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  • UIUC
  • Bay Area, CA

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@VirginiaTech

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whyisyoung/README.md

Hi there 👋

This is whyisyoung

I obtained my PhD from UIUC, working with Dr. Gang Wang on machine learning for security applications under dynamic and adversarial environments.

Previously, I've done some projects related to concept drift detection and explanation [USENIX Sec'21], VirusTotal reliability [USENIX Sec'20], IoT authentication system (Amazon Alexa and Google Home) [SafeThings'20], phishing detection [IMC'19], and vulnerability reproducibility [USENIX Sec'18]. I also collaborated with Blue Hexagon to release a Windows PE malware dataset [DLS'21].

I did an internship at TikTok as a Security Engineering Intern last summer, working on augmenting Email spam detection with rule system and user actions.

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  1. JigsawPuzzle JigsawPuzzle Public

    Webpage for our IEEE S&P'23 paper: Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers

    HTML 7

  2. CADE CADE Public

    Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications

    Python 127 34

  3. BODMAS BODMAS Public

    Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon Open Dataset for Malware AnalysiS.

    Python 72 13

  4. elastic/ember elastic/ember Public template

    Elastic Malware Benchmark for Empowering Researchers

    Jupyter Notebook 943 277

  5. sophos/SOREL-20M sophos/SOREL-20M Public

    Sophos-ReversingLabs 20 million sample dataset

    Python 637 132