Automated Exploit Generation
Automated Exploit Generation is a computational methodology in cybersecurity research that systematically synthesizes working exploits for identified software vulnerabilities without manual intervention, distinguishing itself from manual or semi-automated approaches by its reliance on formal models, symbolic execution, or program analysis techniques to fully automate exploit construction.
50
Publications
3.3K
Citations
142
Authors
58
Institutions
Publications per year
2017–2026
24
Variants
Aeg
50
Unleashing Mayhem on Binary Code
Sang Kil, Thanassis Avgerinos, Alexandre Rebert et al. · 2012 · 521 citations
Thanassis Avgerinos, Sang Kil, Alexandre Rebert et al. · Communications of the ACM · 2014 · 258 citations
AEG: Automatic Exploit Generation
Thanassis Avgerinos, Brent Lim Tze Hao, David Brumley · Figshare · 2018 · 209 citations · Full text
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Carnegie Mellon University
Pittsburgh, United States
7 h-index
22 publications
5.1K citations
Instituto Tecnológico de Buenos Aires (ITBA)
Buenos Aires, Argentina
3 h-index
3 publications
127 citations
University of Illinois Chicago
Chicago, United States
3 h-index
11 publications
321 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
3 h-index
16 publications
602 citations
Dalhousie University
Halifax, Canada
2 h-index
6 publications
114 citations

National University of Defense Technology
Changsha, China
2 h-index
5 publications
81 citations
National Security Technologies (United States)
Las Vegas, United States
2 h-index
4 publications
228 citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
318 citations
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Repository · 6 publications · 190 citations
6
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Repository · 2 publications · 415 citations
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TDSC · 2 publications · 77 citations
2
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SP · 1 publications · 288 citations
1
h-index
1 publications · 45 citations
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