Yizheng Chen

According to our database, Yizheng Chen authored at least 26 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Demystifying Behavior-Based Malware Detection at Endpoints.

Yigitcan Kaya, Yizheng Chen, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro, David A. Wagner, 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, Baishakhi Ray, Yizheng Chen

CoRR, 2024

2023

DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection.

Yizheng Chen, Zhoujie Ding, Xinyun Chen, David A. Wagner

CoRR, 2023

Continuous Learning for Android Malware Detection.

Yizheng Chen, Zhoujie Ding, David A. Wagner

Proceedings of the 32nd USENIX Security Symposium, 2023

DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection.

Yizheng Chen, Zhoujie Ding, Lamya Alowain, Xinyun Chen, David A. Wagner

Proceedings of the 26th International Symposium on Research in Attacks, 2023

Part-Based Models Improve Adversarial Robustness.

Chawin Sitawarin, Kornrapat Pongmala, Yizheng Chen, Nicholas Carlini, David A. Wagner

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Cost-Aware Robust Tree Ensembles for Security Applications.

Yizheng Chen, Shiqi Wang, Weifan Jiang, Asaf Cidon, Suman Jana

Proceedings of the 30th USENIX Security Symposium, 2021

SEAT: Similarity Encoder by Adversarial Training for Detecting Model Extraction Attack Queries.

Zhanyuan Zhang, Yizheng Chen, David A. Wagner

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

Session details: Session 3: Privacy-Preserving Machine Learning.

Yizheng Chen

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

Learning Security Classifiers with Verified Global Robustness Properties.

Yizheng Chen, Shiqi Wang, Yue Qin, Xiaojing Liao, Suman Jana, David A. Wagner

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

On Training Robust PDF Malware Classifiers.

Yizheng Chen, Shiqi Wang, Dongdong She, Suman Jana

Proceedings of the 29th USENIX Security Symposium, 2020

Neutaint: Efficient Dynamic Taint Analysis with Neural Networks.

Dongdong She, Yizheng Chen, Abhishek Shah, Baishakhi Ray, Suman Jana

Proceedings of the 2020 IEEE Symposium on Security and Privacy, 2020

2019

Training Robust Tree Ensembles for Security.

Yizheng Chen, Shiqi Wang, Weifan Jiang, Asaf Cidon, Suman Jana

CoRR, 2019

Neutaint: Efficient Dynamic Taint Analysis with Neural Networks.

Dongdong She, Yizheng Chen, Baishakhi Ray, Suman Jana

CoRR, 2019

Enhancing Gradient-based Attacks with Symbolic Intervals.

Shiqi Wang, Yizheng Chen, Ahmed Abdou, Suman Jana

CoRR, 2019

2018

Improving robustness of DNS graph clustering against noise.

Yizheng Chen

PhD thesis, 2018

MixTrain: Scalable Training of Formally Robust Neural Networks.

Shiqi Wang, Yizheng Chen, Ahmed Abdou, Suman Jana

CoRR, 2018

FeatNet: Large-scale Fraud Device Detection by Network Representation Learning with Rich Features.

Chao Xu, Zhentan Feng, Yizheng Chen, Minghua Wang, Tao Wei

Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security, 2018

2017

Measuring lower bounds of the financial abuse to online advertisers: A four year case study of the TDSS/TDL4 Botnet.

Yizheng Chen, Panagiotis Kintis, Manos Antonakakis, Yacin Nadji, David Dagon, Michael Farrell

Comput. Secur., 2017

Measuring Network Reputation in the Ad-Bidding Process.

Yizheng Chen, Yacin Nadji, Rosa Romero Gómez, Manos Antonakakis, David Dagon

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2017

Hiding in Plain Sight: A Longitudinal Study of Combosquatting Abuse.

Panagiotis Kintis, Najmeh Miramirkhani, Charles Lever, Yizheng Chen, Rosa Romero Gómez, Nikolaos Pitropakis, Nick Nikiforakis, Manos Antonakakis

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

Practical Attacks Against Graph-based Clustering.

Yizheng Chen, Yacin Nadji, Athanasios Kountouras, Fabian Monrose, Roberto Perdisci, Manos Antonakakis, Nikolaos Vasiloglou

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

2016

Enabling Network Security Through Active DNS Datasets.

Athanasios Kountouras, Panagiotis Kintis, Chaz Lever, Yizheng Chen, Yacin Nadji, David Dagon, Manos Antonakakis, Rodney Joffe

Proceedings of the Research in Attacks, Intrusions, and Defenses, 2016

Financial Lower Bounds of Online Advertising Abuse - A Four Year Case Study of the TDSS/TDL4 Botnet.

Yizheng Chen, Panagiotis Kintis, Manos Antonakakis, Yacin Nadji, David Dagon, Wenke Lee, Michael Farrell

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2016

2014

On the Feasibility of Large-Scale Infections of iOS Devices.

Tielei Wang, Yeongjin Jang, Yizheng Chen, Simon P. Chung, Billy Lau, Wenke Lee

Proceedings of the 23rd USENIX Security Symposium, San Diego, CA, USA, August 20-22, 2014., 2014

DNS Noise: Measuring the Pervasiveness of Disposable Domains in Modern DNS Traffic.

Yizheng Chen, Manos Antonakakis, Roberto Perdisci, Yacin Nadji, David Dagon, Wenke Lee

Proceedings of the 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2014