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

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Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Sabine Süsstrunk, Mathieu Salzmann, Yulun Jiang, Chen Liu, Zhuoyi Huang

We address the problem of stably and efficiently training a deep neural network robust to adversarial perturbations bounded by an

l_1

norm. We demonstrate that achieving robustness against

l_1

-bounded perturbations is more challenging than in the

l_2

...

2023

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

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Chattez avec Graph Search

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Improved calorimetric particle identification in NA62 using machine learning techniques

Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits

Towards Verifiable, Generalizable and Efficient Robust Deep Neural Networks.

On the robustness of randomized classifiers to adversarial examples

Predicting in Uncertain Environments: Methods for Robust Machine Learning

Understanding Deep Neural Networks using Adversarial Attacks

Stop Wasting my FLOPS: Improving the Efficiency of Deep Learning Models

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Adversarial training with informed data selection

Towards Verifiable, Generalizable and Efficient Robust Deep Neural Networks.

Predicting in Uncertain Environments: Methods for Robust Machine Learning

Stop Wasting my FLOPS: Improving the Efficiency of Deep Learning Models

Adversarial training with informed data selection

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Improved calorimetric particle identification in NA62 using machine learning techniques

Essays in Empirical Asset Pricing

On the robustness of randomized classifiers to adversarial examples

Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits

Understanding Deep Neural Networks using Adversarial Attacks