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Found 3 papers, 1 papers with code
RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content
The innovative use of constrained optimization and a fusion-based guardrail approach represents a significant step forward in developing more secure and reliable LLMs, setting a new standard for content moderation frameworks in the face of evolving digital threats.
SecretGen: Privacy Recovery on Pre-Trained Models via Distribution Discrimination
We first explore different statistical information which can discriminate the private training distribution from other distributions.
On Generating Identifiable Virtual Faces
Our virtual face images are visually different from the original ones for privacy protection.
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