Hacker News
- Breaking Linear Classifiers on ImageNet http://karpathy.github.io/2015/03/30/breaking-convnets/ 9 comments
Linking pages
- How to trick a neural network into thinking a panda is a vulture https://codewords.recurse.com/issues/five/why-do-neural-networks-think-a-panda-is-a-vulture 77 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
- GitHub - cleverhans-lab/cleverhans: An adversarial example library for constructing attacks, building defenses, and benchmarking both https://github.com/openai/cleverhans 0 comments
- GitHub - EthicalML/awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning https://github.com/EthicalML/awesome-production-machine-learning 0 comments
- TensorFlow.js and Machine Learning in JavaScript with Suz and Nick featuring Paige Bailey (JS Party #64) |> Changelog https://changelog.com/jsparty/64 0 comments
- GitHub - cleverhans-lab/cleverhans: An adversarial example library for constructing attacks, building defenses, and benchmarking both https://github.com/tensorflow/cleverhans 0 comments
- Adversarial Machines. Fooling A.Is (and turn everyone into a… | by samim | Medium https://medium.com/@samim/adversarial-machines-998d8362e996#.wzd2aw9mm 0 comments
- Merging our brains with machines won't stop the rise of the robots http://theconversation.com/merging-our-brains-with-machines-wont-stop-the-rise-of-the-robots-73275 0 comments
Linked pages
- [1412.1897] Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images http://arxiv.org/abs/1412.1897 66 comments
- Caffe | Deep Learning Framework http://caffe.berkeleyvision.org/ 3 comments
- [1412.6572] Explaining and Harnessing Adversarial Examples http://arxiv.org/abs/1412.6572 1 comment
- [1312.6199] Intriguing properties of neural networks http://arxiv.org/abs/1312.6199 0 comments
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