Acoda uses a genetic algorithm to optimize eight obfuscation methods that reduce LLM code analysis success rates to as low as 30% while preserving original semantics.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
LLMs recover IoCs from lightweight-obfuscated JavaScript but performance collapses under encryption in a new benchmark of 336 programs across 12 concealment levels.
citing papers explorer
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Acoda: Adversarial Code Obfuscation for Defending against LLM-based Analysis
Acoda uses a genetic algorithm to optimize eight obfuscation methods that reduce LLM code analysis success rates to as low as 30% while preserving original semantics.
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Benchmarking Large Language Models for IoC Recovery under Adversarial Code Obfuscation and Encryption
LLMs recover IoCs from lightweight-obfuscated JavaScript but performance collapses under encryption in a new benchmark of 336 programs across 12 concealment levels.