CUAI / Intermediate-Level-Attack
[ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)
☆78Updated 5 years ago
Alternatives and similar repositories for Intermediate-Level-Attack:
Users that are interested in Intermediate-Level-Attack are comparing it to the libraries listed below
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 4 years ago
- Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"☆71Updated 4 years ago
- Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)☆98Updated 3 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆72Updated 8 months ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆144Updated 4 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago
- ☆57Updated 2 years ago
- Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)☆59Updated 3 years ago
- code for "Feature Importance-aware Transferable Adversarial Attacks"☆80Updated 2 years ago
- Strongest attack against Feature Scatter and Adversarial Interpolation☆25Updated 5 years ago
- ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"☆37Updated 2 years ago
- Code for Black-Box Adversarial Attack with Transferable Model-based Embedding☆57Updated 4 years ago
- Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).☆40Updated 4 years ago
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆140Updated last year
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 3 years ago
- ☆45Updated 5 years ago
- A PyTorch implementation of universal adversarial perturbation (UAP) which is more easy to understand and implement.☆53Updated 2 years ago
- Large yet imperceptible adversarial perturbations with perceptual color distance (CVPR 2020)☆59Updated 2 years ago
- Generative Adversarial Perturbations (CVPR 2018)☆137Updated 4 years ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆48Updated 2 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 3 years ago
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆59Updated 5 years ago
- Pytorch - Adversarial Training☆26Updated 6 years ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆36Updated 2 months ago
- Code for our NeurIPS 2020 paper Practical No-box Adversarial Attacks against DNNs.☆33Updated 4 years ago
- Adversarial Distributional Training (NeurIPS 2020)☆62Updated 3 years ago
- Code for "Adversarial Camouflage: Hiding Physical World Attacks with Natural Styles" (CVPR 2020)☆89Updated last year
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆35Updated 4 years ago
- Enhancing the Transferability of Adversarial Attacks through Variance Tuning☆85Updated 11 months ago
- This repo contains the code for CVPR submission "Big but Invisible Adversarial Attack"☆30Updated 4 years ago