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Yizheng Chen

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I am a Postdoctoral Researcher at Columbia University, working with Prof. Suman Jana. I received the PhD degree from Georgia Institute of Technology, advised by Prof. Wenke Lee and Prof. Manos Antonakakis. After my graduation, I spent a year as a security researcher at Baidu X-Lab. Before I went to Georgia Tech, I received the B.S. degree in Information Security from Fudan University, Shanghai, China, in 2011. In 2009, I spent one quarter as an undergraduate exchange student in University of California, Santa Barbara.

Research Interests

I am interested in designing and implementing secure machine learning systems, and applying machine learning and graphical models to solve security problems.

Publications


Preprints
  • On Training Robust PDF Malware Classifiers. [ pdf ]
    Yizheng Chen, Shiqi Wang, Dongdong She, and Suman Jana.

  • MixTrain: Scalable Training of Verifiably Robust Neural Networks. [ pdf ]
    Shiqi Wang, Yizheng Chen, Ahmed Abdou, and Suman Jana.
Conferences
  • Neutaint: Efficient Dynamic Taint Analysis with Neural Networks. [ pdf ]
    Dongdong She, Yizheng Chen, Abhishek Shah, Baishakhi Ray, and Suman Jana.
    In proceedings of the 41th IEEE Symposium on Security and Privacy (S&P/Oakland), San Francisco, CA, May, 2020. (to appear)

  • Practical Attacks Against Graph-based Clustering. [ pdf ]
    Yizheng Chen, Yacin Nadji, Athanasios Kountouras, Fabian Monrose, Roberto Perdisci, Manos Antonakakis, and Nikolaos Vasiloglou.
    In proceedings of the 24th ACM Conference on Computer and Communications Security (CCS), Dallas, TX, October, 2017.
    * Top 10 Finalist of the CSAW'17 Applied Research Competition

  • Hiding in Plain Sight: A Longitudinal Study of Combosquatting Abuse. [ pdf ]
    Panagiotis Kintis, Najmeh Miramirkhani, Charles Lever, Yizheng Chen, Rosa Romero-Gómez, Nikolaos Pitropakis, Nick Nikiforakis, and Manos Antonakakis.
    In proceedings of the 24th ACM Conference on Computer and Communications Security (CCS), Dallas, TX, October, 2017.
    News: Domain Name Wire, Georgia Tech, EurekAlert!, ZDNet, Domain Pulse, World Trademark Review, GIGALAW
    Visualization: Combosquatting Clusters

  • Measuring Network Reputation in the Ad-Bidding Process. [ pdf | cite ]
    Yizheng Chen, Yacin Nadji, Rosa Romero-Gómez, Manos Antonakakis, and David Dagon.
    In proceedings of The 14th Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA), Bonn, Germany, July 6-7, 2017.

  • Enabling Network Security Through Active DNS Datasets. [ pdf | cite | data ]
    Athanasios Kountouras, Panagiotis Kintis, Chaz Lever, Yizheng Chen, Yacin Nadji, David Dagon, Manos Antonakakis, and Rodney Joffe.
    In proceedings of The 19th International Symposium on Research in Attacks, Intrusions and Defenses (RAID), Telecom SudParis, Evry, France, September 19-21, 2016.
    Dataset Contribution: Active DNS Dataset

  • Financial Lower Bounds of Online Advertising Abuse. [ pdf | cite | TDSS-TDL4 Domains ]
    Yizheng Chen, Panagiotis Kintis, Manos Antonakakis, Yacin Nadji, David Dagon, Wenke Lee, and Michael Farrell.
    In proceedings of The 13th Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA), Donostia-San Sebastián, Spain, July 7-8, 2016.

  • On the Feasibility of Large-Scale Infections of iOS Devices. [ pdf | cite ]
    Tielei Wang, Yeongjin Jang, Yizheng Chen, Pak-Ho Chung, Billy Lau, and Wenke Lee.
    In proceedings of The 23rd USENIX Security Symposium (Security), San Diego, CA, August 2014.
    News: The Register, Wired, Toms Guide, ComputerWorld, PCWorld

  • DNS Noise: Measuring the Pervasiveness of Disposable Domains in Modern DNS Traffic.[ pdf | cite ]
    Yizheng Chen, Manos Antonakakis, Roberto Perdisci, Yacin Nadji, David Dagon, and Wenke Lee.
    In proceedings of The 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Atlanta, Georgia, June 2014.
Workshops
  • Enhancing Gradient-based Attacks with Symbolic Intervals. [ pdf | code ]
    Shiqi Wang, Yizheng Chen, Ahmed Abdou, and Suman Jana.
    To appear in ICML Workshop on Security and Privacy of Machine Learning, Long Beach, CA, June, 2019. Oral Presentation.
    Interval attacks appear on MadryLab MNIST Challenge Leaderboard

  • FeatNet: Large-scale Fraud Device Detection by Network Representation Learning with Rich Features. [ pdf ]
    Chao Xu, Zhentan Feng, Yizheng Chen, Minghua Wang, and Tao Wei.
    In proceedings of the 11th ACM Workshop on Artificial Intelligence and Security (AISec), Toronto, Canada, October, 2018.

Talks

Academic Service

Technical Program Committee Member
  • ACM Workshop on Artificial Intelligence and Security 2019
  • CVPR Workshop on Adversarial Machine Learning in Real-World Computer Vision Systems 2019
  • ICML Workshop on Security and Privacy of Machine Learning 2019
  • NIPS Workshop on Security in Machine Learning 2018
  • IEEE Deep Learning and Security Workshop 2018, 2019
Reviewer
  • Qualification Round judge for New York University’s CSAW Cyber Security Applied Research Paper Competition 2018
  • ACM Transactions on Privacy and Security 2019
  • Elsevier Computers and Security 2019
  • IEEE Wiley Security and Privacy 2018
  • IEEE Security and Privacy Journal Special Issue: Digital Forensics 2017

Honors & Awards

  • Top 10 Finalist of the CSAW Applied Research Paper Competition, 2017
  • Google Anita Borg Memorial Scholarship, 2010

Contact

surrealyz at gmail.com