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David Molnar

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CR3

identity via Semantic Scholar / OpenAlex

most citedCYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models

8 citations · 10 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CR2025

CyberSOCEval: Benchmarking LLMs Capabilities for Malware Analysis and Threat Intelligence Reasoning

Lauren Deason, Adam Bali, Ciprian Bejean +20

Today's cyber defenders are overwhelmed by a deluge of security alerts, threat intelligence signals, and shifting business context, creating an urgent need for AI systems to enhanc…

cs.CR2025★ 2 cited

LlamaFirewall: An open source guardrail system for building secure AI agents

Sahana Chennabasappa, Cyrus Nikolaidis, Daniel Song +16

Large language models (LLMs) have evolved from simple chatbots into autonomous agents capable of performing complex tasks such as editing production code, orchestrating workflows,…

cs.CR2024★ 8 cited

CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models

Shengye Wan, Cyrus Nikolaidis, Daniel Song +10

We are releasing a new suite of security benchmarks for LLMs, CYBERSECEVAL 3, to continue the conversation on empirically measuring LLM cybersecurity risks and capabilities. CYBERS…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.