54 citations · 111 across the 9 of their papers we have counts for
10 papers
Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms
Tianshu Zhang, Changchang Liu, Wei-Han Lee +2
This paper studies a new task of federated learning (FL) for semantic parsing, where multiple clients collaboratively train one global model without sharing their semantic parsing…
UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers
Yuwei Li, Shouling Ji, Yuan Chen +9
A flurry of fuzzing tools (fuzzers) have been proposed in the literature, aiming at detecting software vulnerabilities effectively and efficiently. To date, it is however still cha…
Model Pruning Enables Efficient Federated Learning on Edge Devices
Yuang Jiang, Shiqiang Wang, Victor Valls +4
Federated learning (FL) allows model training from local data collected by edge/mobile devices while preserving data privacy, which has wide applicability to image and vision appli…
Time Series Segmentation through Automatic Feature Learning
Wei-Han Lee, Jorge Ortiz, Bongjun Ko +1
Internet of things (IoT) applications have become increasingly popular in recent years, with applications ranging from building energy monitoring to personal health tracking and ac…
Blind De-anonymization Attacks using Social Networks
Wei-Han Lee, Changchang Liu, Shouling Ji +2
It is important to study the risks of publishing privacy-sensitive data. Even if sensitive identities (e.g., name, social security number) were removed and advanced data perturbati…
Implicit Smartphone User Authentication with Sensors and Contextual Machine Learning
Wei-Han Lee, Ruby B. Lee
Authentication of smartphone users is important because a lot of sensitive data is stored in the smartphone and the smartphone is also used to access various cloud data and service…
Secure Pick Up: Implicit Authentication When You Start Using the Smartphone
Wei-Han Lee, Xiaochen Liu, Yilin Shen +2
We propose Secure Pick Up (SPU), a convenient, lightweight, in-device, non-intrusive and automatic-learning system for smartphone user authentication. Operating in the background,…
Quantification of De-anonymization Risks in Social Networks
Wei-Han Lee, Changchang Liu, Shouling Ji +2
The risks of publishing privacy-sensitive data have received considerable attention recently. Several de-anonymization attacks have been proposed to re-identify individuals even if…
Implicit Sensor-based Authentication of Smartphone Users with Smartwatch
Wei-Han Lee, Ruby Lee
Smartphones are now frequently used by end-users as the portals to cloud-based services, and smartphones are easily stolen or co-opted by an attacker. Beyond the initial log-in mec…
Multi-sensor authentication to improve smartphone security
Wei-Han Lee, Ruby Lee
The widespread use of smartphones gives rise to new security and privacy concerns. Smartphone thefts account for the largest percentage of thefts in recent crime statistics. Using…