USENIX supports diversity, equity, and inclusion and condemns hate and discrimination.
Predicting the Resilience of Obfuscated Code Against Symbolic Execution Attacks via Machine Learning
Submitted by arnold on May 22, 2017 - 5:19 pm
| Title | Predicting the Resilience of Obfuscated Code Against Symbolic Execution Attacks via Machine Learning |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Banescu S, Collberg C, Pretschner A |
| Conference Name | 26th USENIX Security Symposium (USENIX Security 17) |
| Date Published | 08/2017 |
| Publisher | USENIX Association |
| Conference Location | Vancouver, BC |
| ISBN Number | 978-1-931971-40-9 |
| URL | https://www.usenix.org/conference/usenixsecurity17/technical-sessions/presentation/banescu |
- DBLP
- Log in or Register to post comments
- Google Scholar
- BibTeX