2 citations · 2 across the 4 of their papers we have counts for
4 papers
Why Is SHAP Not a Reliable Standalone Explanation Framework for Malware Detection?
Seyedreza Mohseni, Edward Raff, Manas Gaur
Machine learning is widely used for malware detection, but its decisions must be explained. An analyst needs to know whether a model has learned genuine malicious behavior or only…
Analyzing Chain of Thought (CoT) Approaches in Control Flow Code Deobfuscation Tasks
Seyedreza Mohseni, Sarvesh Baskar, Edward Raff +1
Code deobfuscation is the task of recovering a readable version of a program while preserving its original behavior. In practice, this often requires days or even months of manual…
Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation
Seyedreza Mohseni, Seyedali Mohammadi, Deepa Tilwani +5
Malware authors often employ code obfuscations to make their malware harder to detect. Existing tools for generating obfuscated code often require access to the original source cod…
Knowledge-enhanced Neuro-Symbolic AI for Cybersecurity and Privacy
Aritran Piplai, Anantaa Kotal, Seyedreza Mohseni +3
Neuro-Symbolic Artificial Intelligence (AI) is an emerging and quickly advancing field that combines the subsymbolic strengths of (deep) neural networks and explicit, symbolic know…