huanzhang12 / CertifiedReLURobustnessLinks
Efficient Robustness Verification for ReLU networks (this repository is outdated, don't use; checkout our new implementation at https://github.com/Verified-Intelligence/auto_LiRPA instead)
☆30Updated 5 years ago
Alternatives and similar repositories for CertifiedReLURobustness
Users that are interested in CertifiedReLURobustness are comparing it to the libraries listed below
Sorting:
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆41Updated 6 years ago
- Certifying Geometric Robustness of Neural Networks☆16Updated 2 years ago
- All code for the Piecewise Linear Neural Networks verification: A comparative study paper☆35Updated 6 years ago
- ☆26Updated 2 years ago
- CROWN: A Neural Network Robustness Certification Algorithm for General Activation Functions (This repository is outdated; use https://git…☆17Updated 6 years ago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
- Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTor…☆97Updated 4 years ago
- CROWN: A Neural Network Verification Framework for Networks with General Activation Functions☆38Updated 6 years ago
- Reference implementations for RecurJac, CROWN, FastLin and FastLip (Neural Network verification and robustness certification algorithms)…☆26Updated 5 years ago
- Interval attacks (adversarial ML)☆21Updated 6 years ago
- An Algorithm to Quantify Robustness of Recurrent Neural Networks☆49Updated 5 years ago
- Safety Verification of Deep Neural Networks☆50Updated 7 years ago
- Code for Stability Training with Noise (STN)☆22Updated 4 years ago
- Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]☆50Updated 5 years ago
- AAAI 2019 oral presentation☆52Updated last month
- β-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Verification☆29Updated 3 years ago
- Codes for reproducing the robustness evaluation scores in “Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approac…☆52Updated 6 years ago
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆24Updated 2 years ago
- The official repo for GCP-CROWN paper☆13Updated 2 years ago
- Analysis of Adversarial Logit Pairing☆60Updated 6 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- Official implementation for paper: A New Defense Against Adversarial Images: Turning a Weakness into a Strength☆38Updated 5 years ago
- "Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers" (NeurIPS 2019, previously called "A Stratified Approach …☆17Updated 5 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆32Updated 5 years ago
- PLANET: a Piece-wise LineAr feed-forward NEural network verification Tool☆42Updated 6 years ago
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆90Updated 2 years ago
- A community-run reference for state-of-the-art adversarial example defenses.☆50Updated 9 months ago
- Fourth edition of VNN COMP (2023)☆16Updated 2 years ago
- CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks☆61Updated 3 years ago
- Sherlock is a tool for output range anaylsis of Deep Neural Networks with ReLU activation units.☆29Updated 5 years ago