shizhouxing / Local-Lipschitz-Constants
[NeurIPS 2022] Code for paper "Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation"
☆24Updated last year
Alternatives and similar repositories for Local-Lipschitz-Constants:
Users that are interested in Local-Lipschitz-Constants are comparing it to the libraries listed below
- The official repo for GCP-CROWN paper☆13Updated 2 years ago
- [NeurIPS 2021] Fast Certified Robust Training with Short Warmup☆24Updated last year
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆23Updated 2 years ago
- Reference implementations for RecurJac, CROWN, FastLin and FastLip (Neural Network verification and robustness certification algorithms)…☆26Updated 5 years ago
- Code for paper "Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers"☆17Updated 2 years ago
- β-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Verification☆29Updated 3 years ago
- CROWN: A Neural Network Verification Framework for Networks with General Activation Functions☆38Updated 6 years ago
- Fourth edition of VNN COMP (2023)☆16Updated 2 years ago
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Updated 4 years ago
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆26Updated 9 months ago
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆89Updated 2 years ago
- ☆11Updated 2 years ago
- [CCS 2021] TSS: Transformation-specific smoothing for robustness certification☆25Updated last year
- Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTor…☆94Updated 3 years ago
- VNN Neural Network Verification Competition 2021☆36Updated 3 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆18Updated 2 years ago
- Keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on popular da…☆18Updated 10 months ago
- Mixed integer programming for computing lipschitz constants of ReLU Networks☆16Updated 2 years ago
- [ICLR 2020] Code for paper "Robustness Verification for Transformers"☆27Updated 5 months ago
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆20Updated last year
- Code of On L-p Robustness of Decision Stumps and Trees, ICML 2020☆10Updated 4 years ago
- OVAL framework for BaB-based Neural Network Verification☆13Updated last year
- [ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.☆42Updated 3 years ago
- [ICLR 2022] "Sparsity Winning Twice: Better Robust Generalization from More Efficient Training" by Tianlong Chen*, Zhenyu Zhang*, Pengjun…☆39Updated 3 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- "Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers" (NeurIPS 2019, previously called "A Stratified Approach …☆17Updated 5 years ago
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆41Updated 6 years ago
- ICLR 2023 paper "Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness" by Yuancheng Xu, Yanchao Sun, Micah Gold…☆25Updated 2 years ago
- LipSDP - Lipschitz Estimation for Neural Networks☆66Updated 3 years ago
- [NeurIPS 2023] and [ICLR 2024] for robustness certification.☆10Updated 5 months ago