Daniel Gomes Viana Rocha

Scaling Laws Do Not Predict Adversarial Robustness in LLM-Based Security Detection Systems

Large language models (LLMs) are increasingly deployed as automateddefenders in security operations, generating detection rules from attacktelemetry. This paper originally claimed that model size does not predictadversarial detection robustness, based on benchmarking five open-weightmodels (3.8B-14B parameters) with DA...