Detection Evasion
Detection Evasion is a strategic technique within adversarial cybersecurity operations that enables an attacker to circumvent detection mechanisms by altering behavioral, temporal, or signature-based indicators while maintaining operational objectives.
80
Publications
3.4K
Citations
304
Authors
133
Institutions
Publications per year
2017–2026
59
80
Automatically Evading Classifiers: A Case Study on PDF Malware Classifiers
Weilin Xu, Yanjun Qi, David Evans · 2016 · 221 citations · Full text
Looking at the bag is not enough to find the bomb
Davide Maiorca, Igino Corona, Giorgio Giacinto · 2013 · 112 citations
1–5 of 80
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133

University of Cagliari
Cagliari, Italy
5 h-index
19 publications
1.3K citations
V. A. Trapeznikov Institute of Control Sciences
Moscow, Russia
4 h-index
7 publications
78 citations
The University of Texas at San Antonio
San Antonio, United States
3 h-index
9 publications
315 citations
Tsinghua University
Beijing, China
3 h-index
8 publications
812 citations
Russian Academy of Sciences
Moscow, Russia
3 h-index
6 publications
64 citations

Universidade do Porto
Porto, Portugal
2 h-index
4 publications
100 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
2 h-index
3 publications
69 citations
Ca' Foscari University of Venice
Venice, Italy
2 h-index
5 publications
203 citations
1–8 of 133
Repository · 14 publications · 715 citations
13
h-index
8 publications · 259 citations
7
h-index
3 publications · 34 citations
3
h-index
3 publications · 71 citations
3
h-index
2 publications · 35 citations
2
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1–5