RyanLucas3 / HR_Neural_NetworksLinks
Certified robustness of deep neural networks
☆19Updated last year
Alternatives and similar repositories for HR_Neural_Networks
Users that are interested in HR_Neural_Networks are comparing it to the libraries listed below
Sorting:
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Updated last year
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆25Updated 3 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 4 years ago
- ☆23Updated 2 years ago
- Reference implementations for RecurJac, CROWN, FastLin and FastLip (Neural Network verification and robustness certification algorithms)…☆27Updated 6 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆54Updated 3 years ago
- (ICML 2023) Feature learning in deep classifiers through Intermediate Neural Collapse: Accompanying code☆16Updated 2 years ago
- Certified robustness "for free" using off-the-shelf diffusion models and classifiers☆44Updated 2 years ago
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆32Updated 2 years ago
- ICLR 2023 paper "Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness" by Yuancheng Xu, Yanchao Sun, Micah Gold…☆25Updated 2 years ago
- ☆59Updated 5 years ago
- ☆51Updated last year
- Official code for FAccT'21 paper "Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning" https://arxiv.org/abs…☆13Updated 4 years ago
- Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]☆111Updated 3 months ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆148Updated last week
- Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)☆146Updated 2 years ago
- auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs☆338Updated last week
- LipSDP - Lipschitz Estimation for Neural Networks☆71Updated 3 years ago
- ☆20Updated 3 years ago
- ☆16Updated 2 years ago
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆90Updated 2 years ago
- ☆33Updated 2 years ago
- Code for paper 'ZO-AdaMM: Zeroth-Order Adaptive MomentumMethod for Black-Box Optimization'☆31Updated 5 years ago
- Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTor…☆98Updated 4 years ago
- Camouflage poisoning via machine unlearning☆19Updated 7 months ago
- ☆77Updated 2 years ago
- Likelihood Ratio Attack (LiRA) in PyTorch☆17Updated 11 months ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated 2 years ago
- ☆61Updated 2 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆56Updated 4 years ago