Xiang Fang
2 indexed papers
Recent (6 mo)
2With code
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226
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Crypto×2AI×2Vision×2
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2026
Disentangling Adversarial Prompts: A Semantic-Graph Defense for Robust LLM Security
The paper proposes the Adversarial Prompt Disentanglement (APD) framework, a novel defense that proactively identifies and neutralizes malicious components in LLM prompts, achieving over 85% reduction in harmful outputs.
Disentangling Adversarial Prompts: A Semantic-Graph Defense for Robust LLM Security
The paper proposes the Adversarial Prompt Disentanglement (APD) framework, a novel defense mechanism that proactively identifies and neutralizes malicious components in LLM prompts, achieving over 85% reduction in harmful outputs.
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Papers
cs.CRcs.AIcs.CVRecentMay 27, 2026
Disentangling Adversarial Prompts: A Semantic-Graph Defense for Robust LLM Security
The paper proposes the Adversarial Prompt Disentanglement (APD) framework, a novel defense that proactively identifies and neutralizes malicious components in LLM prompts, achieving over 85% reduction…
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cs.CRcs.AIcs.CVRecentMay 27, 2026