Open-source LLMs detect phishing intent at high rates but still generate actionable phishing content, and GuardPhish supplies a dataset plus modular classifiers to close the gap.
On the feasibility of fully ai-automated vishing attacks
2 Pith papers cite this work. Polarity classification is still indexing.
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RoboKA is a KAN-based multimodal fusion model that outperforms baselines on a new synthetic dataset for detecting adversarial robocalls via acoustic and linguistic cues.
citing papers explorer
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GuardPhish: Securing Open-Source LLMs from Phishing Abuse
Open-source LLMs detect phishing intent at high rates but still generate actionable phishing content, and GuardPhish supplies a dataset plus modular classifiers to close the gap.
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RoboKA: KAN Informed Multimodal Learning for RoboCall Surveillance System
RoboKA is a KAN-based multimodal fusion model that outperforms baselines on a new synthetic dataset for detecting adversarial robocalls via acoustic and linguistic cues.