Wei-Han Lee

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 30

Top Topics

Anomaly Detection

User Authentication

Top Venues

ICISSP (Revised Selected Papers)

USENIX Security Symposium

Publications

Tianshu Zhang, Changchang Liu, Wei-Han Lee, Yu Su, Huan Sun
Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms. ACL (1) (2023)
Tianshu Zhang, Changchang Liu, Wei-Han Lee, Yu Su, Huan Sun
Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms. CoRR (2023)
Yuang Jiang, Shiqiang Wang, Víctor Valls, Bong Jun Ko, Wei-Han Lee, Kin K. Leung, Leandros Tassiulas
Model Pruning Enables Efficient Federated Learning on Edge Devices. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Pengrui Quan, Wei-Han Lee, Mudhakar Srivatsa, Mani B. Srivastava
Enhancing Robustness in Federated Learning by Supervised Anomaly Detection. ICPR (2022)
Binbin Zhao, Shouling Ji, Wei-Han Lee, Changting Lin, Haiqin Weng, Jingzheng Wu, Pan Zhou, Liming Fang, Raheem Beyah
A Large-Scale Empirical Study on the Vulnerability of Deployed IoT Devices. IEEE Trans. Dependable Secur. Comput. 19 (3) (2022)
Yitao Hu, Weiwu Pang, Xiaochen Liu, Rajrup Ghosh, Bongjun Ko, Wei-Han Lee, Ramesh Govindan
Rim: Offloading Inference to the Edge. IoTDI (2021)
Yuwei Li, Shouling Ji, Yuan Chen, Sizhuang Liang, Wei-Han Lee, Yueyao Chen, Chenyang Lyu, Chunming Wu, Raheem Beyah, Peng Cheng, Kangjie Lu, Ting Wang
UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers. USENIX Security Symposium (2021)
Wei-Han Lee, Steve Millman, Nirmit Desai, Mudhakar Srivatsa, Changchang Liu
NeuralFP: Out-of-distribution Detection using Fingerprints of Neural Networks. ICPR (2020)
Peiyu Liu, Shouling Ji, Lirong Fu, Kangjie Lu, Xuhong Zhang, Wei-Han Lee, Tao Lu, Wenzhi Chen, Raheem Beyah
Understanding the Security Risks of Docker Hub. ESORICS (1) (2020)
Yuwei Li, Shouling Ji, Yuan Chen, Sizhuang Liang, Wei-Han Lee, Yueyao Chen, Chenyang Lyu, Chunming Wu, Raheem Beyah, Peng Cheng, Kangjie Lu, Ting Wang
UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers. CoRR (2020)
Changchang Liu, Wei-Han Lee, Seraphin B. Calo
Neuraltran: Optimal Data Transformation for Privacy-Preserving Machine Learning by Leveraging Neural Networks. DSN (Supplements) (2020)
Chenyang Lyu, Shouling Ji, Chao Zhang, Yuwei Li, Wei-Han Lee, Yu Song, Raheem Beyah
MOPT: Optimized Mutation Scheduling for Fuzzers. USENIX Security Symposium (2019)
Yuang Jiang, Shiqiang Wang, Bong Jun Ko, Wei-Han Lee, Leandros Tassiulas
Model Pruning Enables Efficient Federated Learning on Edge Devices. CoRR (2019)
Jae-wook Ahn, Keith Grueneberg, Bong Jun Ko, Wei-Han Lee, Eduardo Morales, Shiqiang Wang, Xiping Wang, David Wood
Acoustic anomaly detection system: demo abstract. SenSys (2019)
Wei-Han Lee, Bong Jun Ko, Shiqiang Wang, Changchang Liu, Kin K. Leung
Exact Incremental and Decremental Learning for LS-SVM. ICIP (2019)
Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee
Blind De-anonymization Attacks using Social Networks. CoRR (2018)
Wei-Han Lee, Jorge Ortiz, Bongjun Ko, Ruby B. Lee
Time Series Segmentation through Automatic Feature Learning. CoRR (2018)
Wei-Han Lee, Jorge Ortiz, Bongjun Ko, Ruby B. Lee
Inferring Smartphone Users' Handwritten Patterns by using Motion Sensors. ICISSP (2018)
Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee
Quantification of De-anonymization Risks in Social Networks. ICISSP (2017)
Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee
How to Quantify Graph De-anonymization Risks. ICISSP (Revised Selected Papers) (2017)
Wei-Han Lee, Ruby B. Lee
Implicit Smartphone User Authentication with Sensors and Contextual Machine Learning. CoRR (2017)
Wei-Han Lee, Xiaochen Liu, Yilin Shen, Hongxia Jin, Ruby B. Lee
Secure Pick Up: Implicit Authentication When You Start Using the Smartphone. SACMAT (2017)
Wei-Han Lee, Ruby B. Lee
Implicit Sensor-based Authentication of Smartphone Users with Smartwatch. CoRR (2017)
Wei-Han Lee, Ruby B. Lee
Sensor-Based Implicit Authentication of Smartphone Users. DSN (2017)
Wei-Han Lee, Ruby B. Lee
Multi-sensor authentication to improve smartphone security. CoRR (2017)
Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee
Blind De-anonymization Attacks using Social Networks. WPES@CCS (2017)
Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee
Quantification of De-anonymization Risks in Social Networks. CoRR (2017)
Wei-Han Lee, Ruby B. Lee
Implicit Smartphone User Authentication with Sensors and Contextual Machine Learning. DSN (2017)
Wei-Han Lee, Xiaochen Liu, Yilin Shen, Hongxia Jin, Ruby B. Lee
Secure Pick Up: Implicit Authentication When You Start Using the Smartphone. CoRR (2017)
Wei-Han Lee, Ruby B. Lee
Implicit Sensor-based Authentication of Smartphone Users with Smartwatch. HASP@ISCA (2016)
Wei-Han Lee, Ruby B. Lee
Multi-sensor Authentication to Improve Smartphone Security. ICISSP (2015)
Wei-Han Lee, Jyi-Tsong Lin, Yu-Chun Wang, Po-Hsieh Lin, Chien-Chia Lai, Yong-Huang Lin, Tin-Chun Chang
Using GIDL mechanism for low-power consumption and data retention time improvement in a double-gate nanowire TFT 1T-DRAM with Fin-Gate and Pillar-Body structure. ASICON (2015)
Shouling Ji, Shukun Yang, Ting Wang, Changchang Liu, Wei-Han Lee, Raheem A. Beyah
PARS: A Uniform and Open-source Password Analysis and Research System. ACSAC (2015)
Wei-Han Lee, Ruby B. Lee
Implicit Authentication for Smartphone Security. ICISSP (Revised Selected Papers) (2015)