Novel membership inference attacks that leverage the Gaussian neighborhood of a DNN's training data to improve performance.
📄 arxiv.org/abs/2307.05193v1
$\beta$D-Bayes, a generalised posterior from a Bayesian posterior from which the data generative process can be sampled
📄 arxiv.org/abs/2307.05194v1
A new weakly supervised learning framework for knowledge distillation in video classification that is designed to improve the efficiency and accuracy of the
📄 arxiv.org/abs/2307.05201v1
We introduce a novel decorrelation method using Convex Neural OptimalTransport Solvers (Cnots), that is able to decorrel
📄 arxiv.org/abs/2307.05187v1
A simple linear regression based approach for learning the weights and biases of a neural network, as an alternative to standard gradient-based back
📄 arxiv.org/abs/2307.05189v1
A generative model that can generate multiple samples of any synthetic identity in state-of-the-art pretrained GAN latent spaces
📄 arxiv.org/abs/2307.05151v1
Two machine-learning algorithms for selecting events where neutrallong-lived particles decay within the detector volume studying their accuracy and inference time when
📄 arxiv.org/abs/2307.05152v1
A modular multimodal architecture that can exploit the attention priors that humans typically have when observing others.
📄 arxiv.org/abs/2307.05158v1
This is an overview of the eleventh edition of the BioASQ challenge in the fixmecontext of the Conference and Labs of the Evaluation Forum (
📄 arxiv.org/abs/2307.05131v1
SSL can be used in spontaneous TTS and MOS prediction to further quantify and understand how SSL can beused in spontaneous speech.
📄 arxiv.org/abs/2307.05132v1
A new metric based on prompt templates to study the alignment between the content specified in the prompt and the corresponding generatedFINESTimages.
📄 arxiv.org/abs/2307.05134v1
Unsupervised sensing algorithms and 3D Augmented Reality visualization for real-time, automatic solar panel detection andrepair .
📄 arxiv.org/abs/2307.05136v1