qizhangli / MoreBayesian-attack
Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.
☆17Updated last year
Alternatives and similar repositories for MoreBayesian-attack:
Users that are interested in MoreBayesian-attack are comparing it to the libraries listed below
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"☆19Updated last year
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆20Updated 6 months ago
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆26Updated 2 years ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆29Updated 2 years ago
- Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…☆23Updated last year
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆48Updated 2 years ago
- ☆34Updated 2 years ago
- SEAT☆20Updated last year
- Official repository for CVPR 2022 paper 'Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution'☆26Updated 2 years ago
- The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferabili…☆18Updated 6 months ago
- Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)☆15Updated 2 years ago
- ☆11Updated 2 years ago
- [ICCV 2023] Structure Invariant Transformation for better Adversarial Transferability☆23Updated last year
- ☆34Updated 8 months ago
- ☆21Updated 3 years ago
- An unofficial implementation of the paper《Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective》☆22Updated 2 years ago
- Code for Transferable Unlearnable Examples☆20Updated 2 years ago
- Official code for "Boosting the Adversarial Transferability of Surrogate Model with Dark Knowledge"☆11Updated last year
- TIFS2022: Decision-based Adversarial Attack with Frequency Mixup☆21Updated last year
- official repository for the NeurIPS 2022 paper "Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Att…☆20Updated 2 years ago
- Code for our NeurIPS 2020 paper Practical No-box Adversarial Attacks against DNNs.☆33Updated 4 years ago
- ☆22Updated 2 years ago
- Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability☆24Updated 2 years ago
- Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)☆17Updated last year
- Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)☆29Updated last year
- Beyond imagenet attack (accepted by ICLR 2022) towards crafting adversarial examples for black-box domains.☆60Updated 2 years ago
- Code for our NeurIPS 2023 paper Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly☆14Updated last year
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆39Updated 3 years ago
- The MCG black-box attack framework published in TPAMI 2022☆34Updated 2 years ago