zj-jayzhang / Data-Free-Transfer-AttackLinks
Official PyTorch implementation of "Towards Efficient Data Free Black-Box Adversarial Attack" (CVPR 2022)
☆19Updated 3 years ago
Alternatives and similar repositories for Data-Free-Transfer-Attack
Users that are interested in Data-Free-Transfer-Attack are comparing it to the libraries listed below
Sorting:
- ☆22Updated 3 years ago
- Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples☆114Updated 3 years ago
- Beyond imagenet attack (accepted by ICLR 2022) towards crafting adversarial examples for black-box domains.☆61Updated 3 years ago
- Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability☆23Updated 3 years ago
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆28Updated 3 years ago
- code for "Feature Importance-aware Transferable Adversarial Attacks"☆87Updated 3 years ago
- Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)☆118Updated 3 years ago
- The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferabili…☆20Updated last year
- Official code for "Boosting the Adversarial Transferability of Surrogate Model with Dark Knowledge"☆12Updated 2 years ago
- Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…☆27Updated 2 years ago
- ☆37Updated last year
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 3 years ago
- ☆29Updated 4 years ago
- Enhancing the Transferability of Adversarial Attacks through Variance Tuning☆90Updated last year
- Official Source Code of "Exploring Effective Data for Surrogate Training Towards Black-box Attack" and "STDatav2: Accessing Efficient Bla…☆20Updated 8 months ago
- A curated list of papers for the transferability of adversarial examples☆75Updated last year
- ☆36Updated last year
- ☆35Updated 3 years ago
- The extension of "Patch-wise Attack for Fooling Deep Neural Network (ECCV2020)", and we aim to boost the success rates of targeted attack…☆28Updated 3 years ago
- Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"☆18Updated 9 months ago
- Generalized Data-free Universal Adversarial Perturbations in PyTorch☆20Updated 5 years ago
- Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.☆93Updated 3 years ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆31Updated 3 years ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Updated 3 years ago
- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆18Updated 2 years ago
- Code for the paper "Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity"☆60Updated 2 years ago
- [ACM MM 2023] Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer.☆22Updated last year
- ☆60Updated 2 years ago
- ☆36Updated last year
- [NeurIPS 2023] Boosting Adversarial Transferability by Achieving Flat Local Maxima☆34Updated last year