1 citations · 1 across the 6 of their papers we have counts for
Showing 2025Show all
3 papers · 1 filter
cs.CR2025
A Comparison of Selected Image Transformation Techniques for Malware Classification
Rishit Agrawal, Kunal Bhatnagar, Andrew Do +2
Recently, a considerable amount of malware research has focused on the use of powerful image-based machine learning techniques, which generally yield impressive results. However, b…
cs.LG2025★ 1 cited
Robustness of Selected Learning Models under Label-Flipping Attack
Sarvagya Bhargava, Mark Stamp
In this paper we compare traditional machine learning and deep learning models trained on a malware dataset when subjected to adversarial attack based on label-flipping. Specifical…
cs.LG2025
Temporal Analysis of Adversarial Attacks in Federated Learning
Rohit Mapakshi, Sayma Akther, Mark Stamp
In this paper, we experimentally analyze the robustness of selected Federated Learning (FL) systems in the presence of adversarial clients. We find that temporal attacks significan…