phibenz / uap_virtual_data.pytorchLinks
☆29Updated 4 years ago
Alternatives and similar repositories for uap_virtual_data.pytorch
Users that are interested in uap_virtual_data.pytorch are comparing it to the libraries listed below
Sorting:
- Universal Adversarial Perturbations (UAPs) for PyTorch☆49Updated 4 years ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Updated 3 years ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆31Updated 3 years ago
- Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"☆70Updated 5 years ago
- ☆58Updated 3 years ago
- Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)☆118Updated 3 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆28Updated 3 years ago
- ☆27Updated 3 years ago
- code for "Feature Importance-aware Transferable Adversarial Attacks"☆87Updated 3 years ago
- Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).☆42Updated 5 years ago
- Enhancing the Transferability of Adversarial Attacks through Variance Tuning☆90Updated last year
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆152Updated 5 years ago
- Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)☆100Updated 4 years ago
- Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)☆29Updated 2 years ago
- Beyond imagenet attack (accepted by ICLR 2022) towards crafting adversarial examples for black-box domains.☆61Updated 3 years ago
- Generalized Data-free Universal Adversarial Perturbations in PyTorch☆20Updated 5 years ago
- Adversarial Robustness, White-box, Adversarial Attack☆52Updated 3 years ago
- Codes for CVPR2020 paper "Towards Transferable Targeted Attack".