About me

Welcome! I “virtually” graduated from GWU in May 15, 2020, as a PhD majoring in Electrical and Computer Engineering. My research focuses on reverse engineering, program/network vulnerability detection and AI security. I joined Facebook as a research scientist in June, 2020.

Skills

Python, C/C++, JAVA

Binary Analysis

AI Infra & Security

Experiences

Research Scientist

June 2020 - Present
Facebook

AI Infra

Research Engineer Intern

June 2019 - Oct. 2019
Kryptowire

Visiting Research Assistant

June 2018 - Aug. 2018
University of California, Riverside

Graduate Research Assistant

2015 - 2020
George Washington University

Projects

TO BE CONTINUED

Projects @GWU - Selected cyber security projects sponsored by ONR, 2015 - 2019
Projects @Kryptowire - An automated fuzzing framework designed to discover vulnerabilities in firmware of IoT devices and smartphone baseband processor

Publications

  • CHOP: Bypassing Runtime Bounds Checking through Convex Hull Optimization
  • Yurong Chen, Hongfa Xue, Tian Lan, Guru Venkataramani
    Computers and Security, Elsevier, 2019
  • Exploring Effective Fuzzing Strategies to Analyze Communication Protocols
  • Yurong Chen, Tian Lan, Guru Venkataramani
    ACM FEAST, 2019
  • Hecate: Automated Cuvstomization of Program and Communication Features to Reduce Attack Surfaces
  • Hongfa Xue, Yurong Chen, Guru Venkataramani, Tian Lan
    SecureComm, 2019
  • AMASS: Automated Software Mass Customization via Feature Identification and Tailoring
  • Hongfa Xue, Yurong Chen, Tian Lan, Guru Venkataramani
    Security and Safety, EAI, 2019
  • TOSS: Tailoring Online Server Systems through Binary Feature Customization
  • Yurong Chen, Shaowen Sun, Tian Lan, Guru Venkataramani
    ACM FEAST, 2018
  • MORPH: Enhancing System Security through Interactive Customization of Application and Communication Protocol Feature
  • Hongfa Xue, Yurong Chen, Guru Venkataramani, Tian Lan, Guang Jin, Jason Li
    CCS Poster, 2018
  • DAMGate: Dynamic Adaptive Multi-feature Gating in Program Binaries
  • Yurong Chen, Tian Lan, Guru Venkataramani
    ACM FEAST, 2017
  • MobiQoR: Pushing the Envelope of Mobile Edge Computing via Quality-of-Result Optimization
  • Yongbo Li, Yurong Chen, Tian Lan, Guru Venkataramani
    ICDCS, 2017
  • SIMBER: Eliminating Redundant Memory Bound Checks via Statistical Inference
  • Hongfa Xue, Yurong Chen, Fan Yao, Yongbo Li, Tian Lan, Guru Venkataramani
    IFIP SEC, 2017
  • StatSym: Vulnerable Path Discovery through Statistics-guided Symbolic Execution
  • Fan Yao, Yongbo Li, Yurong Chen, Hongfa Xue, Tian Lan, Guru Venkataramani
    DSN, 2017