Atmyre / MCS2018_SolutionLinks
☆16Updated 6 years ago
Alternatives and similar repositories for MCS2018_Solution
Users that are interested in MCS2018_Solution are comparing it to the libraries listed below
Sorting:
- Deflecting Adversarial Attacks with Pixel Deflection☆71Updated 6 years ago
- Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"☆135Updated 4 years ago
- Robustness vs Accuracy Survey on ImageNet☆98Updated 3 years ago
- Rob-GAN: Generator, Discriminator and Adversarial Attacker☆85Updated 6 years ago
- Analysis of Adversarial Logit Pairing☆60Updated 6 years ago
- [ICCV'19] Improving Adversarial Robustness via Guided Complement Entropy☆40Updated 5 years ago
- ☆17Updated 6 years ago
- Data independent universal adversarial perturbations☆61Updated 5 years ago
- A PyTorch baseline attack example for the NIPS 2017 adversarial competition☆85Updated 7 years ago
- Image Super-Resolution as a Defense Against Adversarial Attacks☆90Updated 6 years ago
- ☆66Updated 6 years ago
- CAAD 2018 winning submissions☆35Updated 6 years ago
- Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.☆49Updated 5 years ago
- Code for ICCV2019 paper《Adversarial Learning with Margin-based Triplet Embedding Regularization》☆30Updated 5 years ago
- Python implementation for paper: Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples☆11Updated 6 years ago
- A fast sparse attack on deep neural networks.☆50Updated 4 years ago
- Show-and-Fool: Adversarial Examples for Image Captioning task☆55Updated 3 years ago
- Different Adversarial attack methods implemented in PyTorch on CIFAR-10 Dataset☆19Updated last month
- A collection of methods to fool the deep neural network☆76Updated 8 months ago
- NIPS Adversarial Vision Challenge☆41Updated 6 years ago
- Implementation of the Biased Boundary Attack for the NeurIPS 2018 Adversarial Vision Challenge☆13Updated 5 years ago
- The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch☆60Updated 6 years ago
- Targeted Mismatch Adversarial Attack☆17Updated 5 years ago
- Generalized Data-free Universal Adversarial Perturbations☆69Updated 6 years ago
- A simple implement of an Adversarial Autoencoding ATN(AAE ATN)☆30Updated 7 years ago
- ☆25Updated 5 years ago
- Code used in 'Exploring the Space of Black-box Attacks on Deep Neural Networks' (https://arxiv.org/abs/1712.09491)☆61Updated 7 years ago
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆58Updated 6 years ago
- Adversarial Attack Zoo and Victim Model Zoo for general Pixel-to-Pixel Tasks☆15Updated 5 years ago
- Source code for Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (ECCV 2020)☆41Updated 6 years ago