ferjad / Universal_Adversarial_Perturbation_pytorchLinks
A PyTorch Implementation of the UAP attack
☆19Updated 6 years ago
Alternatives and similar repositories for Universal_Adversarial_Perturbation_pytorch
Users that are interested in Universal_Adversarial_Perturbation_pytorch are comparing it to the libraries listed below
Sorting:
- ☆41Updated last year
- Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"☆70Updated 4 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 4 years ago
- Codes for CVPR2020 paper "Towards Transferable Targeted Attack".☆15Updated 3 years ago
- Code for "Adversarial Camouflage: Hiding Physical World Attacks with Natural Styles" (CVPR 2020)☆92Updated 2 years ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆38Updated 6 months ago
- code for "Feature Importance-aware Transferable Adversarial Attacks"☆82Updated 3 years ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Updated 2 years ago
- Enhancing the Transferability of Adversarial Attacks through Variance Tuning☆88Updated last year
- Boosting Transferability through Enhanced Momentum☆14Updated last year
- Adversarial attacks including DeepFool and C&W☆13Updated 6 years ago
- Robust Adversarial Perturbation on Deep Proposal-based Models☆25Updated 2 years ago
- Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)☆61Updated 3 years ago
- The implementation of our paper: Composite Adversarial Attacks (AAAI2021)☆30Updated 3 years ago
- ☆26Updated 2 years ago
- Defending Against Physically Realizable Attacks on Image Classification☆34Updated 3 years ago
- ☆71Updated 4 years ago
- Ensemble Adversarial Training on MNIST with pytorch☆20Updated 6 years ago
- ☆58Updated 2 years ago
- A PyTorch implementation of universal adversarial perturbation (UAP) which is more easy to understand and implement.☆56Updated 3 years ago
- Implementation of ECCV 2020 "Sparse Adversarial Attack via Perturbation Factorization"☆27Updated 4 years ago
- This is PyTorch Implementation of Universal Adversarial Perturbation (https://arxiv.org/abs/1610.08401)☆45Updated 6 years ago
- Adversarial Robustness, White-box, Adversarial Attack☆50Updated 2 years ago
- Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).☆40Updated 4 years ago
- Implementation of https://arxiv.org/abs/1610.08401 for the CS-E4070 - Special Course in Machine Learning and Data Science: Advanced Topic…☆62Updated 5 years ago
- Code for Black-Box Adversarial Attack with Transferable Model-based Embedding☆58Updated 5 years ago
- The code of our AAAI 2021 paper "Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-transform Domain"☆16Updated 4 years ago
- Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.☆92Updated 3 years ago
- Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack☆32Updated 4 years ago