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LeakSealer: A Semisupervised Defense for LLMs Against Prompt Injection and Leakage Attacks
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Pro2Guard: Proactive Runtime Enforcement of LLM Agent Safety via Probabilistic Model Checking
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Prevent Prompt Injection
掘金 人工智能
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Exploiting Synergistic Cognitive Biases to Bypass Safety in LLMs
cs.AI updates on arXiv.org
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SDD: Self-Degraded Defense against Malicious Fine-tuning
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OneShield -- the Next Generation of LLM Guardrails
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Libra: Large Chinese-based Safeguard for AI Content
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Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems
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AlphaAlign: Incentivizing Safety Alignment with Extremely Simplified Reinforcement Learning
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Adversarial Activation Patching: A Framework for Detecting and Mitigating Emergent Deception in Safety-Aligned Transformers
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Agent Safety Alignment via Reinforcement Learning
cs.AI updates on arXiv.org
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Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms
cs.AI updates on arXiv.org
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CAVGAN: Unifying Jailbreak and Defense of LLMs via Generative Adversarial Attacks on their Internal Representations
cs.AI updates on arXiv.org
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Do LLMs Understand the Safety of Their Inputs? Training-Free Moderation via Latent Prototypes
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Reasoning as an Adaptive Defense for Safety
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【臺灣資安大會直擊】LLM提示注入攻擊氾濫又容易,開發者和使用者如何防禦?
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AI 训练数据藏雷:近 12,000 个 API 密钥与密码曝光
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NVIDIA Releases NIM Microservices to Safeguard Applications for Agentic AI
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Anthropic Introduces Constitutional Classifiers: A Measured AI Approach to Defending Against Universal Jailbreaks
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Defense Against the Dark Prompts: Mitigating Best-of-N Jailbreaking with Prompt Evaluation
少点错误
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