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Security in Small Language Models

Research on security vulnerabilities, attacks, and defenses specific to small language models (SLMs) deployed on edge devices or with limited computational resources

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Security in Small Language Models

Research on Large Language Models in Security in Small Language Models

Security Blind Spots in Small Language Models

Security Blind Spots in Small Language Models

Revealing hidden jailbreak vulnerabilities in edge computing AI

Efficient Stance Detection for Social Media Security

Efficient Stance Detection for Social Media Security

Leveraging SLM-LLM Collaboration to Reduce Computational Costs

Security Vulnerabilities in Small Language Models

Security Vulnerabilities in Small Language Models

Jailbreak attacks pose significant risks to edge-deployed SLMs

Evaluating Constitutional AI in Smaller Models

Evaluating Constitutional AI in Smaller Models

Testing safety mechanisms across 7-9B parameter LLMs

Key Takeaways

Summary of Research on Security in Small Language Models

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