Wei-Han Lee

发表

Evaluation of Scattering in Collision Avoidance Radar Application

Wen-Jiao Liao, Wei-Han Lee, 2009 .

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

Hongxia Jin, Xiaochen Liu, Ruby B. Lee, 2017, SACMAT.

MOPT: Optimized Mutation Scheduling for Fuzzers

Chao Zhang, Raheem Beyah, Yu Song, 2019, USENIX Security Symposium.

Sensor-Based Implicit Authentication of Smartphone Users

Ruby B. Lee, Wei-Han Lee, R. Lee, 2017, 2017 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN).

Implicit Sensor-based Authentication of Smartphone Users with Smartwatch pdf

Ruby B. Lee, Wei-Han Lee, R. Lee, 2016, HASP 2016.

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

Pan Zhou, Raheem Beyah, Shouling Ji, 2022, IEEE Transactions on Dependable and Secure Computing.

Model Pruning Enables Efficient Federated Learning on Edge Devices pdf

Leandros Tassiulas, Shiqiang Wang, Bong Jun Ko, 2019, IEEE transactions on neural networks and learning systems.

A New Electron Bridge Channel 1T-DRAM Employing Underlap Region Charge Storage

Abhinav Kranti, Jyi-Tsong Lin, Wei-Han Lee, 2017, IEEE Journal of the Electron Devices Society.

Multi-sensor authentication to improve smartphone security

Ruby B. Lee, Wei-Han Lee, R. Lee, 2015, 2015 International Conference on Information Systems Security and Privacy (ICISSP).

User Authentication and Security Vulnerabilities Using Smartphone Sensors and Machine Learning

Wei-Han Lee, 2019 .

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

Ting Wang, Shouling Ji, Raheem A. Beyah, 2015, ACSAC 2015.

Punch-through reading mechanism and body raised up structure for a novel Punch-Through DRAM

Abhinav Kranti, Jyi-Tsong Lin, Wei-Han Lee, 2016, 2016 13th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT).

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

Seraphin Calo, Wei-Han Lee, Changchang Liu, 2020, 2020 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks-Supplemental Volume (DSN-S).

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

Raheem Beyah, Kangjie Lu, Yuwei Li, 2020, USENIX Security Symposium.

Acoustic anomaly detection system: demo abstract

Shiqiang Wang, Bong Jun Ko, Wei-Han Lee, 2019, SenSys.

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

Yu-Chun Wang, Yong-Huang Lin, Jyi-Tsong Lin, 2015, 2015 IEEE 11th International Conference on ASIC (ASICON).

An improved unipolar CMOS with elevated body and spacer for low-power application

Yong-Huang Lin, Jyi-Tsong Lin, Wei-Han Lee, 2015, 2015 Fourth Berkeley Symposium on Energy Efficient Electronic Systems (E3S).

Blind De-anonymization Attacks using Social Networks

Prateek Mittal, Shouling Ji, Ruby B. Lee, 2017, WPES@CCS.

A novel low bias and high speed non-classical CMOS inverter with unique shared contact

Jyi-Tsong Lin, Wei-Han Lee, Kai-Cheng Juang, 2016, 2016 13th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT).

Quantification of De-anonymization Risks in Social Networks

Prateek Mittal, Shouling Ji, Ruby B. Lee, 2017, ICISSP.

Understanding the Security Risks of Docker Hub

Wenzhi Chen, Raheem Beyah, Kangjie Lu, 2020, ESORICS.

Implicit Authentication for Smartphone Security

Ruby B. Lee, Wei-Han Lee, R. Lee, 2015, ICISSP.

Inferring Smartphone Users' Handwritten Patterns by using Motion Sensors

Ruby B. Lee, Bongjun Ko, Jorge Ortiz, 2018, ICISSP.

Exact Incremental and Decremental Learning for LS-SVM

Kin K. Leung, Shiqiang Wang, Bong Jun Ko, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

How to Quantify Graph De-anonymization Risks

Prateek Mittal, Shouling Ji, Ruby B. Lee, 2017, ICISSP.

Implicit Smartphone User Authentication with Sensors and Contextual Machine Learning

Ruby B. Lee, Wei-Han Lee, R. Lee, 2017, 2017 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN).

Congestion Detection and Control in Data Center Networks

Ai-Chun Pang, Chao-Wen Huang, Chien-Wei Cheng, 2014 .

Time Series Segmentation through Automatic Feature Learning pdf

Ruby B. Lee, Bongjun Ko, Jorge Ortiz, 2018, ArXiv.

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

Mudhakar Srivatsa, Nirmit Desai, Wei-Han Lee, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Rim: Offloading Inference to the Edge

Ramesh Govindan, Bongjun Ko, Rajrup Ghosh, 2021, IoTDI.

Model Pruning Enables Efficient Federated Learning on Edge Devices pdf

Leandros Tassiulas, Shiqiang Wang, Wei-Han Lee, 2019, ArXiv.