Vall-nut: Principled anti-grey box-fuzzing
Greybox fuzzing is a widely used technique for software testing that has been adopted by
practitioners and researchers to disclose a great number of vulnerabilities in various …
practitioners and researchers to disclose a great number of vulnerabilities in various …
Avstack: An open-source, reconfigurable platform for autonomous vehicle development
RS Hallyburton, S Zhang, M Pajic - Proceedings of the ACM/IEEE 14th …, 2023 - dl.acm.org
Pioneers of autonomous vehicles (AVs) promised to revolutionize the driving experience
and driving safety. However, milestones in AVs have materialized slower than forecast …
and driving safety. However, milestones in AVs have materialized slower than forecast …
Neufuzz: Efficient fuzzing with deep neural network
Y Wang, Z Wu, Q Wei, Q Wang - IEEE Access, 2019 - ieeexplore.ieee.org
Coverage-guided graybox fuzzing is one of the most popular and effective techniques for
discovering vulnerabilities due to its nature of high speed and scalability. However, the …
discovering vulnerabilities due to its nature of high speed and scalability. However, the …
Fuzzing javascript engines with aspect-preserving mutation
Fuzzing is a practical, widely-deployed technique to find bugs in complex, real-world
programs like JavaScript engines. We observed, however, that existing fuzzing approaches …
programs like JavaScript engines. We observed, however, that existing fuzzing approaches …
Driving with sharks: Rethinking connected vehicles with vehicle cybersecurity
In a public service announcement on 17 March 2016, the Federal Bureau of Investigation
jointly with the US Department of Transportation and the National Highway Traffic Safety …
jointly with the US Department of Transportation and the National Highway Traffic Safety …
One engine to fuzz'em all: Generic language processor testing with semantic validation
Language processors, such as compilers and interpreters, are indispensable in building
modern software. Errors in language processors can lead to severe consequences, like …
modern software. Errors in language processors can lead to severe consequences, like …
Deepfuzzer: Accelerated deep greybox fuzzing
Fuzzing is one of the most effective vulnerability detection techniques, widely used in
practice. However, the performance of fuzzers may be limited by their inability to pass …
practice. However, the performance of fuzzers may be limited by their inability to pass …
So Many Fuzzers, So Little Time✱: Experience from Evaluating Fuzzers on the Contiki-NG Network (Hay) Stack
Fuzz testing (“fuzzing”) is a widely-used and effective dynamic technique to discover crashes
and security vulnerabilities in software, supported by numerous tools, which keep improving …
and security vulnerabilities in software, supported by numerous tools, which keep improving …
Drifuzz: Harvesting bugs in device drivers from golden seeds
Peripheral hardware in modern computers is typically assumed to be secure and not
malicious, and device drivers are implemented in a way that trusts inputs from hardware …
malicious, and device drivers are implemented in a way that trusts inputs from hardware …
Towards systematic and dynamic task allocation for collaborative parallel fuzzing
Parallel coverage-guided greybox fuzzing is the most common setup for vulnerability
discovery at scale. However, so far it has received little attention from the research …
discovery at scale. However, so far it has received little attention from the research …