YunseokJANG / l2l-daLinks
Repository for our ICCV 2019 paper: Adversarial Defense via Learning to Generate Diverse Attacks
☆22Updated 4 years ago
Alternatives and similar repositories for l2l-da
Users that are interested in l2l-da are comparing it to the libraries listed below
Sorting:
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).☆26Updated 6 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 6 years ago
- Code for NeurIPS 2019 Paper☆47Updated 5 years ago
- Analysis of Adversarial Logit Pairing☆60Updated 7 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆45Updated 5 years ago
- ☆35Updated 4 years ago
- ☆26Updated 6 years ago
- [CVPR 2018] Tensorflow implementation of NAG : Network for Adversary Generation☆32Updated 7 years ago
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Updated 5 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- ☆88Updated last year
- Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.☆49Updated 6 years ago
- Code for "Robustness May Be at Odds with Accuracy"☆91Updated 2 years ago
- Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs☆96Updated 4 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆142Updated 5 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 4 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆32Updated 5 years ago
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆57Updated 6 years ago
- [ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation☆54Updated 3 months ago
- Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing the…☆55Updated 2 years ago
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Updated 7 years ago
- Implementation of our NeurIPS 2019 paper: Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks☆10Updated 5 years ago
- Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network☆62Updated 6 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆58Updated 5 years ago
- Smooth Adversarial Training☆67Updated 4 years ago
- Code Repository to check robustness of 3D Deep Learning (Volumetric and PointNet) to occlusion attacks☆14Updated 6 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆74Updated last year
- ☆21Updated 6 years ago
- Latent Space Virtual Adversarial Training (ECCV 2020)☆17Updated 4 years ago