NeuroTaint is the first taint tracking framework for LLM agents that uses offline auditing of semantic, causal, and persistent context to detect flows from untrusted sources to privileged sinks.
SHADEW ATCHER: Recommendation-guided Cy- ber Threat Analysis using System Audit Records
4 Pith papers cite this work. Polarity classification is still indexing.
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SETC framework provides the first systematic comparison of CIM, OCSF, and ECS logging standards by running 50 RCE exploits and measuring how well each captures attack indicators.
Four Go cryptographic API misuse detectors vary substantially in coverage; a new taxonomy of 14 classes and 7,473 real misuses were identified across 328 security-critical projects.
Four attribution methods applied to over one million Polygon blocks show that most atomic arbitrage MEV opportunities trace to single source transactions from a small set of protocols.
citing papers explorer
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Ghost in the Agent: Redefining Information Flow Tracking for LLM Agents
NeuroTaint is the first taint tracking framework for LLM agents that uses offline auditing of semantic, causal, and persistent context to detect flows from untrusted sources to privileged sinks.
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Beyond Collection: Measuring the Detection Efficacy of Modern Security Logging Standards
SETC framework provides the first systematic comparison of CIM, OCSF, and ECS logging standards by running 50 RCE exploits and measuring how well each captures attack indicators.
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Evaluating Cryptographic API Misuse Detectors for Go
Four Go cryptographic API misuse detectors vary substantially in coverage; a new taxonomy of 14 classes and 7,473 real misuses were identified across 328 security-critical projects.
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The Origins of MEV: Systematic Attribution of Arbitrage Opportunity Creation at Scale
Four attribution methods applied to over one million Polygon blocks show that most atomic arbitrage MEV opportunities trace to single source transactions from a small set of protocols.