- [D] Does anyone care about adversarial attacks anymore? https://github.com/cleverhans-lab/cleverhans 23 comments machinelearning
Linking pages
- How does AI fail ? - by Thierry Decroix https://int3.substack.com/p/how-does-ai-fail 1 comment
- Cybersecurity Threats Loom Over Endpoint AI Systems - EE Times https://www.eetimes.com/cybersecurity-threats-loom-over-endpoint-ai-systems/ 0 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 - ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. https://github.com/ml-tooling/best-of-ml-python 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
- GitHub - jiep/offensive-ai-compilation: A curated list of useful resources that cover Offensive AI. https://github.com/jiep/offensive-ai-compilation 0 comments
- GitHub - Renumics/awesome-open-data-centric-ai: Curated list of open source tooling for data-centric AI on unstructured data. https://github.com/Renumics/awesome-open-data-centric-ai 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
- 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
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