shizhouxing / Local-Lipschitz-Constants
[NeurIPS 2022] Code for paper "Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation"
☆22Updated 11 months ago
Related projects ⓘ
Alternatives and complementary repositories for Local-Lipschitz-Constants
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆22Updated 2 years ago
- Reference implementations for RecurJac, CROWN, FastLin and FastLip (Neural Network verification and robustness certification algorithms)…☆26Updated 4 years ago
- The official repo for GCP-CROWN paper☆12Updated 2 years ago
- β-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Verification☆30Updated 3 years ago
- Code for paper "Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers"☆17Updated last year
- Fourth edition of VNN COMP (2023)☆16Updated last year
- Mixed integer programming for computing lipschitz constants of ReLU Networks☆17Updated last year
- [NeurIPS 2021] Fast Certified Robust Training with Short Warmup☆23Updated last year
- [ICLR 2021: Spotlight] Source code for the paper "A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Infer…☆15Updated 2 years ago
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆88Updated last year
- [ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.☆41Updated 2 years ago
- Keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on popular da …☆17Updated 5 months ago
- VNN Neural Network Verification Competition 2021☆37Updated 3 years ago
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆25Updated 3 months ago
- CROWN: A Neural Network Robustness Certification Algorithm for General Activation Functions (This repository is outdated; use https://git…☆16Updated 5 years ago
- Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTor…☆93Updated 3 years ago
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆19Updated 7 months ago
- [ICLR 2020] Code for paper "Robustness Verification for Transformers"☆26Updated 2 years ago
- CROWN: A Neural Network Verification Framework for Networks with General Activation Functions☆38Updated 5 years ago
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Updated 4 years ago
- ☆11Updated 2 years ago
- Benchmarks for the VNN Comp 2022☆9Updated 5 months ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆52Updated last year
- Library for training globally-robust neural networks.☆28Updated last year
- OVAL framework for BaB-based Neural Network Verification☆13Updated 9 months ago
- [NeurIPS 2023] and [ICLR 2024] for robustness certification.☆9Updated 10 months ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- LipSDP - Lipschitz Estimation for Neural Networks☆62Updated 2 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆15Updated last year
- Code for paper 'ZO-AdaMM: Zeroth-Order Adaptive MomentumMethod for Black-Box Optimization'☆27Updated 4 years ago