JHL-HUST / ATDA
Improving the Generalization of Adversarial Training with Domain Adaptation
☆32Updated 5 years ago
Alternatives and similar repositories for ATDA:
Users that are interested in ATDA are comparing it to the libraries listed below
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Updated 4 years ago
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆27Updated 6 years ago
- StrAttack, ICLR 2019☆32Updated 5 years ago
- Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".☆122Updated 4 years ago
- AAAI 2019 oral presentation☆50Updated 5 months ago
- Code for FAB-attack☆32Updated 4 years ago
- A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.☆60Updated 6 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆144Updated 4 years ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆35Updated 4 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆140Updated 4 years ago
- ☆53Updated last year
- Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing the…☆55Updated 2 years ago
- Implementation of Wasserstein adversarial attacks.☆23Updated 4 years ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 4 years ago
- Adversarial Distributional Training (NeurIPS 2020)☆62Updated 3 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆36Updated last month
- ☆40Updated last year
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated last year
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Updated 4 years ago
- Blackbox attacks for deep neural network models☆70Updated 6 years ago
- Official implementation for paper: A New Defense Against Adversarial Images: Turning a Weakness into a Strength☆38Updated 4 years ago
- Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…☆93Updated 4 years ago
- Spatially Transformed Adversarial Examples with TensorFlow☆72Updated 6 years ago
- A simple implement of an Adversarial Autoencoding ATN(AAE ATN)☆30Updated 7 years ago
- Pytorch Adversarial Attack Framework☆78Updated 5 years ago
- Mitigating Adversarial Effects Through Randomization☆119Updated 6 years ago
- Pytorch code for ens_adv_train☆16Updated 5 years ago
- Pytorch - Adversarial Training☆26Updated 6 years ago
- RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)☆56Updated 4 years ago