2 citations · 3 across the 11 of their papers we have counts for
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Image-Based Techniques and Ensemble Soft Voting for Malware Classification
Sushant Rakesh Lokhande, Fabio Di Troia, Martin Jurecek +1
In this chapter, we investigate image-based malware family classification using an ensemble learning framework and a soft voting strategy. We consider malware binaries that have be…
On the Effect of Bit-Level Parameter Perturbations in Machine Learning and Deep Learning Models
Akanksha Raghapur, Mark Stamp
In this chapter, we investigate how classical machine learning models respond to small, targeted modifications in their parameters. We compare and contrast these results to analogo…
CAM-Guided Saliency Cutout and Image-Based Malware Classification
Yasaman Ebrahimi, Martin Jurecek, Mark Stamp
Dropout regularization is commonly used to reduce overfitting by removing parts of a neural network during training. For Convolutional Neural Networks (CNN), cutouts serve a somewh…