Software Vulnerability Discovery
Software Vulnerability Discovery is the systematic process of identifying previously unknown flaws or weaknesses in software systems that could be exploited to compromise security, distinguished from related analysis activities by its focus on the initial detection and characterization of such vulnerabilities prior to disclosure or remediation.
2K
Publications
113.8K
Citations
5K
Authors
1.2K
Institutions
Publications per year
2017–2026
1.2K
Parents
2K
Charles A. Ferguson · WORD · 1959 · 2.9K citations · Full text
Automated Whitebox Fuzz Testing.
Patrice Godefroid, Michael Y. Levin, David A. Molnar · 2008 · 1.1K citations
SOK: (State of) The Art of War: Offensive Techniques in Binary Analysis
Yan Shoshitaishvili, Ruoyu Wang, Christopher Salls et al. · 2016 · 911 citations · Full text
Driller: Augmenting Fuzzing Through Selective Symbolic Execution
Nick Stephens, John Grosen, Christopher Salls et al. · 2016 · 876 citations · Full text
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1.2K
North Carolina State University
Raleigh, United States
29 h-index
113 publications
8.8K citations
Nanyang Technological University
Singapore, Singapore
29 h-index
167 publications
10.9K citations
Tsinghua University
Beijing, China
29 h-index
136 publications
8.7K citations
Singapore Management University
Singapore, Singapore
27 h-index
75 publications
3.8K citations

Chinese Academy of Sciences
Beijing, China
26 h-index
108 publications
5.6K citations
Carnegie Mellon University
Pittsburgh, United States
24 h-index
69 publications
9K citations
Institute of Information Engineering
Beijing, China
23 h-index
116 publications
5.8K citations
University of California, Berkeley
Berkeley, United States
23 h-index
75 publications
11.8K citations
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TSE · 43 publications · 3.2K citations
32
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Repository · 96 publications · 3.1K citations
29
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45 publications · 1.8K citations
28
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JSS · 38 publications · 1.7K citations
26
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34 publications · 1.8K citations
24
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