IBM / CROWN-Robustness-Certification
CROWN: A Neural Network Verification Framework for Networks with General Activation Functions
☆38Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for CROWN-Robustness-Certification
- Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTor…☆93Updated 3 years ago
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆88Updated last year
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆22Updated 2 years ago
- Interval attacks (adversarial ML)☆21Updated 5 years ago
- Code for Stability Training with Noise (STN)☆21Updated 3 years ago
- CROWN: A Neural Network Robustness Certification Algorithm for General Activation Functions (This repository is outdated; use https://git…☆16Updated 5 years ago
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆40Updated 5 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- Efficient Robustness Verification for ReLU networks (this repository is outdated, don't use; checkout our new implementation at https://g…☆30Updated 5 years ago
- This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …☆99Updated 2 years ago
- The official repo for GCP-CROWN paper☆12Updated 2 years ago
- ☆11Updated 4 years ago
- ☆26Updated last year
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆46Updated last year
- Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet.☆25Updated 3 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆54Updated 2 years ago
- "Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers" (NeurIPS 2019, previously called "A Stratified Approach …☆17Updated 5 years ago
- Certifying Geometric Robustness of Neural Networks☆15Updated last year
- [ICLR 2020] Code for paper "Robustness Verification for Transformers"☆26Updated 2 years ago
- Code for paper "Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers"☆17Updated last year
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆32Updated 4 years ago
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆23Updated 5 years ago
- Reference implementations for RecurJac, CROWN, FastLin and FastLip (Neural Network verification and robustness certification algorithms)…☆26Updated 5 years ago
- Codes for reproducing the robustness evaluation scores in “Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approac…☆47Updated 6 years ago
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Updated 4 years ago
- The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749☆31Updated 4 years ago
- [NeurIPS 2021] Fast Certified Robust Training with Short Warmup☆23Updated last year
- Library for training globally-robust neural networks.☆28Updated last year
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆51Updated 4 years ago
- Fourth edition of VNN COMP (2023)☆16Updated last year
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆25Updated 4 months ago