Alexkael / Randomized-Adversarial-TrainingLinks
☆29Updated last year
Alternatives and similar repositories for Randomized-Adversarial-Training
Users that are interested in Randomized-Adversarial-Training are comparing it to the libraries listed below
Sorting:
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆26Updated 2 years ago
- A curated list of papers for the transferability of adversarial examples☆68Updated 10 months ago
- Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability☆24Updated 2 years ago
- ☆35Updated 11 months ago
- Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples☆106Updated 2 years ago
- Code for Transferable Unlearnable Examples☆20Updated 2 years ago
- code for "Feature Importance-aware Transferable Adversarial Attacks"☆82Updated 2 years ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Updated 2 years ago
- [NeurIPS 2023] Boosting Adversarial Transferability by Achieving Flat Local Maxima☆30Updated last year
- [ACM MM 2023] Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer.☆19Updated last year
- Adversarial Robustness, White-box, Adversarial Attack☆50Updated 2 years ago
- Enhancing the Self-Universality for Transferable Targeted Attacks [CVPR 2023 Paper]☆35Updated last year
- Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"☆18Updated 2 months ago
- Towards Efficient and Effective Adversarial Training, NeurIPS 2021☆17Updated 3 years ago
- Official codes for GRA (Accepted by ICCV2023)☆17Updated last year
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…☆25Updated last year
- ☆22Updated 2 years ago
- The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferabili…☆19Updated 9 months ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆29Updated 3 years ago
- Revisiting Transferable Adversarial Images (arXiv)☆123Updated 2 months ago
- ☆35Updated 2 years ago
- [ICCV 2023] Structure Invariant Transformation for better Adversarial Transferability☆23Updated last year
- ☆28Updated 4 years ago
- CVPR 2025 - Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models☆30Updated 3 months ago
- Code for our NeurIPS 2023 paper Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly☆14Updated last year
- Codes for CVPR2020 paper "Towards Transferable Targeted Attack".☆15Updated 3 years ago
- Code repository for CVPR2024 paper 《Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness》☆21Updated last year
- The official repo for the paper "An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability"☆40Updated last year
- Official Tensorflow implementation for "Improving Adversarial Transferability via Neuron Attribution-based Attacks" (CVPR 2022)☆34Updated 2 years ago