Adversary Procedures
Adversary Procedures is a structured framework within threat intelligence that categorizes and describes the distinct tactics, techniques, and behaviors employed by malicious actors during cyberattack lifecycle phases to achieve specific operational objectives.
80
Publications
5.1K
Citations
251
Authors
112
Institutions
Publications per year
2017–2026
43
80
TextBugger: Generating Adversarial Text Against Real-world Applications
2019 · 320 citations · Full text
A taxonomy and survey of attacks against machine learning
Nikolaos Pitropakis, Emmanouil Panaousis, Thanassis Giannetsos et al. · Computer Science Review · 2019 · 258 citations · Full text
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112
Carnegie Mellon University
Pittsburgh, United States
4 h-index
9 publications
341 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
7 publications
1.2K citations
The University of Texas at San Antonio
San Antonio, United States
3 h-index
4 publications
168 citations

Bar-Ilan University
Ramat Gan, Israel
3 h-index
5 publications
187 citations
University of California, Berkeley
Berkeley, United States
3 h-index
8 publications
774 citations
Peng Cheng Laboratory
Shenzhen, China
3 h-index
4 publications
163 citations

University of Greenwich
London, United Kingdom
2 h-index
4 publications
405 citations

University of Piraeus
Piraeus, Greece
2 h-index
6 publications
368 citations
1–8 of 112
Repository · 7 publications · 1.1K citations
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4 publications · 256 citations
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3 publications · 108 citations
3
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2 publications · 240 citations
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TPAMI · 2 publications · 310 citations
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