activity
20192026
most citedMagma: A Ground-Truth Fuzzing Benchmark

168 citations · 188 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CR2026

The Impact of Magma: A Ground-Truth Fuzzing Benchmark

Ahmad Hazimeh, Adrian Herrera, Srividya Subramanian +4

Magma is an open-source and ground-truth fuzzing benchmark that enables uniform fuzzer evaluation and comparison. Magma was originally released with a research paper published at A…

cs.CR2026

PeAR: A Static Binary Rewriting Framework for Binary-Only Fuzzing

Alvin Charles, Adrian Herrera, Peter Oslington +1

Binary-only fuzzing is a key technique for finding bugs in close-source software. Without access to source code, the fuzzer must rely on static or dynamic binary instrumentation fo…

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.CR2020★ 168 cited

Magma: A Ground-Truth Fuzzing Benchmark

Ahmad Hazimeh, Adrian Herrera, Mathias Payer

High scalability and low running costs have made fuzz testing the de facto standard for discovering software bugs. Fuzzing techniques are constantly being improved in a race to bui…

cs.CR2020

Optimizing Away JavaScript Obfuscation

Adrian Herrera

JavaScript is a popular attack vector for releasing malicious payloads on unsuspecting Internet users. Authors of this malicious JavaScript often employ numerous obfuscation techni…

cs.AR2020★ 16 cited

The gem5 Simulator: Version 20.0+

Jason Lowe-Power, Abdul Mutaal Ahmad, Ayaz Akram +75

The open-source and community-supported gem5 simulator is one of the most popular tools for computer architecture research. This simulation infrastructure allows researchers to mod…