klasleino / gloroLinks
Library for training globally-robust neural networks.
☆31Updated 5 months ago
Alternatives and similar repositories for gloro
Users that are interested in gloro are comparing it to the libraries listed below
Sorting:
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆90Updated 2 years ago
- ☆67Updated 6 years ago
- ☆68Updated 5 years ago
- Code of On L-p Robustness of Decision Stumps and Trees, ICML 2020☆10Updated 5 years ago
- Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTor…☆99Updated 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
- Code for Auditing DPSGD☆37Updated 3 years ago
- ☆22Updated 3 years ago
- A unified benchmark problem for data poisoning attacks☆161Updated 2 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆88Updated 4 years ago
- ☆32Updated last year
- Fourth edition of VNN COMP (2023)☆16Updated 2 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆132Updated last year
- Attacking a dog vs fish classification that uses transfer learning inceptionV3☆74Updated 7 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆46Updated 6 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆47Updated 7 years ago
- Code for ML Doctor☆92Updated last year
- β-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Verification☆31Updated 4 years ago
- ☆151Updated last year
- A method for training neural networks that are provably robust to adversarial attacks. [IJCAI 2019]☆10Updated 6 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆67Updated 4 years ago
- ☆11Updated 3 years ago
- Learning Security Classifiers with Verified Global Robustness Properties (CCS'21) https://arxiv.org/pdf/2105.11363.pdf☆28Updated 4 years ago
- Code release for DeepJudge (S&P'22)☆52Updated 2 years ago
- ☆12Updated 5 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆85Updated 4 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆39Updated 7 years ago
- Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)☆17Updated 5 years ago
- ☆46Updated 6 years ago
- Codes for reproducing the experimental results in "CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Net…☆27Updated 4 years ago