Skip to main content
USENIX
  • Conferences
  • Students
Sign in

connect with us


  •  Twitter
  •  Facebook
  •  LinkedIn
  •  Google+
  •  YouTube

twitter

Tweets by @usenix

usenix conference policies

  • Event Code of Conduct
  • Conference Network Policy
  • Statement on Environmental Responsibility Policy

You are here

Home » Vulnerability Extrapolation: Assisted Discovery of Vulnerabilities Using Machine Learning
Tweet

connect with us

Vulnerability Extrapolation: Assisted Discovery of Vulnerabilities Using Machine Learning

Abstract: 

Fabian Yamaguchi, Recurity Labs GmbH

Felix "FX" Lindner, Recurity Labs GmbH

Konrad Rieck, Technische Universität Berlin

Open Access Media

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.

BibTeX
@inproceedings {266592,
author = {Fabian Yamaguchi and Felix "FX" Lindner and Konrad Rieck},
title = {Vulnerability Extrapolation: Assisted Discovery of Vulnerabilities Using Machine Learning},
booktitle = {5th USENIX Workshop on Offensive Technologies (WOOT 11)},
year = {2011},
address = {San Francisco, CA},
url = {https://www.usenix.org/conference/woot11/vulnerability-extrapolation-assisted-discovery-vulnerabilities-using-machine},
publisher = {USENIX Association},
month = aug,
}
Download

Presentation Video

Presentation Audio

MP3 Download OGG Download

Download Audio

Links

Paper: 
http://www.usenix.org/events/woot11/tech/final_files/Yamaguchi.pdf
Paper (HTML): 
http://www.usenix.org/events/woot11/tech/techAbstracts.html#Yamaguchi
Slides: 
http://www.usenix.org/events/woot11/tech/slides/yamaguchi.pdf

© USENIX

  • Privacy Policy
  • Contact Us