Unverified50% confidenceFactExact time
The paper proves that, under the expected quadratic terminal tracking objective, every local minimum exhausts the certified privacy budget.
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10/30/2026
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UnverifiedAcross multiple image datasets, these lower bounds establish non-trivial, unavoidable expected reconstruction errors within the privacy budget range recommended by the industry.73% similarUnverifiedIn differential privacy, the smaller the privacy budget ε, the stronger the privacy protection, but the larger the noise introduced, causing the estimation error to rise.71% similarUnverifiedExperiments on real data show that when the overlap between the released subspace and the protected comparison set is small, the task-aware certificate can significantly reduce the estimated privacy loss.68% similarUnverifiedRunning large models locally avoids per-call billing, making it suitable for repeated experimentation and privacy-sensitive scenarios.66% similarUnverifiedPrompt desensitization faces a utility-privacy trade-off: the more thorough the desensitization, the less context available to the model, and the more pronounced the decline in answer quality; for tasks that highly depend on complete context, such as code completion, legal document analysis, and medical question answering, the room for desensitization is extremely limited.65% similar
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