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UMDFood: Vision-language models boost food composition compilation
Nutrition information is crucial in precision nutrition and the food industry.
Membership Inference Attacks Against Text-to-image Generation Models
The empirical results show that all of the proposed attacks can achieve significant performance, in some cases even close to an accuracy of 1, and thus the corresponding risk is much more severe than that shown by existing membership inference attacks.
Revisiting the Characteristics of Stochastic Gradient Noise and Dynamics
In this paper, we characterize the noise of stochastic gradients and analyze the noise-induced dynamics during training deep neural networks by gradient-based optimizers.
Node-Level Membership Inference Attacks Against Graph Neural Networks
To fully utilize the information contained in graph data, a new family of machine learning (ML) models, namely graph neural networks (GNNs), has been introduced.
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