huanzhang12 / CROWN-IBPLinks
Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTorch).
☆98Updated 4 years ago
Alternatives and similar repositories for CROWN-IBP
Users that are interested in CROWN-IBP are comparing it to the libraries listed below
Sorting:
- This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715☆161Updated 5 years ago
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆90Updated 2 years ago
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆41Updated 6 years ago
- This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …☆98Updated 2 years ago
- Convex Layerwise Adversarial Training (COLT)☆28Updated 4 years ago
- auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs☆319Updated 4 months ago
- Code for Stability Training with Noise (STN)☆22Updated 4 years ago
- [NeurIPS 2021] Fast Certified Robust Training with Short Warmup☆24Updated 2 months ago
- ☆26Updated 2 years ago
- Reference implementations for RecurJac, CROWN, FastLin and FastLip (Neural Network verification and robustness certification algorithms)…☆26Updated 5 years ago
- Official implementation for paper: A New Defense Against Adversarial Images: Turning a Weakness into a Strength☆38Updated 5 years ago
- Code of On L-p Robustness of Decision Stumps and Trees, ICML 2020☆10Updated 5 years ago
- The official repo for GCP-CROWN paper☆13Updated 2 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆55Updated 3 years ago
- ☆158Updated 4 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆142Updated 5 years ago
- CROWN: A Neural Network Verification Framework for Networks with General Activation Functions☆38Updated 6 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆227Updated 5 years ago
- CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks☆62Updated 4 years ago
- Interval attacks (adversarial ML)☆21Updated 6 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆24Updated 2 years ago
- Provable adversarial robustness at ImageNet scale☆396Updated 6 years ago
- MACER: MAximizing CErtified Radius (ICLR 2020)☆30Updated 5 years ago
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆26Updated last year
- β-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Verification☆29Updated 3 years ago
- CROWN: A Neural Network Robustness Certification Algorithm for General Activation Functions (This repository is outdated; use https://git…☆17Updated 6 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Updated 4 years ago
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆33Updated 4 years ago
- Efficient Robustness Verification for ReLU networks (this repository is outdated, don't use; checkout our new implementation at https://g…☆30Updated 5 years ago