DeepFP: A Deep Learning Framework For User Fingerprinting via Mobile Motion Sensors
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8610059/8621858/08622372.pdf?arnumber=8622372
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Fingerprinting and Personal Information Leakage from Touchscreen Interactions;Proceedings of the 21st Workshop on Privacy in the Electronic Society;2022-11-07
2. PRFP: Privacy-respecting and Accurate Device Fingerprint Identification;2021 IEEE Sixth International Conference on Data Science in Cyberspace (DSC);2021-10
3. TapNet: The Design, Training, Implementation, and Applications of a Multi-Task Learning CNN for Off-Screen Mobile Input;Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems;2021-05-06
4. Virtual Adversarial Training for Semi-supervised Verification Tasks;2019 27th European Signal Processing Conference (EUSIPCO);2019-09
5. Towards Continuous Authentication on Mobile Phones using Deep Learning Models;Procedia Computer Science;2019
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