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Wei-Han Lee
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2020 – today
- 2023
- [j2]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): 10374-10386 (2023) - [c22]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: 12149-12163 - [i10]Tianshu Zhang, Changchang Liu, Wei-Han Lee, Yu Su, Huan Sun:
Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms. CoRR abs/2305.17221 (2023) - 2022
- [j1]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): 1826-1840 (2022) - [c21]Pengrui Quan, Wei-Han Lee, Mudhakar Srivatsa, Mani B. Srivastava:
Enhancing Robustness in Federated Learning by Supervised Anomaly Detection. ICPR 2022: 996-1003 - 2021
- [c20]Yitao Hu, Weiwu Pang
, Xiaochen Liu, Rajrup Ghosh
, Bongjun Ko, Wei-Han Lee, Ramesh Govindan:
Rim: Offloading Inference to the Edge. IoTDI 2021: 80-92 - [c19]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: 2777-2794 - 2020
- [c18]Changchang Liu, Wei-Han Lee, Seraphin B. Calo:
Neuraltran: Optimal Data Transformation for Privacy-Preserving Machine Learning by Leveraging Neural Networks. DSN (Supplements) 2020: 21-24 - [c17]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: 257-276 - [c16]Wei-Han Lee, Steve Millman, Nirmit Desai, Mudhakar Srivatsa, Changchang Liu:
NeuralFP: Out-of-distribution Detection using Fingerprints of Neural Networks. ICPR 2020: 9561-9568 - [i9]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 abs/2010.01785 (2020)
2010 – 2019
- 2019
- [c15]Wei-Han Lee, Bong Jun Ko, Shiqiang Wang, Changchang Liu, Kin K. Leung:
Exact Incremental and Decremental Learning for LS-SVM. ICIP 2019: 2334-2338 - [c14]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: 378-379 - [c13]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: 1949-1966 - [i8]Yuang Jiang, Shiqiang Wang, Bong Jun Ko, Wei-Han Lee, Leandros Tassiulas:
Model Pruning Enables Efficient Federated Learning on Edge Devices. CoRR abs/1909.12326 (2019) - 2018
- [c12]Wei-Han Lee, Jorge Ortiz, Bongjun Ko, Ruby B. Lee:
Inferring Smartphone Users' Handwritten Patterns by using Motion Sensors. ICISSP 2018: 139-148 - [i7]Wei-Han Lee, Jorge Ortiz, Bongjun Ko, Ruby B. Lee:
Time Series Segmentation through Automatic Feature Learning. CoRR abs/1801.05394 (2018) - [i6]Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee:
Blind De-anonymization Attacks using Social Networks. CoRR abs/1801.05534 (2018) - 2017
- [c11]Wei-Han Lee, Ruby B. Lee:
Implicit Smartphone User Authentication with Sensors and Contextual Machine Learning. DSN 2017: 297-308 - [c10]Wei-Han Lee, Ruby B. Lee:
Sensor-Based Implicit Authentication of Smartphone Users. DSN 2017: 309-320 - [c9]Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee:
How to Quantify Graph De-anonymization Risks. ICISSP (Revised Selected Papers) 2017: 84-104 - [c8]Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee:
Quantification of De-anonymization Risks in Social Networks. ICISSP 2017: 126-135 - [c7]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: 67-78 - [c6]Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee:
Blind De-anonymization Attacks using Social Networks. WPES@CCS 2017: 1-4 - [i5]Wei-Han Lee, Ruby B. Lee:
Multi-sensor authentication to improve smartphone security. CoRR abs/1703.03378 (2017) - [i4]Wei-Han Lee, Ruby B. Lee:
Implicit Sensor-based Authentication of Smartphone Users with Smartwatch. CoRR abs/1703.03523 (2017) - [i3]Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee:
Quantification of De-anonymization Risks in Social Networks. CoRR abs/1703.04873 (2017) - [i2]Wei-Han Lee, Xiaochen Liu, Yilin Shen, Hongxia Jin, Ruby B. Lee:
Secure Pick Up: Implicit Authentication When You Start Using the Smartphone. CoRR abs/1708.09366 (2017) - [i1]Wei-Han Lee, Ruby B. Lee:
Implicit Smartphone User Authentication with Sensors and Contextual Machine Learning. CoRR abs/1708.09754 (2017) - 2016
- [c5]Wei-Han Lee, Ruby B. Lee:
Implicit Sensor-based Authentication of Smartphone Users with Smartwatch. HASP@ISCA 2016: 9:1-9:8 - 2015
- [c4]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: 321-330 - [c3]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: 1-4 - [c2]Wei-Han Lee, Ruby B. Lee:
Implicit Authentication for Smartphone Security. ICISSP (Revised Selected Papers) 2015: 160-176 - [c1]Wei-Han Lee, Ruby B. Lee:
Multi-sensor Authentication to Improve Smartphone Security. ICISSP 2015: 270-280
Coauthor Index
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