Zecheng He


Ph.D. Candidate
Department of Electrical and Computer Engineering
Princeton University

Email: zechengh@princeton.edu


I am a final-year PhD candidate in PALMS group, Department of Electrical and Computer Engineering at Princeton University, advised by Prof. Ruby B. Lee. I received M.A. in Electrical and Computer Engineering from Princeton University in 2017 and B.E. in Electronic Information Engineering from University of Science and Technology of China (USTC) in 2015, respectively.

Research



Publications


    Google Scholar

  • A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks
    Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, and S. Kevin Zhou
    MICCAI, 2021, accepted, to appear
    [arXiv]

  • ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces
    Zecheng He, Srinivas Sunkara, Xiaoxue Zang, Ying Xu, Lijuan Liu, Nevan Wichers, Gabriel Schubiner, Ruby B. Lee, and JD Chen
    AAAI Conference on Artificial Intelligence (AAAI), 2021
    [PDF]

  • New Models for Understanding and Reasoning about Speculative Execution Attacks
    Zecheng He, Guangyuan Hu, and Ruby B. Lee
    IEEE International Symposium on High Performance Computer Architecture (HPCA), 2021
    [PDF]

  • Smartphone Impostor Detection with Behavioral Data Privacy and Minimalist Hardware Support
    Guangyuan Hu, Zecheng He, and Ruby B. Lee
    TinyML Symposium, 2021
    [PDF] Best Paper Award

  • Attacking and Protecting Data Privacy in Edge-Cloud Collaborative Inference Systems
    Zecheng He, Tianwei Zhang, and Ruby B. Lee
    IEEE Internet of Things Journal, 2020 (Journal, IF=9.515)
    [PDF]

  • Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection
    Qingsong Yao, Zecheng He, Hu Han, and S. Kevin Zhou
    MICCAI, 2020
    [PDF]

  • Model Inversion Attacks against Collaborative Inference
    Zecheng He, Tianwei Zhang, and Ruby B. Lee
    Annual Computer Security Applications Conference (ACSAC), 2019
    [PDF]

  • Sensitive-Sample Fingerprinting of Deep Neural Networks
    Zecheng He, Tianwei Zhang, and Ruby B. Lee
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
    [PDF]

  • Power-Grid Controller Anomaly Detection with Enhanced Temporal Deep Learning
    Zecheng He, Aswin Raghavan, Guangyuan Hu, Sek Chai, and Ruby B. Lee
    TrustCom, 2019
    [PDF]

  • How Secure Is Your Cache Against Side-channel Attacks?
    Zecheng He, and Ruby B. Lee
    IEEE/ACM International Symposium on Microarchitecture (MICRO), 2017
    [PDF]

  • Cross-Scale Color Image Restoration Under High Density Salt-and-Pepper Noise
    Zecheng He, Ketan Tang, and Lu Fang
    IEEE International Conference on Image Processing (ICIP), 2017
    [PDF]

  • Machine Learning Based DDoS Attack Detection from Source Side in Cloud
    Zecheng He, Tianwei Zhang, and Ruby B. Lee
    IEEE International Conference on Cyber Security and Cloud Computing, 2017
    [PDF]

    Preprint

  • New Models for Understanding and Reasoning about Speculative Execution Attacks
    Zecheng He, Guangyuan Hu, and Ruby B. Lee
    [arXiv]

  • VerIDeep: Verifying Integrity of Deep Neural Networks through Sensitive-Sample Fingerprinting
    Zecheng He, Tianwei Zhang, and Ruby B. Lee
    [arXiv]

  • Privacy-preserving Machine Learning through Data Obfuscation
    Tianwei Zhang, Zecheng He, and Ruby B. Lee
    [arXiv]

    Patent

  • Anomalous Behavior Detection in Processor Based Systems
    U.S. Patent Application No. 16/410,675
    Sek Chai, Zecheng He, Aswin Raghavan, and Ruby B. Lee

Work Experience


    Internship

  • Research Intern, Google Research
    May 2020 - Aug 2020

    Mountain View, CA
    Multimodal Dialogue Team
    User actions for multimodal UI embedding.

  • Software Engineer Intern, Facebook
    May 2019 - Aug 2019

    Menlo Park, CA
    Core ML Team, Business Integrity
    Policy-violating ads detection.

  • Research Intern, SRI International
    Jun 2017 - Sep 2017

    Princeton, NJ
    Center for Vision Technologies
    Real-time anomaly detection in power-grid controller system.

  • Research Intern, Futurewei
    Jun 2016 - Sep 2016

    Bridgewater, NJ
    Adaptive-depth convolutional neural network for image style transfer.


Selected Awards


  • Best Paper Award, TinyML Symposium, 2021
  • Gordon Y.S. Wu Fellowship in Engineering, Princeton University, 2015-2020
  • 1st place, Siemens Futuremaker Hackthon, 2018   [Press1] [Press2]
  • Guo Moruo Scholarship, USTC, 2015   (top 1%, highest award for undergraduate excellence)
  • Honor Degree, Elites Class in Information Science, USTC, 2015
  • National Scholarship, China, 2014
  • Honorable Fellowship, Institute of Electronics China Academy of Science, 2013

Invited Talks


  • "Security Meets Deep Learning in the Cloud"
    Google, Remote, Dec 2020

  • "Sensitive-Sample Fingerprinting of Deep Neural Networks"
    Princeton AI Seminar, Princeton, Oct 2020

  • "Security Meets Deep Learning"
    Futurewei Technologies, Remote, Sep 2020

  • "Security Meets Deep Learning"
    Princeton AI Seminar, Princeton, Apr 2019

  • "How Secure Is Your Cache Against Side-Channel Attacks?"
    SRC Techcon, Austin TX, Sep 2018

  • "Security in Deep Learning"
    Z2AI, Princeton NJ, Aug 2018

  • "Deep Learning Meets Security"
    SRI International, Princeton NJ, Jun 2018

  • "Modeling and Evaluatiing Cache Resilience Against Side-channel Attacks"
    Princeton Research Day, Princeton NJ, May 2018

  • "Security Verification of Resilience to Cache Side-Channel Attacks"
    SRC T3S Annual Meeting, Portland OR, Sep 2016


Professional Service


    Session Chair

  • Session 4, IEEE International Conference on Cyber Security and Cloud Computing, New York, NY, 2017

    PC Member

  • CYBER, 2021
  • Securware, 2020, 2021

    Reviewer

  • 2021: ISCA, IEEE TIM, IEEE TC, JISA
  • 2020: ISCA, MICRO, HPCA, IEEE TIM, JISA
  • 2019: S&P, IEEE SPL
  • 2018: CCS, S&P, MICRO, HPCA
  • 2017: MICRO, HASP, IEEE TC
  • 2016: MICRO

Education


  • Princeton University
    Ph.D, Electrical and Computer Engineering, Sep 2015 -
    M.A., Electrical and Computer Engineering, Sep 2015 - May 2017
    Advisor: Prof. Ruby B. Lee
    GPA: 3.92/4.00

  • University of Science and Technology of China (USTC)
    B.E., Electronic Information Engineering, Sep 2011 - May 2015
    GPA 4.00/4.30, rank 1/252

Teaching


  • Teaching Assistant, ELE 472 Architectures for Secure Computers and Smartphones, Princeton University, Fall'20
  • Teaching Assistant, ELE 115 Introduction to Computing: Programming Autonomous Vehicles, Princeton University, Spring'20
  • Teaching Assistant, ELE 470 Smartphone Security and Architecture, Princeton University, Fall'17
  • Teaching Assistant, Signals and Systems, University of Science and Technology of China (USTC), Spring'15
  • Teaching Assistant, The C Language Programing, University of Science and Technology of China (USTC), Fall'14