activity
20202022
most citedTowards Web Phishing Detection Limitations and Mitigation

9 citations · 9 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CR20229 cited

Towards Web Phishing Detection Limitations and Mitigation

Alsharif Abuadbba, Shuo Wang, Mahathir Almashor +4

Web phishing remains a serious cyber threat responsible for most data breaches. Machine Learning (ML)-based anti-phishing detectors are seen as an effective countermeasure, and are…

cs.CV2021

Robust Training Using Natural Transformation

Shuo Wang, Lingjuan Lyu, Surya Nepal +3

Previous robustness approaches for deep learning models such as data augmentation techniques via data transformation or adversarial training cannot capture real-world variations th…

cs.LG2020

Defending Adversarial Attacks via Semantic Feature Manipulation

Shuo Wang, Tianle Chen, Surya Nepal +3

Machine learning models have demonstrated vulnerability to adversarial attacks, more specifically misclassification of adversarial examples. In this paper, we propose a one-off and…

cs.LG2020

OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning

Shuo Wang, Tianle Chen, Shangyu Chen +3

Anomaly detection aims to recognize samples with anomalous and unusual patterns with respect to a set of normal data. This is significant for numerous domain applications, such as…

cs.LG2020

Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models

Shuo Wang, Surya Nepal, Carsten Rudolph +3

Transfer learning provides an effective solution for feasibly and fast customize accurate \textit{Student} models, by transferring the learned knowledge of pre-trained \textit{Teac…