Introduces noise aggregation analysis with single-step small-noise injection to enable efficient and accurate membership inference attacks on diffusion models.
Grad- tts: A diffusion probabilistic model for text-to-speech,
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Chain-of-Details (CoD) is a cascaded TTS method that explicitly models temporal coarse-to-fine dynamics with a shared decoder, achieving competitive performance using significantly fewer parameters.
A personalized federated distillation approach for vehicle edge caching reduces communication overhead and shows robustness to changes in vehicle speed.
citing papers explorer
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Noise Aggregation Analysis Driven by Small-Noise Injection: Efficient Membership Inference for Diffusion Models
Introduces noise aggregation analysis with single-step small-noise injection to enable efficient and accurate membership inference attacks on diffusion models.
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Text-To-Speech with Chain-of-Details: modeling temporal dynamics in speech generation
Chain-of-Details (CoD) is a cascaded TTS method that explicitly models temporal coarse-to-fine dynamics with a shared decoder, achieving competitive performance using significantly fewer parameters.
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Personalized Federated Distillation Assisted Vehicle Edge Caching Strategy
A personalized federated distillation approach for vehicle edge caching reduces communication overhead and shows robustness to changes in vehicle speed.