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Found 5 papers, 2 papers with code
Fair Sampling in Diffusion Models through Switching Mechanism
Diffusion models have shown their effectiveness in generation tasks by well-approximating the underlying probability distribution.
Differentially Private Sharpness-Aware Training
Training deep learning models with differential privacy (DP) results in a degradation of performance.
Improving the Utility of Differentially Private Clustering through Dynamical Processing
This study aims to alleviate the trade-off between utility and privacy in the task of differentially private clustering.
Exploring the Effect of Multi-step Ascent in Sharpness-Aware Minimization
Recently, Sharpness-Aware Minimization (SAM) has shown state-of-the-art performance by seeking flat minima.
Stability Analysis of Sharpness-Aware Minimization
Utilizing the qualitative theory of dynamical systems, we explain how SAM becomes stuck in the saddle point and then theoretically prove that the saddle point can become an attractor under SAM dynamics.
