6 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.LG2023
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision
Hongzuo Xu, Yijie Wang, Guansong Pang +3
Semi-supervised anomaly detection methods leverage a few anomaly examples to yield drastically improved performance compared to unsupervised models. However, they still suffer from…
cs.LG2023★ 6 cited
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning
Hongzuo Xu, Yijie Wang, Juhui Wei +3
Due to the unsupervised nature of anomaly detection, the key to fueling deep models is finding supervisory signals. Different from current reconstruction-guided generative models a…
cs.CR2022★ 5 cited
FuncFooler: A Practical Black-box Attack Against Learning-based Binary Code Similarity Detection Methods
Lichen Jia, Bowen Tang, Chenggang Wu +6
The binary code similarity detection (BCSD) method measures the similarity of two binary executable codes. Recently, the learning-based BCSD methods have achieved great success, ou…