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20242026
most citedDRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift

2 citations · 5 across the 7 of their papers we have counts for

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cs.LG2025★ 2 cited

DRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift

Shae McFadden, Myles Foley, Mario D'Onghia +4

Malware detection in real-world settings must deal with evolving threats, limited labeling budgets, and uncertain predictions. Traditional classifiers, without additional mechanism…

cs.CL2025

One Pic is All it Takes: Poisoning Visual Document Retrieval Augmented Generation with a Single Image

Ezzeldin Shereen, Dan Ristea, Shae McFadden +3

Retrieval-augmented generation (RAG) is instrumental for inhibiting hallucinations in large language models (LLMs) through the use of a factual knowledge base (KB). Although PDF do…