SCAgent automates side-channel leakage discovery via LLM agents for target identification and few-shot foundation models for scalable analysis on iOS.
Large language models for blockchain security: A systematic literature review
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APT-Agent automates penetration testing with LLMs using rectification and memory modules, achieving 84.29% end-to-end success on Metasploitable 2 versus lower rates for baselines.
citing papers explorer
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Rethinking Side-Channel Analysis: Automated Discovery and Analysis of Side-Channel Leakage with LLM-Assisted Agents
SCAgent automates side-channel leakage discovery via LLM agents for target identification and few-shot foundation models for scalable analysis on iOS.
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APT-Agent: Automated Penetration Testing using Large Language Models
APT-Agent automates penetration testing with LLMs using rectification and memory modules, achieving 84.29% end-to-end success on Metasploitable 2 versus lower rates for baselines.