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20182022
most citedVideo is All You Need: Attacking PPG-based Biometric Authentication

4 citations · 6 across the 3 of their papers we have counts for

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5 papers · 1 filter

cs.CR20224 cited

Video is All You Need: Attacking PPG-based Biometric Authentication

Lin Li, Chao Chen, Lei Pan +2

Unobservable physiological signals enhance biometric authentication systems. Photoplethysmography (PPG) signals are convenient owning to its ease of measurement and are usually wel…

cs.CR20211 cited

Information flow based defensive chain for data leakage detection and prevention: a survey

Ning Xi, Chao Chen, Jun Zhang +4

Mobile and IoT applications have greatly enriched our daily life by providing convenient and intelligent services. However, these smart applications have been a prime target of adv…

cs.CR2021

Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey

Xiaoyu Zhang, Chao Chen, Yi Xie +3

Deep Neural Network (DNN), one of the most powerful machine learning algorithms, is increasingly leveraged to overcome the bottleneck of effectively exploring and analyzing massive…

cs.CR2020

DeFuzz: Deep Learning Guided Directed Fuzzing

Xiaogang Zhu, Shigang Liu, Xian Li +4

Fuzzing is one of the most effective technique to identify potential software vulnerabilities. Most of the fuzzers aim to improve the code coverage, and there is lack of directedne…

cs.CR2018

Automated Big Traffic Analytics for Cyber Security

Yuantian Miao, Zichan Ruan, Lei Pan +3

Network traffic analytics technology is a cornerstone for cyber security systems. We demonstrate its use through three popular and contemporary cyber security applications in intru…