boschresearch / meta-adversarial-training
Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet.
☆25Updated 4 years ago
Alternatives and similar repositories for meta-adversarial-training:
Users that are interested in meta-adversarial-training are comparing it to the libraries listed below
- Code for Stability Training with Noise (STN)☆21Updated 4 years ago
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Updated 2 years ago
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59Updated 5 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
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Updated 4 years ago
- CROWN: A Neural Network Verification Framework for Networks with General Activation Functions☆38Updated 6 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 2 years ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆38Updated 3 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
- PyTorch implementations of Adversarial defenses and utils.☆34Updated last year
- Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack☆31Updated 4 years ago
- Certified Patch Robustness via Smoothed Vision Transformers☆42Updated 3 years ago
- Codes for reproducing query-efficient black-box attacks in “AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking B…☆57Updated 5 years ago
- ☆47Updated 4 years ago
- Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).☆40Updated 4 years ago
- ☆54Updated 2 years ago
- Paper sharing in adversary related works☆45Updated last month
- ☆65Updated last year
- A repository for the query-efficient black-box attack, SignHunter☆23Updated 5 years ago
- Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"☆34Updated 4 years ago
- Codes for reproducing the robustness evaluation scores in “Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approac…☆52Updated 6 years ago
- Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"☆63Updated 5 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆72Updated 9 months ago
- Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs☆97Updated 3 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 3 years ago
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆23Updated 5 years ago
- Official Repository for the CVPR 2020 paper "Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs"☆43Updated last year
- ☆13Updated 4 years ago
- ☆39Updated last year