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06/11/2023
Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization
Feature visualization has gained substantial popularity, particularly af...
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06/05/2023
Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception
Deep neural networks (DNNs) are known to have a fundamental sensitivity ...
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05/25/2023
DP-SGD Without Clipping: The Lipschitz Neural Network Way
State-of-the-art approaches for training Differentially Private (DP) Dee...
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11/17/2022
CRAFT: Concept Recursive Activation FacTorization for Explainability
Attribution methods are a popular class of explainability methods that u...
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06/14/2022
When adversarial attacks become interpretable counterfactual explanations
We argue that, when learning a 1-Lipschitz neural network with the dual ...
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06/09/2022
Xplique: A Deep Learning Explainability Toolbox
Today's most advanced machine-learning models are hardly scrutable. The ...
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03/08/2021
Fairness seen as Global Sensitivity Analysis
Ensuring that a predictor is not biased against a sensible feature is th...
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06/11/2020
