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David Molnar

5 papers hereh-index 5475 citations7 works total

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

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CR4
  • cs.SE1

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing cs.CRShow all

4 papers · 1 filter

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

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

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…

cs.CR2024

CyberSecEval 2: A Wide-Ranging Cybersecurity Evaluation Suite for Large Language Models

Manish Bhatt, Sahana Chennabasappa, Yue Li +10

Large language models (LLMs) introduce new security risks, but there are few comprehensive evaluation suites to measure and reduce these risks. We present BenchmarkName, a novel be…

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