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This work proposes a simple method to preserve datastore privacy in RAG systems via random projection, and suggests that random projection can serve as a competitive and practical baseline for privacy-preserving RAG systems.
Text-to-image (T2I) generation is gaining increasing popularity with the general public, motivating the development of reliable mechanisms for copyrighting such models given their expensive training costs. An adversary may obtain and reuse a pretrained T2I model without authorization, and then serve a modified version...
The proposed FedMGP+ effectively mitigates forgetting, significantly enhances personalized performance, and provides robust defense against poisoning and gradient leakage attacks.
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