Biblio

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Filters: Author is Konrad Rieck  [Clear All Filters]
2022
Arp D, Quiring E, Pendlebury F, Warnecke A, Pierazzi F, Wressnegger C, Cavallaro L, Rieck K.  2022.  Dos and Don'ts of Machine Learning in Computer Security. 31st USENIX Security Symposium (USENIX Security 22). :3971--3988.
2020
Quiring E, Klein D, Arp D, Johns M, Rieck K.  2020.  Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning. 29th USENIX Security Symposium (USENIX Security 20). :1363-1380.
2019
Quiring E, Maier A, Rieck K.  2019.  Misleading Authorship Attribution of Source Code using Adversarial Learning. 28th USENIX Security Symposium (USENIX Security 19). :479--496.
2017
Unruh T, Shastry B, Skoruppa M, Maggi F, Rieck K, Seifert J-P, Yamaguchi F.  2017.  Leveraging Flawed Tutorials for Seeding Large-Scale Web Vulnerability Discovery. 11th USENIX Workshop on Offensive Technologies (WOOT 17).
2011
Yamaguchi F, Lindner F, Rieck K.  2011.  Vulnerability Extrapolation: Assisted Discovery of Vulnerabilities Using Machine Learning. 5th USENIX Workshop on Offensive Technologies (WOOT 11).