17 citations · 23 across the 5 of their papers we have counts for
5 papers
URET: Universal Robustness Evaluation Toolkit (for Evasion)
Kevin Eykholt, Taesung Lee, Douglas Schales +3
Machine learning models are known to be vulnerable to adversarial evasion attacks as illustrated by image classification models. Thoroughly understanding such attacks is critical i…
Evidential Cyber Threat Hunting
Frederico Araujo, Dhilung Kirat, Xiaokui Shu +2
A formal cyber reasoning framework for automating the threat hunting process is described. The new cyber reasoning methodology introduces an operational semantics that operates ove…
Adaptive Verifiable Training Using Pairwise Class Similarity
Shiqi Wang, Kevin Eykholt, Taesung Lee +2
Verifiable training has shown success in creating neural networks that are provably robust to a given amount of noise. However, despite only enforcing a single robustness criterion…
Topology-Aware Hashing for Effective Control Flow Graph Similarity Analysis
Yuping Li, Jiong Jang, Xinming Ou
Control Flow Graph (CFG) similarity analysis is an essential technique for a variety of security analysis tasks, including malware detection and malware clustering. Even though var…
Android Malware Clustering through Malicious Payload Mining
Yuping Li, Jiyong Jang, Xin Hu +1
Clustering has been well studied for desktop malware analysis as an effective triage method. Conventional similarity-based clustering techniques, however, cannot be immediately app…