Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
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Updated
Jan 4, 2025 - C++
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
Training robust models takes a looong time since generating adversaries is so expensive. We design a parallel algorithm for training large robust models using PyTorch C++/MPI and show it runs fast!
Python API for generating adapted and unique neighbourhoods for searching for adversarial examples.
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