76 citations · 97 across the 4 of their papers we have counts for
4 papers
DriveFuzz: Discovering Autonomous Driving Bugs through Driving Quality-Guided Fuzzing
Seulbae Kim, Major Liu, Junghwan "John" Rhee +3
Autonomous driving has become real; semi-autonomous driving vehicles in an affordable price range are already on the streets, and major automotive vendors are actively developing f…
SIGL: Securing Software Installations Through Deep Graph Learning
Xueyuan Han, Xiao Yu, Thomas Pasquier +5
Many users implicitly assume that software can only be exploited after it is installed. However, recent supply-chain attacks demonstrate that application integrity must be ensured…
Code-less Patching for Heap Vulnerabilities Using Targeted Calling Context Encoding
Qiang Zeng, Golam Kayas, Emil Mohammed +3
Exploitation of heap vulnerabilities has been on the rise, leading to many devastating attacks. Conventional heap patch generation is a lengthy procedure, requiring intensive manua…
Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification
Shen Wang, Zhengzhang Chen, Ding Li +6
Program or process is an integral part of almost every IT/OT system. Can we trust the identity/ID (e.g., executable name) of the program? To avoid detection, malware may disguise i…