AI-secure / Certified-Robustness-SoK-OldverLinks
This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on popular datasets and paper categorization.
☆98Updated 2 years ago
Alternatives and similar repositories for Certified-Robustness-SoK-Oldver
Users that are interested in Certified-Robustness-SoK-Oldver 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
- Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTor…☆97Updated 4 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Updated 4 years ago
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆33Updated 4 years ago
- A unified benchmark problem for data poisoning attacks☆156Updated last year
- Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching☆106Updated 10 months ago
- Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".☆124Updated 4 years ago
- Attacking a dog vs fish classification that uses transfer learning inceptionV3☆70Updated 7 years ago
- The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749☆34Updated 5 years ago
- [CCS 2021] TSS: Transformation-specific smoothing for robustness certification☆26Updated last year
- MACER: MAximizing CErtified Radius (ICLR 2020)☆30Updated 5 years ago
- ☆66Updated 5 years ago
- ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks☆169Updated 3 years ago
- ☆32Updated 10 months ago
- ☆85Updated 4 years ago
- Convex Layerwise Adversarial Training (COLT)☆28Updated 4 years ago
- Craft poisoned data using MetaPoison☆52Updated 4 years ago
- ☆158Updated 4 years ago
- Blackbox attacks for deep neural network models☆70Updated 6 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆44Updated 5 years ago
- Provable adversarial robustness at ImageNet scale☆392Updated 6 years ago
- ☆146Updated 9 months ago
- Code for Stability Training with Noise (STN)☆22Updated 4 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆55Updated 3 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- ☆25Updated 6 years ago
- CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks☆61Updated 3 years ago
- [NeurIPS 2021] Fast Certified Robust Training with Short Warmup☆24Updated last month
- A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.☆60Updated 6 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆142Updated 5 years ago