sokcertifiedrobustness / sokcertifiedrobustness.github.ioLinks
Keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on popular datasets
☆19Updated last year
Alternatives and similar repositories for sokcertifiedrobustness.github.io
Users that are interested in sokcertifiedrobustness.github.io are comparing it to the libraries listed below
Sorting:
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Updated 4 years ago
- ☆53Updated 2 years ago
- ☆54Updated 4 years ago
- [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa …☆39Updated last year
- ☆23Updated 2 years ago
- A Leaderboard for Certifiable Robustness against Adversarial Patch Attacks☆20Updated 2 years ago
- ☆11Updated 2 years ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆37Updated 5 years ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆33Updated 2 years ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆63Updated 2 years ago
- Universal Adversarial Perturbations (UAPs) for PyTorch☆49Updated 4 years ago
- ☆69Updated last year
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆90Updated 2 years ago
- Revisiting Transferable Adversarial Images (TPAMI 2025)☆140Updated 4 months ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Updated 3 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆98Updated 3 years ago
- [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable☆169Updated last year
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 3 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Updated 3 years ago
- Certified robustness "for free" using off-the-shelf diffusion models and classifiers☆44Updated 2 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆56Updated 4 years ago
- ☆22Updated 4 years ago
- Official Tensorflow implementation for "Improving Adversarial Transferability via Neuron Attribution-based Attacks" (CVPR 2022)☆35Updated 2 years ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆31Updated 3 years ago
- Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)☆146Updated 2 years ago
- Code for "PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier"☆46Updated 2 years ago
- A unified benchmark problem for data poisoning attacks☆161Updated 2 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago
- This repo is the official implementation of the ICLR'23 paper "Towards Robustness Certification Against Universal Perturbations." We calc…☆12Updated 2 years ago
- Code for "Label-Consistent Backdoor Attacks"☆57Updated 5 years ago