USENIX Security Symposium, USENIX Security 2017


Article Details
Title: Predicting the Resilience of Obfuscated Code Against Symbolic Execution Attacks via Machine Learning
Article URLs:
Alternative Article URLs:
Authors: Sebastian Banescu
  • Technische Universität München, Faculty of Informatics
Christian S. Collberg
  • University of Arizona, Computer Science
Alexander Pretschner
  • Technische Universität München, Faculty of Informatics
Sharing: Research produced artifacts
Verification: Authors have verified information
Artifact Evaluation Badge: none
Artifact URLs:
Artifact Correspondence Email Addresses:
NSF Award Numbers: 1525820, 1318955
DBLP Key: conf/uss/BanescuCP17
Author Comments:

Discuss this paper and its artifacts below