2024
In-Vivo Software Security Analysis at Scale
Project AT_SCALE will develop the most scalable and reliable techniques for the automatic discovery, diagnosis, and repair of security flaws in software systems to-date. AT_SCALE will make fundamental breakthroughs in empirical methods for reasoning about software systems as they are running in production. Existing scalable techniques for automatic vulnerability discovery and detection provide unreliable results, which limits their utility and threatens the security of our digital world. Static analysis reasons over a model of software executions; it reports too many bugs that do not exist (false positives) and fails to report those that do (false negatives). Fuzzing reasons over artificial…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.