no code implementations • 30 May 2019 • Liam Hayes, Hendra Gunadi, Adrian Herrera, Jonathon Milford, Shane Magrath, Maggi Sebastian, Michael Norrish, Antony L. Hosking
We then compare the effectiveness of ML-distilled seed selection in a long campaign, comparing against cmin, with ML configured to give weight to different characteristics of the seeds (ie, unweighted, file size, or execution time), as well as against each target's full corpus and a singleton set containing only an "empty" valid input seed.
Cryptography and Security
