thestephencasper / feature_level_adv
Demo code for the paper: One Thing to Fool them All: Generating Interpretable, Universal, and Physically-Realizable Adversarial Features
☆12Updated last year
Alternatives and similar repositories for feature_level_adv:
Users that are interested in feature_level_adv are comparing it to the libraries listed below
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆29Updated 2 years ago
- ☆65Updated 11 months ago
- Paper sharing in adversary related works☆45Updated last week
- ☆39Updated last year
- ☆53Updated last year
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated last year
- Universal Adversarial Perturbations (UAPs) for PyTorch☆48Updated 3 years ago
- Certified robustness "for free" using off-the-shelf diffusion models and classifiers☆36Updated last year
- Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)☆29Updated last year
- [CVPR 2022] "Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free" by Tianlong Chen*, Zhenyu Zhang*, Yihua Zhang*, Shiyu C…☆26Updated 2 years ago
- A Self-Consistent Robust Error (ICML 2022)☆67Updated last year
- Adversarial Augmentation Against Adversarial Attacks☆28Updated last year
- ☆22Updated 3 years ago
- A Leaderboard for Certifiable Robustness against Adversarial Patch Attacks☆21Updated last year
- Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off☆29Updated 2 years ago
- ☆13Updated 2 years ago
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆32Updated 4 years ago
- ☆23Updated last year
- Beyond imagenet attack (accepted by ICLR 2022) towards crafting adversarial examples for black-box domains.☆60Updated 2 years ago
- Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)☆16Updated last year
- Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks☆45Updated 2 years ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆39Updated 3 years ago
- ☆33Updated 2 years ago
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆29Updated 2 years ago
- Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020☆26Updated 4 years ago
- ☆57Updated 2 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆52Updated last year
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆25Updated 2 months ago
- ☆21Updated 2 years ago