Universal Adversarial Attacks on Text Classifiers

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Universal Adversarial Attacks on Text Classifiers

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Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Topics in statistical physics of high-dimensional machine learning

Network time series forecasting in photovoltaics power production

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Benchmarking conventional and learning-based objective image quality metrics on compression artifacts

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

Efficient local linearity regularization to overcome catastrophic overfitting

Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

Estimating and Improving the Robustness of Attributions in Text

Adaptive Feedforward Super-Twisting Sliding Mode Control of Parallel Kinematic Manipulators With Real-Time Experiments

Probabilistic methods for neural combinatorial optimization

Improving Object Detection under Domain Shifts

DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications

Deep Learning Generalization with Limited and Noisy Labels