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Neural network

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Neural network

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AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration

Incremental Learning in Diagonal Linear Networks

Rethinking data augmentation for adversarial robustness

Sparse Attacks for Manipulating Explanations in Deep Neural Network Models

Polynomial-time universality and limitations of deep learning

Estimating and Improving the Robustness of Attributions in Text

Privacy-preserving federated neural network training and inference

Fixing the problems of deep neural networks will require better training data and learning algorithms

Adversarial Training Should Be Cast As a Non-Zero-Sum Game

AIFORE: Smart Fuzzing Based on Automatic Input Format Reverse Engineering