Publications associées à Réseau de neurones artificiels

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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

Réseau de neurones artificiels

Graph Chatbot

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End-to-End Learning for Stochastic Optimization: A Bayesian Perspective

Supervised learning and inference of spiking neural networks with temporal coding

Robust direct acoustic impedance control using two microphones for mixed feedforward-feedback controller

Hyperdimensional computing for biosignal monitoring: Applications for epilepsy detection

Neural Distributed Image Compression with Cross-Attention Feature Alignment

Meteor: Meta-learning connecting earth problems observed from space

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

Expectation consistency for calibration of neural networks

AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration

Learning Dynamics of Spring-Mass Models with Physics-Informed Graph Neural Networks

End-to-End Learning for Stochastic Optimization: A Bayesian Perspective

Robust direct acoustic impedance control using two microphones for mixed feedforward-feedback controller

Supervised learning and inference of spiking neural networks with temporal coding

Meteor: Meta-learning connecting earth problems observed from space

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

Expectation consistency for calibration of neural networks

AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration

Learning Dynamics of Spring-Mass Models with Physics-Informed Graph Neural Networks

Neural Distributed Image Compression with Cross-Attention Feature Alignment

Hyperdimensional computing for biosignal monitoring: Applications for epilepsy detection