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### Description
In a Generative Adversarial Network (GAN), one neural network, called the generator, generates new data instances, while the other, the discriminator, evaluates them for authenticity;…
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Imbalanced dataset is relevant primarily in the context of supervised machine lea…
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Currently, most black-box evasion attacks (except `SquareAttack` from ART 1.7.0 with #1127 provided by @jacobalanbond) contain classification specific code to check if an example candidate is adversar…
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< Placeholder >
timeline: April 2023 - April 2027.
[Key historical 2016 issue of thesis topic](https://github.com/Tribler/tribler/issues/2250)
ToDo: 6 weeks hands-on Python onboarding project. …
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- [x] [Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour](https://arxiv.org/abs/1706.02677) by **Facebook** 👉 [mynote](https://github.com/towerjoo/myML/blob/master/papers/weekly/train_ima…
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Read the papers in [Deep Learning’s Most Important Ideas](https://www.kdnuggets.com/2020/09/deep-learnings-most-important-ideas.html).
- [x] Tackling ImageNet with AlexNet and Dropout
- [x] [I…
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## Machine learning
- Welcome to Tsui-Wei (Lily) Weng’s Homepage! | lilyweng.github.io
Build robust deep networks with adversarial consideration.
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Hi there! I am interested in adapting the code in this repo for a project of mine. I am a newbie to adversarial machine learning in general and I was wondering if there is additional documentation to …
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Thesis defense target: 21 June 2024. Survey target: end of July 2023.
Would like to have a fresh master thesis topic, not incremental improvement of other thesis work.
Starting roughly Q1 2023 or su…
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https://arxiv.org/abs/1610.05820
Abstract—We quantitatively investigate how machine learning models leak information about the individual data records on which they were trained. We focus on the ba…