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ORCIDWeifeng Li 0002
Person information
- affiliation: University of Georgia, Management Information Systems, Athens, Georgia
- affiliation: University of Arizona, Department of Management Information Systems, Aritificial Intelligence Lab, Tucson, AZ, USA
Other persons with the same name
- Weifeng Li — disambiguation page
- Weifeng Li 0001 — Tsinghua University, Department of Electronic Engineering/Graduate School at Shenzhen, China (and 3 more)
- Weifeng Li 0003
![[0000-0001-5386-3019]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5386-3019")
— University of Hong Kong, Department of Urban Planning and Design, Hong Kong (and 1 more) - Weifeng Li 0004 — Nanjing University, School of Electronic Science and Engineering, China
- Weifeng Li 0005 — North Carolina State University, Electrical and Computer Engineering Department, Raleigh, NC, USA
- Weifeng Li 0006 — Chinese Academy of Sciences, State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Beijing, China
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2020 – today
- 2024
[j7]Jack Hughes, Sergio Pastrana, Alice Hutchings, Sadia Afroz, Sagar Samtani, Weifeng Li, Ericsson Santana Marin:
The Art of Cybercrime Community Research. ACM Comput. Surv. 56(6): 155:1-155:26 (2024)- [j6]Yidong Chai, Yi Liu, Weifeng Li, Bin Zhu, Hongyan Liu, Yuanchun Jiang:
An interpretable wide and deep model for online disinformation detection. Expert Syst. Appl. 237(Part B): 121588 (2024) - [i4]Brian Etter, James Lee Hu, Mohammedreza Ebrahimi, Weifeng Li, Xin Li, Hsinchun Chen:
Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach. CoRR abs/2402.02600 (2024) - 2023
- [c20]Brian Etter, James Lee Hu, Mohammadreza Ebrahimi, Weifeng Li, Xin Li, Hsinchun Chen:
Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach. ICDM 2023: 101-109 - [c19]Brian Etter, James Lee Hu, Mohammadreza Ebrahimi, Weifeng Li, Xin Li, Hsinchun Chen:
Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach. ICDM (Workshops) 2023: 1313-1321 - [c18]Ruicheng Liang, Yidong Chai, Weifeng Li, Michael Chau, Yuanchun Jiang, Yezheng Liu:
Assessing and Enhancing Adversarial Robustness for Review-Based Recommender System: A Design Science Approach. PACIS 2023: 211 - 2022
- [j5]Weifeng Li, Yidong Chai:
Assessing and Enhancing Adversarial Robustness of Predictive Analytics: An Empirically Tested Design Framework. J. Manag. Inf. Syst. 39(2): 542-572 (2022) - [j4]Yidong Chai, Yonghang Zhou, Weifeng Li, Yuanchun Jiang:
An Explainable Multi-Modal Hierarchical Attention Model for Developing Phishing Threat Intelligence. IEEE Trans. Dependable Secur. Comput. 19(2): 790-803 (2022) - [j3]Ning Zhang, Mohammadreza Ebrahimi, Weifeng Li, Hsinchun Chen:
Counteracting Dark Web Text-Based CAPTCHA with Generative Adversarial Learning for Proactive Cyber Threat Intelligence. ACM Trans. Manag. Inf. Syst. 13(2): 21:1-21:21 (2022) - [c17]James Lee Hu, Mohammadreza Ebrahimi, Weifeng Li, Xin Li, Hsinchun Chen:
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants. ICDM (Workshops) 2022: 1-8 - [c16]MohammadReza Ebrahimi, Weifeng Li, Yidong Chai, Jason Pacheco, Hsinchun Chen:
An Adversarial Reinforcement Learning Framework for Robust Machine Learning-based Malware Detection. ICDM (Workshops) 2022: 567-576 - [i3]Ning Zhang, Mohammadreza Ebrahimi, Weifeng Li, Hsinchun Chen:
Counteracting Dark Web Text-Based CAPTCHA with Generative Adversarial Learning for Proactive Cyber Threat Intelligence. CoRR abs/2201.02799 (2022) - [i2]James Lee Hu, Mohammadreza Ebrahimi, Weifeng Li, Xin Li, Hsinchun Chen:
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants. CoRR abs/2210.15429 (2022) - 2021
- [c15]Zhiyuan Ding, Victor A. Benjamin, Weifeng Li, Xueyan Yin:
Exploring Differences Among Darknet and Surface Internet Hacking Communities. ISI 2021: 1-3 - [c14]Yizhi Liu, Fang Yu Lin, Mohammadreza Ebrahimi, Weifeng Li, Hsinchun Chen:
Automated PII Extraction from Social Media for Raising Privacy Awareness: A Deep Transfer Learning Approach. ISI 2021: 1-6 - [c13]Mohammadreza Ebrahimi, Jason Pacheco, Weifeng Li, James Lee Hu, Hsinchun Chen:
Binary Black-Box Attacks Against Static Malware Detectors with Reinforcement Learning in Discrete Action Spaces. SP (Workshops) 2021: 85-91 - [i1]Yizhi Liu, Fang Yu Lin, Mohammadreza Ebrahimi, Weifeng Li, Hsinchun Chen:
Automated PII Extraction from Social Media for Raising Privacy Awareness: A Deep Transfer Learning Approach. CoRR abs/2111.09415 (2021) - 2020
- [c12]Fang Yu Lin, Yizhi Liu, Mohammadreza Ebrahimi, Zara Ahmad-Post, James Lee Hu, Jingyu Xin, Sagar Samtani, Weifeng Li, Hsinchun Chen:
Linking Personally Identifiable Information from the Dark Web to the Surface Web: A Deep Entity Resolution Approach. ICDM (Workshops) 2020: 488-495 - [c11]Bingyan Du, Pranay Singhal, Victor A. Benjamin, Weifeng Li:
Detecting Cyber-Adversarial Videos in Traditional Social media. ISI 2020: 1-3 - [c10]Yizhi Liu, Fang Yu Lin, Zara Ahmad-Post, Mohammadreza Ebrahimi, Ning Zhang, James Lee Hu, Jingyu Xin, Weifeng Li, Hsinchun Chen:
Identifying, Collecting, and Monitoring Personally Identifiable Information: From the Dark Web to the Surface Web. ISI 2020: 1-6 - [c9]Ning Zhang, Mohammadreza Ebrahimi, Weifeng Li, Hsinchun Chen:
A Generative Adversarial Learning Framework for Breaking Text-Based CAPTCHA in the Dark Web. ISI 2020: 1-6
2010 – 2019
- 2019
- [c8]Yidong Chai, Weifeng Li:
Towards Deep Learning Interpretability: A Topic Modeling Approach. ICIS 2019 - 2018
- [j2]Weifeng Li, Junming Yin, Hsinchun Chen:
Supervised Topic Modeling Using Hierarchical Dirichlet Process-Based Inverse Regression: Experiments on E-Commerce Applications. IEEE Trans. Knowl. Data Eng. 30(6): 1192-1205 (2018) - 2016
- [j1]Weifeng Li, Hsinchun Chen, Jay F. Nunamaker Jr.:
Identifying and Profiling Key Sellers in Cyber Carding Community: AZSecure Text Mining System. J. Manag. Inf. Syst. 33(4): 1059-1086 (2016) - [c7]Weifeng Li, Junming Yin, Hsinchun Chen:
Identifying High Quality Carding Services in Underground Economy using Nonparametric Supervised Topic Model. ICIS 2016 - [c6]Zhen Fang, Xinyi Zhao, Qiang Wei, Guoqing Chen, Yong Zhang, Chunxiao Xing, Weifeng Li, Hsinchun Chen:
Exploring key hackers and cybersecurity threats in Chinese hacker communities. ISI 2016: 13-18 - [c5]Kangzhi Zhao, Yong Zhang, Chunxiao Xing, Weifeng Li, Hsinchun Chen:
Chinese underground market jargon analysis based on unsupervised learning. ISI 2016: 97-102 - [c4]Weifeng Li, Junming Yin, Hsinchun Chen:
Targeting key data breach services in underground supply chain. ISI 2016: 322-324 - 2015
- [c3]Victor A. Benjamin, Weifeng Li, Thomas Holt, Hsinchun Chen:
Exploring threats and vulnerabilities in hacker web: Forums, IRC and carding shops. ISI 2015: 85-90 - 2014
- [c2]Ahmed Abbasi, Weifeng Li, Victor A. Benjamin, Shiyu Hu, Hsinchun Chen:
Descriptive Analytics: Examining Expert Hackers in Web Forums. JISIC 2014: 56-63 - [c1]Weifeng Li, Hsinchun Chen:
Identifying Top Sellers In Underground Economy Using Deep Learning-Based Sentiment Analysis. JISIC 2014: 64-67
Coauthor Index
aka: MohammadReza Ebrahimi
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