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Found 5 papers, 4 papers with code
FoggySight: A Scheme for Facial Lookup Privacy
Searches in these databases are now being offered as a service to law enforcement and others and carry a multitude of privacy risks for social media users.
Profile Prediction: An Alignment-Based Pre-Training Task for Protein Sequence Models
Recent deep-learning approaches to protein prediction have shown that pre-training on unlabeled data can yield useful representations for downstream tasks.
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks
Integrated Hessians overcomes several theoretical limitations of previous methods to explain interactions, and unlike such previous methods is not limited to a specific architecture or class of neural network.
Improving performance of deep learning models with axiomatic attribution priors and expected gradients
Recent research has demonstrated that feature attribution methods for deep networks can themselves be incorporated into training; these attribution priors optimize for a model whose attributions have certain desirable properties -- most frequently, that particular features are important or unimportant.
A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images
Our results suggest that lessons learned from developing models on natural images may not directly transfer to neuroimaging tasks.
