Verified-Intelligence / auto_LiRPALinks
auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs
☆332Updated this week
Alternatives and similar repositories for auto_LiRPA
Users that are interested in auto_LiRPA are comparing it to the libraries listed below
Sorting:
- alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, 2023, 2024, 2025)☆331Updated this week
- Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTor…☆99Updated 4 years ago
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆90Updated 2 years ago
- This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715☆161Updated 5 years ago
- Provable adversarial robustness at ImageNet scale☆403Updated 6 years ago
- β-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Verification☆31Updated 4 years ago
- This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …☆98Updated 3 years ago
- Convex Layerwise Adversarial Training (COLT)☆29Updated 4 years ago
- [NeurIPS 2021] Fast Certified Robust Training with Short Warmup☆25Updated 6 months ago
- Reference implementations for RecurJac, CROWN, FastLin and FastLip (Neural Network verification and robustness certification algorithms)…☆27Updated 6 years ago
- Fourth edition of VNN COMP (2023)☆16Updated 2 years ago
- ☆160Updated 4 years ago
- ☆11Updated 3 years ago
- The official repo for GCP-CROWN paper☆13Updated 3 years ago
- CROWN: A Neural Network Robustness Certification Algorithm for General Activation Functions (This repository is outdated; use https://git…☆17Updated 7 years ago
- CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks☆63Updated 4 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆450Updated last year
- ☆22Updated 4 years ago
- [NeurIPS 2022] Code for paper "Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation"☆27Updated 2 years ago
- A method for training neural networks that are provably robust to adversarial attacks.☆390Updated 3 years ago
- A unified benchmark problem for data poisoning attacks☆161Updated 2 years ago
- [CCS 2021] TSS: Transformation-specific smoothing for robustness certification☆26Updated 2 years ago
- LipSDP - Lipschitz Estimation for Neural Networks☆71Updated 3 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆551Updated 2 years ago
- Codes for reproducing the black-box adversarial attacks in “ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Network…☆63Updated 6 years ago
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆754Updated 8 months ago
- Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]☆170Updated 5 years ago
- Code of On L-p Robustness of Decision Stumps and Trees, ICML 2020☆10Updated 5 years ago
- Library containing PyTorch implementations of various adversarial attacks and resources☆167Updated 3 weeks ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Updated 4 years ago