DNS Noise: Measuring the Pervasiveness of Disposable Domains in Modern DNS Traffic. - Yizheng Chen 001; Manos Antonakakis; Roberto Perdisci; Yacin Nadji; David Dagon; Wenke Lee (DSN, 2014)

On the Feasibility of Large-Scale Infections of iOS Devices. - Tielei Wang; Yeongjin Jang; Yizheng Chen 001; Simon P. Chung; Billy Lau; Wenke Lee (USENIX Security Symposium, 2014)

Financial Lower Bounds of Online Advertising Abuse - A Four Year Case Study of the TDSS/TDL4 Botnet. - Yizheng Chen 001; Panagiotis Kintis; Manos Antonakakis; Yacin Nadji; David Dagon; Wenke Lee; Michael Farrell (DIMVA, 2016)

Enabling Network Security Through Active DNS Datasets. - Athanasios Kountouras; Panagiotis Kintis; Chaz Lever; Yizheng Chen 001; Yacin Nadji; David Dagon; Manos Antonakakis; Rodney Joffe (RAID, 2016)

Practical Attacks Against Graph-based Clustering. - Yizheng Chen 001; Yacin Nadji; Athanasios Kountouras; Fabian Monrose; Roberto Perdisci; Manos Antonakakis; Nikolaos Vasiloglou (CCS, 2017)

Hiding in Plain Sight: A Longitudinal Study of Combosquatting Abuse. - Panagiotis Kintis; Najmeh Miramirkhani; Charles Lever; Yizheng Chen 001; Rosa Romero Gómez; Nikolaos Pitropakis; Nick Nikiforakis; Manos Antonakakis (CCS, 2017)

Measuring Network Reputation in the Ad-Bidding Process. - Yizheng Chen 001; Yacin Nadji; Rosa Romero Gómez; Manos Antonakakis; David Dagon (DIMVA, 2017)

Measuring lower bounds of the financial abuse to online advertisers: A four year case study of the TDSS/TDL4 Botnet. - Yizheng Chen 001; Panagiotis Kintis; Manos Antonakakis; Yacin Nadji; David Dagon; Michael Farrell (Comput. Secur., 2017)

FeatNet: Large-scale Fraud Device Detection by Network Representation Learning with Rich Features. - Chao Xu; Zhentan Feng; Yizheng Chen 001; Minghua Wang; Tao Wei 002 (AISec@CCS, 2018)

MixTrain: Scalable Training of Formally Robust Neural Networks. - Shiqi Wang 002; Yizheng Chen 001; Ahmed Abdou; Suman Jana (CoRR, 2018)

Improving robustness of DNS graph clustering against noise. - Yizheng Chen 001 (2018)

Enhancing Gradient-based Attacks with Symbolic Intervals. - Shiqi Wang 002; Yizheng Chen 001; Ahmed Abdou; Suman Jana (CoRR, 2019)

Neutaint: Efficient Dynamic Taint Analysis with Neural Networks. - Dongdong She; Yizheng Chen 001; Baishakhi Ray; Suman Jana (CoRR, 2019)

Training Robust Tree Ensembles for Security. - Yizheng Chen 001; Shiqi Wang 002; Weifan Jiang; Asaf Cidon; Suman Jana (CoRR, 2019)

Neutaint: Efficient Dynamic Taint Analysis with Neural Networks. - Dongdong She; Yizheng Chen 001; Abhishek Shah; Baishakhi Ray; Suman Jana (SP, 2020)

On Training Robust PDF Malware Classifiers. - Yizheng Chen 001; Shiqi Wang 002; Dongdong She; Suman Jana (USENIX Security Symposium, 2020)

Learning Security Classifiers with Verified Global Robustness Properties. - Yizheng Chen 001; Shiqi Wang 002; Yue Qin; Xiaojing Liao; Suman Jana; David A. Wagner 001 (CCS, 2021)

Session details: Session 3: Privacy-Preserving Machine Learning. - Yizheng Chen 001 (AISec@CCS, 2021)

SEAT: Similarity Encoder by Adversarial Training for Detecting Model Extraction Attack Queries. - Zhanyuan Zhang; Yizheng Chen 001; David A. Wagner 001 (AISec@CCS, 2021)

Cost-Aware Robust Tree Ensembles for Security Applications. - Yizheng Chen 001; Shiqi Wang 002; Weifan Jiang; Asaf Cidon; Suman Jana (USENIX Security Symposium, 2021)

Part-Based Models Improve Adversarial Robustness. - Chawin Sitawarin; Kornrapat Pongmala; Yizheng Chen 001; Nicholas Carlini; David A. Wagner 001 (ICLR, 2023)

DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection. - Yizheng Chen 001; Zhoujie Ding; Lamya Alowain; Xinyun Chen; David A. Wagner 001 (RAID, 2023)

Continuous Learning for Android Malware Detection. - Yizheng Chen 001; Zhoujie Ding; David A. Wagner 001 (USENIX Security Symposium, 2023)

DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection. - Yizheng Chen 001; Zhoujie Ding; Xinyun Chen; David A. Wagner 001 (CoRR, 2023)

Demystifying Behavior-Based Malware Detection at Endpoints. - Yigitcan Kaya; Yizheng Chen 001; Shoumik Saha; Fabio Pierazzi; Lorenzo Cavallaro; David A. Wagner 001; Tudor Dumitras (CoRR, 2024)

Vulnerability Detection with Code Language Models: How Far are We? - Yangruibo Ding; Yanjun Fu; Omniyyah Ibrahim; Chawin Sitawarin; Xinyun Chen; Basel Alomair; David A. Wagner 001; Baishakhi Ray; Yizheng Chen 001 (ICSE, 2025)

ML-Based Behavioral Malware Detection Is Far From a Solved Problem. - Yigitcan Kaya; Yizheng Chen 001; Marcus Botacin; Shoumik Saha; Fabio Pierazzi; Lorenzo Cavallaro; David A. Wagner 001; Tudor Dumitras (SaTML, 2025)