Dr. Xinyu Xing is an Assistant Professor at the Pennsylvania State University, and currently working at JD Inc. as a visiting researcher. His research interest includes exploring, designing and developing tools to automate vulnerability discovery, failure reproduction, vulnerability diagnosis (and triage), exploit and security patch generation. Recently, he is also interested in developing deep learning techniques to perform highly accurate binary and malware analysis. His past research has been featured by many mainstream medium, such as Technology Review, New Scientists and NYTimes etc. He was also the organizer of NSA memory corruption forensics competition.

Appearing at:

• From Thousands of Hours to a Couple of Minutes: Automating Exploit Generation for Arbitrary Types of Kernel Vulnerabilities

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