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Unlock affordable, scalable reverse engineering research: this paper provides a practical guide to using students as participants in empirical studies, complete with best practices for experimental design and ethical considerations.
Automating the modeling of human-in-the-loop attacks on software reveals the quantifiable impact of software protections, moving beyond limited empirical studies.
E-graphs, typically confined to isolated optimization steps, can now persist as a first-class citizen within the compiler's intermediate representation, unlocking broader and more flexible program optimization.
