Linking pages
- Attacking Machine Learning with Adversarial Examples https://openai.com/blog/adversarial-example-research/ 102 comments
- Attacking Machine Learning with Adversarial Examples https://blog.openai.com/adversarial-example-research/ 8 comments
- Breaking things is easy | cleverhans-blog http://www.cleverhans.io/security/privacy/ml/2016/12/16/breaking-things-is-easy.html 1 comment
- Is attacking machine learning easier than defending it? | cleverhans-blog http://www.cleverhans.io/security/privacy/ml/2017/02/15/why-attacking-machine-learning-is-easier-than-defending-it.html 0 comments
- GitHub - nightrome/really-awesome-gan: A list of papers on Generative Adversarial (Neural) Networks https://github.com/nightrome/really-awesome-gan 0 comments
- GitHub - zhangqianhui/AdversarialNetsPapers: Awesome paper list with code about generative adversarial nets https://github.com/zhangqianhui/AdversarialNetsPapers 0 comments
Linked pages
- TensorFlow http://tensorflow.org/ 440 comments
- PyTorch http://pytorch.org/ 100 comments
- GitHub - google/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more https://github.com/google/jax 99 comments
- Mastering Git submodules. Hair-pulling. Helpless rage… | by Christophe Porteneuve | Medium https://medium.com/@porteneuve/mastering-git-submodules-34c65e940407 39 comments
- GitHub - cleverhans-lab/cleverhans: An adversarial example library for constructing attacks, building defenses, and benchmarking both https://github.com/cleverhans-lab/cleverhans 23 comments
- Breaking Linear Classifiers on ImageNet http://karpathy.github.io/2015/03/30/breaking-convnets/ 9 comments
- Black 23.11.0 documentation https://black.readthedocs.io/en/stable/ 3 comments
- [1412.6572] Explaining and Harnessing Adversarial Examples http://arxiv.org/abs/1412.6572 1 comment