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Sparse Attacks for Manipulating Explanations in Deep Neural Network Models

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Sparse Attacks for Manipulating Explanations in Deep Neural Network Models

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Deep Neural Networks With Trainable Activations and Controlled Lipschitz Constant

Maximizing Fiber Cable Capacity Under A Supply Power Constraint Using Deep Neural Networks

A Comprehensive Experimental and Reproducible Study on Selfie Biometrics in Multistream and Heterogeneous Settings

A geometry-inspired decision-based attack

Learning from droplet flows in microfluidic channels using deep neural networks

SparseFool: a few pixels make a big difference

Entropy and mutual information in models of deep neural networks

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

Pretraining boosts out-of-domain robustness for pose estimation

SparseFool: a few pixels make a big difference

SparseFool: a few pixels make a big difference

Learning from droplet flows in microfluidic channels using deep neural networks

Entropy and mutual information in models of deep neural networks

Maximizing Fiber Cable Capacity Under A Supply Power Constraint Using Deep Neural Networks

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

A Comprehensive Experimental and Reproducible Study on Selfie Biometrics in Multistream and Heterogeneous Settings

SparseFool: a few pixels make a big difference

Deep Neural Networks With Trainable Activations and Controlled Lipschitz Constant

Pretraining boosts out-of-domain robustness for pose estimation

A geometry-inspired decision-based attack