4 citations · 4 across the 6 of their papers we have counts for
3 papers · 1 filter
Concept Drift Detection and Adaptive Retraining of Malware Classification Models
Christofer Washington Berruz Chungata, Martin Jurecek, Katerina Potika +2
Concept drift refers to changes over time in the statistical properties of data, as compared to the data that was used to train a learning model. Machine learning models for malwar…
A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models
Vibha Bhavikatti, Mark Stamp
Recent studies have shown that binary-to-image representations can enable effective machine learning-based results for malware detection and classification. However, performance ca…
Robustness of AI-Art Detectors under Generator Shift
Shivank Singh Thakur, Meien Li, Mark Stamp
Text-to-image generative models have advanced rapidly, with modern Diffusion Transformer architectures producing images that are increasingly difficult to distinguish from human-cr…