tabacof / adv_vae
Adversarial Images for Variational Autoencoders
☆13Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for adv_vae
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Updated 6 years ago
- Code for "Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors"☆14Updated 6 years ago
- It turns out that adversarial and clean data are not twins, not at all.☆19Updated 7 years ago
- GANs with multiple Discriminators☆78Updated last year
- Related materials for robust and explainable machine learning☆48Updated 6 years ago
- A simple implement of an Adversarial Autoencoding ATN(AAE ATN)☆30Updated 7 years ago
- Coupling rejection strategy against adversarial attacks (CVPR 2022)☆28Updated 2 years ago
- ☆18Updated 5 years ago
- Repository for our ICCV 2019 paper: Adversarial Defense via Learning to Generate Diverse Attacks☆21Updated 3 years ago
- ☆25Updated 5 years ago
- Caffe code for the paper "Adversarial Manipulation of Deep Representations"☆16Updated 7 years ago
- Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing the…☆54Updated last year
- Implementation of our NeurIPS 2019 paper: Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks☆10Updated 4 years ago
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆59Updated 5 years ago
- Rob-GAN: Generator, Discriminator and Adversarial Attacker☆83Updated 5 years ago
- Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network☆62Updated 5 years ago
- ☆13Updated 6 years ago
- ☆46Updated 3 years ago
- StrAttack, ICLR 2019☆32Updated 5 years ago
- Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).☆26Updated 5 years ago
- Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.☆49Updated 5 years ago
- code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆26Updated 5 years ago
- Wide-residual network implementations. Best result for cifar10(97.12%), cifar100(84.12%), and other kaggle challenges☆37Updated 7 years ago
- Code of "Max-margin Deep Generative Models" (NIPS15)☆18Updated 9 years ago
- VectorDefense: Vectorization as a Defense to Adversarial Examples --->☆13Updated 6 years ago
- Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)☆16Updated last year
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆31Updated 4 years ago
- [CVPR 2018] Tensorflow implementation of NAG : Network for Adversary Generation☆32Updated 6 years ago
- f-GANs in an Information Geometric Nutshell☆13Updated 7 years ago
- Code for the unrestricted adversarial examples paper (NeurIPS 2018)☆63Updated 5 years ago