Vulnerability Pattern Mining
Vulnerability Pattern Mining is a systematic analytical approach within reverse engineering that identifies recurring structural or behavioral indicators of security weaknesses in software by distinguishing exploitable flaw signatures from benign code patterns through data-driven generalization.
5
Publications
131
Citations
20
Authors
11
Institutions
Publications per year
2017–2026
3
5
VULGEN: Realistic Vulnerability Generation Via Pattern Mining and Deep Learning
Yu Nong, Yuzhe Ou, Michael Pradel et al. · 2023 · 34 citations
A Pattern-Based Framework for Software Anomaly Detection
S.C. Kothari, Luke Bishop, Jeremías Sauceda et al. · Software Quality Journal · 2004 · 22 citations
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Washington State University
Pullman, United States
1 h-index
2 publications
68 citations
Iowa State University
Ames, United States
1 h-index
3 publications
66 citations
University of Michigan
Ann Arbor, United States
1 h-index
3 publications
51 citations
Harvard University
Cambridge, United States
1 h-index
1 publications
17 citations
University of California, Santa Cruz
Santa Cruz, United States
1 h-index
1 publications
17 citations

University of Freiburg
Freiburg im Breisgau, Germany
1 h-index
2 publications
94 citations
University of Maryland, College Park
College Park, United States
1 h-index
1 publications
17 citations
University of Stuttgart
Stuttgart, Germany
1 h-index
1 publications
34 citations
1–8 of 11
1 publications · 22 citations
1
h-index
1 publications · 47 citations
1
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1 publications · 16 citations
1 publications · 11 citations
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