3 papers
cs.CR2026
A Unified Evaluation of Learning-Based Similarity Techniques for Malware Detection
Udbhav Prasad, Aniesh Chawla
Cryptographic digests (e.g., MD5, SHA-256) are designed to provide exact identity. Any single-bit change in the input produces a completely different hash, which is ideal for integ…
cs.CR2026
A Decompilation-Driven Framework for Malware Detection with Large Language Models
Aniesh Chawla, Udbhav Prasad
The parallel evolution of Large Language Models (LLMs) with advanced code-understanding capabilities and the increasing sophistication of malware presents a new frontier for cybers…
cs.CR2026
Proactively Detecting Threats: A Novel Approach Using LLMs
Aniesh Chawla, Udbhav Prasad
Enterprise security faces escalating threats from sophisticated malware, compounded by expanding digital operations. This paper presents the first systematic evaluation of large la…