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Yizheng Chen 0001
Person information
- affiliation: University of California, Berkeley, Berkeley, CA, USA
- affiliation (former): Columbia University, NY, USA
- affiliation (Ph.D.): Georgia Institute of Technology, GA, USA
Other persons with the same name
- Yizheng Chen — disambiguation page
- Yizheng Chen 0002
— Missouri University of Science and Technology, Rolla, MO, USA
- Yizheng Chen 0003 — Zhejiang Lab, Hangzhou, China
- Yizheng Chen 0004 — Hunan Institute of Engineering, Xiangtan, China
- Yizheng Chen 0005 — University of Wisconsin-Madison, WI, USA
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2020 – today
- 2024
- [i13]Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim, Chawin Sitawarin, Xinyun Chen, Basel Alomair, David A. Wagner, Baishakhi Ray, Yizheng Chen:
Vulnerability Detection with Code Language Models: How Far Are We? CoRR abs/2403.18624 (2024) - [i12]Yigitcan Kaya, Yizheng Chen, Shoumik Saha, Fabio Pierazzi
Demystifying Behavior-Based Malware Detection at Endpoints. CoRR abs/2405.06124 (2024) - 2023
- [c17]Chawin Sitawarin, Kornrapat Pongmala, Yizheng Chen, Nicholas Carlini, David A. Wagner:
Part-Based Models Improve Adversarial Robustness. ICLR 2023 - [c16]Yizheng Chen
DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection. RAID 2023: 654-668 - [c15]Yizheng Chen, Zhoujie Ding, David A. Wagner:
Continuous Learning for Android Malware Detection. USENIX Security Symposium 2023: 1127-1144 - [i11]Yizheng Chen, Zhoujie Ding, David A. Wagner:
Continuous Learning for Android Malware Detection. CoRR abs/2302.04332 (2023) - [i10]Yizheng Chen, Zhoujie Ding, Xinyun Chen, David A. Wagner:
DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection. CoRR abs/2304.00409 (2023) - 2022
- [i9]Chawin Sitawarin
Part-Based Models Improve Adversarial Robustness. CoRR abs/2209.09117 (2022) - 2021
- [c14]Yizheng Chen:
Session details: Session 3: Privacy-Preserving Machine Learning. AISec@CCS 2021 - [c13]Zhanyuan Zhang, Yizheng Chen, David A. Wagner:
SEAT: Similarity Encoder by Adversarial Training for Detecting Model Extraction Attack Queries. AISec@CCS 2021: 37-48 - [c12]Yizheng Chen, Shiqi Wang, Yue Qin, Xiaojing Liao, Suman Jana, David A. Wagner:
Learning Security Classifiers with Verified Global Robustness Properties. CCS 2021: 477-494 - [c11]Yizheng Chen, Shiqi Wang, Weifan Jiang, Asaf Cidon, Suman Jana:
Cost-Aware Robust Tree Ensembles for Security Applications. USENIX Security Symposium 2021: 2291-2308 - [e1]Nicholas Carlini, Ambra Demontis, Yizheng Chen:
AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, Virtual Event, Republic of Korea, 15 November 2021. ACM 2021, ISBN 978-1-4503-8657-9 [contents] - [i8]Yizheng Chen, Shiqi Wang, Yue Qin, Xiaojing Liao, Suman Jana, David A. Wagner:
Learning Security Classifiers with Verified Global Robustness Properties. CoRR abs/2105.11363 (2021) - 2020
- [c10]Dongdong She, Yizheng Chen, Abhishek Shah, Baishakhi Ray, Suman Jana:
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks. SP 2020: 1527-1543 - [c9]Yizheng Chen, Shiqi Wang, Dongdong She, Suman Jana:
On Training Robust PDF Malware Classifiers. USENIX Security Symposium 2020: 2343-2360
2010 – 2019
- 2019
- [i7]Yizheng Chen, Shiqi Wang, Dongdong She, Suman Jana:
On Training Robust PDF Malware Classifiers. CoRR abs/1904.03542 (2019) - [i6]Shiqi Wang
Enhancing Gradient-based Attacks with Symbolic Intervals. CoRR abs/1906.02282 (2019) - [i5]Dongdong She, Yizheng Chen, Baishakhi Ray, Suman Jana:
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks. CoRR abs/1907.03756 (2019) - [i4]Yizheng Chen, Shiqi Wang
Training Robust Tree Ensembles for Security. CoRR abs/1912.01149 (2019) - 2018
- [b1]Yizheng Chen:
Improving robustness of DNS graph clustering against noise. Georgia Institute of Technology, Atlanta, GA, USA, 2018 - [c8]Chao Xu, Zhentan Feng, Yizheng Chen, Minghua Wang
FeatNet: Large-scale Fraud Device Detection by Network Representation Learning with Rich Features. AISec@CCS 2018: 57-63 - [i3]Shiqi Wang
MixTrain: Scalable Training of Formally Robust Neural Networks. CoRR abs/1811.02625 (2018) - 2017
- [j1]Yizheng Chen, Panagiotis Kintis, Manos Antonakakis, Yacin Nadji, David Dagon, Michael Farrell:
Measuring lower bounds of the financial abuse to online advertisers: A four year case study of the TDSS/TDL4 Botnet. Comput. Secur. 67: 164-180 (2017) - [c7]Panagiotis Kintis, Najmeh Miramirkhani, Charles Lever, Yizheng Chen, Rosa Romero Gómez, Nikolaos Pitropakis, Nick Nikiforakis, Manos Antonakakis:
Hiding in Plain Sight: A Longitudinal Study of Combosquatting Abuse. CCS 2017: 569-586 - [c6]Yizheng Chen, Yacin Nadji, Athanasios Kountouras, Fabian Monrose, Roberto Perdisci
Practical Attacks Against Graph-based Clustering. CCS 2017: 1125-1142 - [c5]Yizheng Chen, Yacin Nadji, Rosa Romero Gómez, Manos Antonakakis, David Dagon:
Measuring Network Reputation in the Ad-Bidding Process. DIMVA 2017: 388-409 - [i2]Panagiotis Kintis, Najmeh Miramirkhani, Charles Lever, Yizheng Chen, Rosa Romero Gómez, Nikolaos Pitropakis, Nick Nikiforakis, Manos Antonakakis:
Hiding in Plain Sight: A Longitudinal Study of Combosquatting Abuse. CoRR abs/1708.08519 (2017) - [i1]Yizheng Chen, Yacin Nadji, Athanasios Kountouras, Fabian Monrose, Roberto Perdisci, Manos Antonakakis, Nikolaos Vasiloglou:
Practical Attacks Against Graph-based Clustering. CoRR abs/1708.09056 (2017) - 2016
- [c4]Yizheng Chen, Panagiotis Kintis, Manos Antonakakis, Yacin Nadji, David Dagon, Wenke Lee, Michael Farrell:
Financial Lower Bounds of Online Advertising Abuse - A Four Year Case Study of the TDSS/TDL4 Botnet. DIMVA 2016: 231-254 - [c3]Athanasios Kountouras, Panagiotis Kintis, Chaz Lever, Yizheng Chen, Yacin Nadji, David Dagon, Manos Antonakakis, Rodney Joffe:
Enabling Network Security Through Active DNS Datasets. RAID 2016: 188-208 - 2014
- [c2]Yizheng Chen, Manos Antonakakis, Roberto Perdisci
DNS Noise: Measuring the Pervasiveness of Disposable Domains in Modern DNS Traffic. DSN 2014: 598-609 - [c1]Tielei Wang, Yeongjin Jang, Yizheng Chen, Simon P. Chung, Billy Lau, Wenke Lee:
On the Feasibility of Large-Scale Infections of iOS Devices. USENIX Security Symposium 2014: 79-93
Coauthor Index
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