Taint-enhanced Fuzzing
Taint-Enhanced Fuzzing is a vulnerability discovery method that integrates dynamic taint analysis with fuzz testing to track and prioritize the propagation of untrusted input through program paths, thereby improving the precision of identifying security-critical code regions susceptible to exploitation.
10
Publications
497
Citations
44
Authors
24
Institutions
Publications per year
2017–2026
9
10
Fuzzing: Challenges and Reflections
Marcel Boehme, Cristian Cadar, Abhik Roychoudhury · IEEE Software · 2020 · 148 citations · Full text
Finding Software Vulnerabilities by Smart Fuzzing
Sofia Bekrar, Chaouki Bekrar, Roland Groz et al. · 2011 · 79 citations
1–5 of 10
44
Singapore University of Technology and Design, Singapore
1 publications · 22 citations
1
h-index
1
h-index
1
h-index
1
h-index
1
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1–5 of 44
24
Helmholtz Center for Information Security
Saarbrücken, Germany
2 h-index
6 publications
180 citations
National University of Singapore
Singapore, Singapore
2 h-index
2 publications
170 citations

Imperial College London
London, United Kingdom
1 h-index
1 publications
148 citations
Singapore University of Technology and Design
Singapore, Singapore
1 h-index
3 publications
66 citations
Korea Institute of Science and Technology
Seoul, South Korea
1 h-index
3 publications
216 citations
University of New Brunswick
Fredericton, Canada
1 h-index
4 publications
172 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
1 publications
20 citations
Naver (South Korea)
Seongnam-si, South Korea
1 h-index
1 publications
72 citations
1–8 of 24
JSA · 2 publications · 42 citations
2
h-index
TSE · 1 publications · 72 citations
1
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Repository · 1 publications · 37 citations
1
h-index
Repository · 1 publications · 33 citations
1
h-index
1 publications · 148 citations
1
h-index
1–5