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20222026
most citedStatement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive Learning

3 citations · 5 across the 4 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.CR2023★ 1 cited

Make out like a (Multi-Armed) Bandit: Improving the Odds of Fuzzer Seed Scheduling with T-Scheduler

Simon Luo, Adrian Herrera, Paul Quirk +3

Fuzzing is a highly-scalable software testing technique that uncovers bugs in a target program by executing it with mutated inputs. Over the life of a fuzzing campaign, the fuzzer…

cs.CR2023★ 1 cited

SplITS: Split Input-to-State Mapping for Effective Firmware Fuzzing

Guy Farrelly, Paul Quirk, Salil S. Kanhere +2

Ability to test firmware on embedded devices is critical to discovering vulnerabilities prior to their adversarial exploitation. State-of-the-art automated testing methods rehost f…