1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.SE2024
Uses of Active and Passive Learning in Stateful Fuzzing
Cristian Daniele, Seyed Behnam Andarzian, Erik Poll
This paper explores the use of active and passive learning, i.e.\ active and passive techniques to infer state machine models of systems, for fuzzing. Fuzzing has become a very pop…
cs.SE2024
Is Stateful Fuzzing Really Challenging?
Cristian Daniele
Fuzzing has been proven extremely effective in finding vulnerabilities in software. When it comes to fuzz stateless systems, analysts have no doubts about the choice to make. In fa…
cs.CR2023★ 1 cited
Evaluating the Fork-Awareness of Coverage-Guided Fuzzers
Marcello Maugeri, Cristian Daniele, Giampaolo Bella +1
Fuzz testing (or fuzzing) is an effective technique used to find security vulnerabilities. It consists of feeding a software under test with malformed inputs, waiting for a weird s…