activity
20182022
most citedA Study of Data Pre-processing Techniques for Imbalanced Biomedical Data Classification

10 citations · 15 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Attention Distraction: Watermark Removal Through Continual Learning with Selective Forgetting

Qi Zhong, Leo Yu Zhang, Shengshan Hu +3

Fine-tuning attacks are effective in removing the embedded watermarks in deep learning models. However, when the source data is unavailable, it is challenging to just erase the wat…

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.SD20221 cited

FAAG: Fast Adversarial Audio Generation through Interactive Attack Optimisation

Yuantian Miao, Chao Chen, Lei Pan +2

Automatic Speech Recognition services (ASRs) inherit deep neural networks' vulnerabilities like crafted adversarial examples. Existing methods often suffer from low efficiency beca…

q-bio.QM201910 cited

A Study of Data Pre-processing Techniques for Imbalanced Biomedical Data Classification

Shigang Liu, Jun Zhang, Yang Xiang +2

Biomedical data are widely accepted in developing prediction models for identifying a specific tumor, drug discovery and classification of human cancers. However, previous studies…

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…