KaidiXu / ZO-AdaMMLinks
Code for paper 'ZO-AdaMM: Zeroth-Order Adaptive MomentumMethod for Black-Box Optimization'
☆28Updated 5 years ago
Alternatives and similar repositories for ZO-AdaMM
Users that are interested in ZO-AdaMM are comparing it to the libraries listed below
Sorting:
- RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)☆56Updated 4 years ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆39Updated 4 years ago
- ☆157Updated 4 years ago
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Updated 5 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 4 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆56Updated 3 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆47Updated 3 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 3 years ago
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆24Updated 3 years ago
- ☆24Updated 3 years ago
- Implementation of Wasserstein adversarial attacks.☆23Updated 4 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆36Updated 4 years ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆31Updated last year
- Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"☆34Updated 5 years ago
- Adversarial Distributional Training (NeurIPS 2020)☆63Updated 4 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
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆20Updated 2 years ago
- MACER: MAximizing CErtified Radius (ICLR 2020)☆30Updated 5 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 the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆53Updated 2 years ago
- Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks☆46Updated 3 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆74Updated last year
- [ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers☆12Updated 3 years ago
- Certified robustness "for free" using off-the-shelf diffusion models and classifiers☆44Updated 2 years ago
- ☆23Updated 2 years ago
- Codes for reproducing query-efficient black-box attacks in “AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking B…☆58Updated 5 years ago
- A Self-Consistent Robust Error (ICML 2022)☆69Updated 2 years ago
- Targeted black-box adversarial attack using Bayesian Optimization☆37Updated 5 years ago
- SEAT☆21Updated 2 years ago
- Code for paper "Robustness of Bayesian Neural Networks to Gradient-Based Attacks"☆17Updated last year