1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CR2026
MalTree: Tracing Malware Evolution from Embeddings at Scale
Akash Amalan, Georgios Smaragdakis, Tom J. Viering
Malware detection remains largely reactive: machine learning models trained on known samples degrade as threats evolve. Understanding evolutionary relationships among malware famil…
cs.LG2022★ 1 cited
MULTI-FLGANs: Multi-Distributed Adversarial Networks for Non-IID distribution
Akash Amalan, Rui Wang, Yanqi Qiao +2
Federated learning is an emerging concept in the domain of distributed machine learning. This concept has enabled GANs to benefit from the rich distributed training data while pres…