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Bayesian Adversarial Learning - NIPS papers

https://papers.nips.cc/paper/7921-bayesian-adversarial-learning

by N Ye · 2018 · Cited by 45 — Deep neural networks have been known to be vulnerable to adversarial attacks, ... is put on the adversarial data-generating distribution to account for the ...

Robust Adversarial Objects against Deep Learning Models

https://ojs.aaai.org/index.php/AAAI/article/view/5443

Adversarial Definition & Meaning - Merriam-Webster

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Adversarial Definition & Meaning - Dictionary.com

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An Analysis on Adversarial Machine Learning: Methods and ...

https://researchrepository.wvu.edu/etd/11250/

by A Dabouei · 2022 — A prominent field of research that enabled such achievements is adversarial learning, investigating the behavior and functionality of a learning model in ...

Adversarial Machine Learning Examples Explained

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Adversarial | Papers With Code

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Adversarial Explainable AI

https://hbaniecki.com/adversarial-explainable-ai/

There are various adversarial attacks on machine learning models; hence, ways of defending, e.g. by using XAI techniques. Nowadays, attacks on model ...

Review of Artificial Intelligence Adversarial Attack and ...

https://www.mdpi.com/2076-3417/9/5/909

Adversarial Robustness for Machine Learning - 1st Edition

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Adversarial attacks and adversarial robustness in ... - Nature

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[1406.2661] Generative Adversarial Networks - arXiv

https://arxiv.org/abs/1406.2661

by IJ Goodfellow · 2014 · Cited by 55765 — We propose a new framework for estimating generative models via an adversarial process, in which we simultaneously train two models: a ...

Introduction | Machine Learning - Google Developers

https://developers.google.com/machine-learning/gan

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https://machinelearningmastery.com/what-are-generative-adversarial-networks-gans/

Jun 17, 2019 — Generative Adversarial Networks, or GANs for short, are an approach to generative modeling using deep learning methods, ...

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