activity
20172023
most citedTime Series Segmentation through Automatic Feature Learning

27 citations · 57 across the 8 of their papers we have counts for

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Showing cs.CRShow all

5 papers · 1 filter

cs.CR202023 cited

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…

cs.CR20171 cited

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…

cs.CR20175 cited

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,…

cs.CR2017

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…

cs.CR20171 cited

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…