Wei-Han Lee

According to our database, Wei-Han Lee authored at least 27 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Model Pruning Enables Efficient Federated Learning on Edge Devices.

Yuang Jiang, Shiqiang Wang, Víctor Valls, Bong Jun Ko, Wei-Han Lee, Kin K. Leung, Leandros Tassiulas

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms.

Tianshu Zhang, Changchang Liu, Wei-Han Lee, Yu Su, Huan Sun

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

A Large-Scale Empirical Study on the Vulnerability of Deployed IoT Devices.

Binbin Zhao, Shouling Ji, Wei-Han Lee, Changting Lin, Haiqin Weng, Jingzheng Wu, Pan Zhou, Liming Fang, Raheem Beyah

IEEE Trans. Dependable Secur. Comput., 2022

Enhancing Robustness in Federated Learning by Supervised Anomaly Detection.

Pengrui Quan, Wei-Han Lee, Mudhakar Srivatsa, Mani B. Srivastava

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers.

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

Proceedings of the 30th USENIX Security Symposium, 2021

Rim: Offloading Inference to the Edge.

Yitao Hu, Weiwu Pang, Xiaochen Liu, Rajrup Ghosh, Bongjun Ko, Wei-Han Lee, Ramesh Govindan

Proceedings of the IoTDI '21: International Conference on Internet-of-Things Design and Implementation, 2021

2020

NeuralFP: Out-of-distribution Detection using Fingerprints of Neural Networks.

Wei-Han Lee, Steve Millman, Nirmit Desai, Mudhakar Srivatsa, Changchang Liu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Understanding the Security Risks of Docker Hub.

Peiyu Liu, Shouling Ji, Lirong Fu, Kangjie Lu, Xuhong Zhang, Wei-Han Lee, Tao Lu, Wenzhi Chen, Raheem Beyah

Proceedings of the Computer Security - ESORICS 2020, 2020

Neuraltran: Optimal Data Transformation for Privacy-Preserving Machine Learning by Leveraging Neural Networks.

Changchang Liu, Wei-Han Lee, Seraphin B. Calo

Proceedings of the 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks, 2020

2019

User Authentication and Security Vulnerabilities Using Smartphone Sensors and Machine Learning

Wei-Han Lee

PhD thesis, 2019

Model Pruning Enables Efficient Federated Learning on Edge Devices.

Yuang Jiang, Shiqiang Wang, Bong Jun Ko, Wei-Han Lee, Leandros Tassiulas

CoRR, 2019

MOPT: Optimized Mutation Scheduling for Fuzzers.

Chenyang Lyu, Shouling Ji, Chao Zhang, Yuwei Li, Wei-Han Lee, Yu Song, Raheem Beyah

Proceedings of the 28th USENIX Security Symposium, 2019

Acoustic anomaly detection system: demo abstract.

Jae-wook Ahn, Keith Grueneberg, Bong Jun Ko, Wei-Han Lee, Eduardo Morales, Shiqiang Wang, Xiping Wang, David Wood

Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

Exact Incremental and Decremental Learning for LS-SVM.

Wei-Han Lee, Bong Jun Ko, Shiqiang Wang, Changchang Liu, Kin K. Leung

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Time Series Segmentation through Automatic Feature Learning.

Wei-Han Lee, Jorge Ortiz, Bongjun Ko, Ruby B. Lee

CoRR, 2018

Inferring Smartphone Users' Handwritten Patterns by using Motion Sensors.

Wei-Han Lee, Jorge Ortiz, Bongjun Ko, Ruby B. Lee

Proceedings of the 4th International Conference on Information Systems Security and Privacy, 2018

2017

Blind De-anonymization Attacks using Social Networks.

Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee

Proceedings of the 2017 on Workshop on Privacy in the Electronic Society, Dallas, TX, USA, October 30, 2017

Secure Pick Up: Implicit Authentication When You Start Using the Smartphone.

Wei-Han Lee, Xiaochen Liu, Yilin Shen, Hongxia Jin, Ruby B. Lee

Proceedings of the 22nd ACM on Symposium on Access Control Models and Technologies, 2017

How to Quantify Graph De-anonymization Risks.

Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee

Proceedings of the Information Systems Security and Privacy, 2017

Quantification of De-anonymization Risks in Social Networks.

Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee

Proceedings of the 3rd International Conference on Information Systems Security and Privacy, 2017

Sensor-Based Implicit Authentication of Smartphone Users.

Wei-Han Lee, Ruby B. Lee

Proceedings of the 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2017

Implicit Smartphone User Authentication with Sensors and Contextual Machine Learning.

Wei-Han Lee, Ruby B. Lee

Proceedings of the 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2017

2016

Implicit Sensor-based Authentication of Smartphone Users with Smartwatch.

Wei-Han Lee, Ruby B. Lee

Proceedings of the Hardware and Architectural Support for Security and Privacy 2016, 2016

2015

Implicit Authentication for Smartphone Security.

Wei-Han Lee, Ruby B. Lee

Proceedings of the Information Systems Security and Privacy, 2015

Multi-sensor Authentication to Improve Smartphone Security.

Wei-Han Lee, Ruby B. Lee

Proceedings of the ICISSP 2015, 2015

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.

Wei-Han Lee, Jyi-Tsong Lin, Yu-Chun Wang, Po-Hsieh Lin, Chien-Chia Lai, Yong-Huang Lin, Tin-Chun Chang

Proceedings of the 2015 IEEE 11th International Conference on ASIC, 2015

PARS: A Uniform and Open-source Password Analysis and Research System.

Shouling Ji, Shukun Yang, Ting Wang, Changchang Liu, Wei-Han Lee, Raheem A. Beyah

Proceedings of the 31st Annual Computer Security Applications Conference, 2015