Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Salls, Christopher"'
Publikováno v:
USENIX Security Symposium, 2021, pages 2795-2809
Fuzzing has become a commonly used approach to identifying bugs in complex, real-world programs. However, interpreters are notoriously difficult to fuzz effectively, as they expect highly structured inputs, which are rarely produced by most fuzzing m
Externí odkaz:
http://arxiv.org/abs/2304.02103
Autor:
Jindal, Chani, Salls, Christopher, Aghakhani, Hojjat, Long, Keith, Kruegel, Christopher, Vigna, Giovanni
Malware detection plays a vital role in computer security. Modern machine learning approaches have been centered around domain knowledge for extracting malicious features. However, many potential features can be used, and it is time consuming and dif
Externí odkaz:
http://arxiv.org/abs/1910.11376
Autor:
Shoshitaishvili, Yan, Weissbacher, Michael, Dresel, Lukas, Salls, Christopher, Wang, Ruoyu, Kruegel, Christopher, Vigna, Giovanni
As the size and complexity of software systems increase, the number and sophistication of software security flaws increase as well. The analysis of these flaws began as a manual approach, but it soon became apparent that tools were necessary to assis
Externí odkaz:
http://arxiv.org/abs/1708.02749
Autor:
Salls, Christopher, Shoshitaishvili, Yan, Stephens, Nick, Kruegel, Christopher, Vigna, Giovanni
Publikováno v:
ACM International Conference Proceeding Series; 12/4/2017, p141-153, 13p
