Robust Training and Verification of Deep Neural Networks

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Robust Training and Verification of Deep Neural Networks

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Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

Partial discharge localization in power transformer tanks using machine learning methods

Residual-based attention in physics-informed neural networks

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Semantic Segmentation of Coffee Plantations from Sentinel-2 Time Series

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Robust NAS under adversarial training: benchmark, theory, and beyond

Incorporating Projective Geometry into Deep Learning

Sparse autoregressive neural networks for classical spin systems

Aggregating Spatial and Photometric Context for Photometric Stereo

On the number of regions of piecewise linear neural networks

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning