RandolphCarter0 / TRMUAPLinks
[ICCV 2023] "TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization", Yiran Liu, Xin Feng, Yunlong Wang, Wu Yang, Di Ming*
☆11Updated 10 months ago
Alternatives and similar repositories for TRMUAP
Users that are interested in TRMUAP are comparing it to the libraries listed below
Sorting:
- [ACM MM 2023] Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer.☆19Updated last year
- Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability☆24Updated 2 years ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Updated 2 years ago
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- code for "Feature Importance-aware Transferable Adversarial Attacks"☆82Updated 2 years ago
- ☆22Updated 2 years ago
- Code for "Learning Universal Adversarial Perturbation by Adversarial Example"☆8Updated 3 years ago
- Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"☆18Updated 2 months ago
- Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples☆106Updated 2 years ago
- [NeurIPS 2023] Boosting Adversarial Transferability by Achieving Flat Local Maxima☆30Updated last year
- Revisiting Transferable Adversarial Images (arXiv)☆123Updated 2 months ago
- Official Tensorflow implementation for "Improving Adversarial Transferability via Neuron Attribution-based Attacks" (CVPR 2022)☆34Updated 2 years ago
- Universal Adversarial Perturbations (UAPs) for PyTorch☆48Updated 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…☆27Updated 3 years ago
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆26Updated 2 years ago
- Code for the paper "StyLess: Boosting the Transferability of Adversarial Examples" (CVPR 2023)☆25Updated last year
- Official Pytorch implementation for "Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization" (CVPR 20…☆27Updated last year
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆29Updated 3 years ago
- A curated list of papers for the transferability of adversarial examples☆68Updated 10 months ago
- ☆35Updated 2 years ago
- Official code for "Boosting the Adversarial Transferability of Surrogate Model with Dark Knowledge"☆11Updated last year
- ☆29Updated last year
- [ICCV 2023] Structure Invariant Transformation for better Adversarial Transferability☆23Updated last year
- ☆35Updated last year
- [CVPR 2022] Official implementation of the Object-based Diverse Input (ODI) method☆23Updated 2 years ago
- Enhancing the Self-Universality for Transferable Targeted Attacks [CVPR 2023 Paper]☆35Updated last year
- Codes for CVPR2020 paper "Towards Transferable Targeted Attack".☆15Updated 3 years ago
- Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…☆25Updated last year
- Generalized Data-free Universal Adversarial Perturbations in PyTorch☆19Updated 4 years ago
- Official codes for GRA (Accepted by ICCV2023)☆17Updated last year