Yizheng Chen - RankMe

35 papers A* 10A 3B 2Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	ML-Based Behavioral Malware Detection Is Far From a Solved Problem. SaTML Yigitcan Kaya, Yizheng Chen, Marcus Botacin, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro, David A. Wagner, Tudor Dumitras
2025	A*	`conf`	Vulnerability Detection with Code Language Models: How Far are We? ICSE Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim, Chawin Sitawarin, Xinyun Chen, Basel Alomair, David A. Wagner, Baishakhi Ray, Yizheng Chen
2024	J	`jnl`	Demystifying Behavior-Based Malware Detection at Endpoints. CoRR Yigitcan Kaya, Yizheng Chen, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro, David A. Wagner, Tudor Dumitras
2024	J	`jnl`	Vulnerability Detection with Code Language Models: How Far Are We? CoRR Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim, Chawin Sitawarin, Xinyun Chen, Basel Alomair, David A. Wagner, Baishakhi Ray, Yizheng Chen
2023	A*	`conf`	Continuous Learning for Android Malware Detection. USENIX Security Symposium Yizheng Chen, Zhoujie Ding, David A. Wagner
2023	J	`jnl`	Continuous Learning for Android Malware Detection. CoRR Yizheng Chen, Zhoujie Ding, David A. Wagner
2023	A	`conf`	DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection. RAID Yizheng Chen, Zhoujie Ding, Lamya Alowain, Xinyun Chen, David A. Wagner
2023	J	`jnl`	DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection. CoRR Yizheng Chen, Zhoujie Ding, Xinyun Chen, David A. Wagner
2023	A*	`conf`	Part-Based Models Improve Adversarial Robustness. ICLR Chawin Sitawarin, Kornrapat Pongmala, Yizheng Chen, Nicholas Carlini, David A. Wagner
2022	J	`jnl`	Part-Based Models Improve Adversarial Robustness. CoRR Chawin Sitawarin, Kornrapat Pongmala, Yizheng Chen, Nicholas Carlini, David A. Wagner
2021	—	`ed.`	AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, Virtual Event, Republic of Korea, 15 November 2021 AISec@CCS Nicholas Carlini, Ambra Demontis, Yizheng Chen
2021	A*	`conf`	Cost-Aware Robust Tree Ensembles for Security Applications. USENIX Security Symposium Yizheng Chen, Shiqi Wang, Weifan Jiang, Asaf Cidon, Suman Jana
2021	A*	`conf`	Learning Security Classifiers with Verified Global Robustness Properties. CCS Yizheng Chen, Shiqi Wang, Yue Qin, Xiaojing Liao, Suman Jana, David A. Wagner
2021	J	`jnl`	Learning Security Classifiers with Verified Global Robustness Properties. CoRR Yizheng Chen, Shiqi Wang, Yue Qin, Xiaojing Liao, Suman Jana, David A. Wagner
2021	—	`conf`	SEAT: Similarity Encoder by Adversarial Training for Detecting Model Extraction Attack Queries. AISec@CCS Zhanyuan Zhang, Yizheng Chen, David A. Wagner
2021	—	`conf`	Session details: Session 3: Privacy-Preserving Machine Learning. AISec@CCS Yizheng Chen
2020	A*	`conf`	Neutaint: Efficient Dynamic Taint Analysis with Neural Networks. SP Dongdong She, Yizheng Chen, Abhishek Shah, Baishakhi Ray, Suman Jana
2020	A*	`conf`	On Training Robust PDF Malware Classifiers. USENIX Security Symposium Yizheng Chen, Shiqi Wang, Dongdong She, Suman Jana
2019	J	`jnl`	Enhancing Gradient-based Attacks with Symbolic Intervals. CoRR Shiqi Wang, Yizheng Chen, Ahmed Abdou, Suman Jana
2019	J	`jnl`	Neutaint: Efficient Dynamic Taint Analysis with Neural Networks. CoRR Dongdong She, Yizheng Chen, Baishakhi Ray, Suman Jana
2019	J	`jnl`	On Training Robust PDF Malware Classifiers. CoRR Yizheng Chen, Shiqi Wang, Dongdong She, Suman Jana
2019	J	`jnl`	Training Robust Tree Ensembles for Security. CoRR Yizheng Chen, Shiqi Wang, Weifan Jiang, Asaf Cidon, Suman Jana
2018	—	`conf`	FeatNet: Large-scale Fraud Device Detection by Network Representation Learning with Rich Features. AISec@CCS Chao Xu, Zhentan Feng, Yizheng Chen, Minghua Wang, Tao Wei
2018	—	`—`	Improving robustness of DNS graph clustering against noise. Yizheng Chen
2018	J	`jnl`	MixTrain: Scalable Training of Formally Robust Neural Networks. CoRR Shiqi Wang, Yizheng Chen, Ahmed Abdou, Suman Jana
2017	A*	`conf`	Hiding in Plain Sight: A Longitudinal Study of Combosquatting Abuse. CCS Panagiotis Kintis, Najmeh Miramirkhani, Charles Lever, Yizheng Chen, Rosa Romero Gómez, Nikolaos Pitropakis, Nick Nikiforakis, Manos Antonakakis
2017	J	`jnl`	Hiding in Plain Sight: A Longitudinal Study of Combosquatting Abuse. CoRR Panagiotis Kintis, Najmeh Miramirkhani, Charles Lever, Yizheng Chen, Rosa Romero Gómez, Nikolaos Pitropakis, Nick Nikiforakis, Manos Antonakakis
2017	B	`conf`	Measuring Network Reputation in the Ad-Bidding Process. DIMVA Yizheng Chen, Yacin Nadji, Rosa Romero Gómez, Manos Antonakakis, David Dagon
2017	J	`jnl`	Measuring lower bounds of the financial abuse to online advertisers: A four year case study of the TDSS/TDL4 Botnet. Comput. Secur. Yizheng Chen, Panagiotis Kintis, Manos Antonakakis, Yacin Nadji, David Dagon, Michael Farrell
2017	A*	`conf`	Practical Attacks Against Graph-based Clustering. CCS Yizheng Chen, Yacin Nadji, Athanasios Kountouras, Fabian Monrose, Roberto Perdisci, Manos Antonakakis, Nikolaos Vasiloglou
2017	J	`jnl`	Practical Attacks Against Graph-based Clustering. CoRR Yizheng Chen, Yacin Nadji, Athanasios Kountouras, Fabian Monrose, Roberto Perdisci, Manos Antonakakis, Nikolaos Vasiloglou
2016	A	`conf`	Enabling Network Security Through Active DNS Datasets. RAID Athanasios Kountouras, Panagiotis Kintis, Chaz Lever, Yizheng Chen, Yacin Nadji, David Dagon, Manos Antonakakis, Rodney Joffe
2016	B	`conf`	Financial Lower Bounds of Online Advertising Abuse - A Four Year Case Study of the TDSS/TDL4 Botnet. DIMVA Yizheng Chen, Panagiotis Kintis, Manos Antonakakis, Yacin Nadji, David Dagon, Wenke Lee, Michael Farrell
2014	A	`conf`	DNS Noise: Measuring the Pervasiveness of Disposable Domains in Modern DNS Traffic. DSN Yizheng Chen, Manos Antonakakis, Roberto Perdisci, Yacin Nadji, David Dagon, Wenke Lee
2014	A*	`conf`	On the Feasibility of Large-Scale Infections of iOS Devices. USENIX Security Symposium Tielei Wang, Yeongjin Jang, Yizheng Chen, Simon P. Chung, Billy Lau, Wenke Lee