fabiocarrara / features-adversarial-det
Detect adversarial images from intermediate features in distance space
☆12Updated 6 years ago
Alternatives and similar repositories for features-adversarial-det:
Users that are interested in features-adversarial-det are comparing it to the libraries listed below
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆27Updated 6 years ago
- A simple implement of an Adversarial Autoencoding ATN(AAE ATN)☆30Updated 7 years ago
- Codes for reproducing the experimental results in "Proper Network Interpretability Helps Adversarial Robustness in Classification", publi…☆13Updated 4 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Updated 4 years ago
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Updated 4 years ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆38Updated 4 months ago
- ☆25Updated 5 years ago
- The official pytorch implementation of ACM MM 19 paper "MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks"☆11Updated 3 years ago
- Code for NeurIPS 2019 Paper☆48Updated 4 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆59Updated 6 years ago
- The project page of paper: Projection & Probability-Driven Black-Box Attack [CVPR 2020]☆15Updated 4 years ago
- This repo contains the code for CVPR submission "Big but Invisible Adversarial Attack"☆30Updated 5 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆59Updated 5 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Updated 3 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆73Updated 10 months ago
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆45Updated 3 years ago
- Source code for Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (ECCV 2020)☆41Updated 6 years ago
- Code for FAB-attack☆32Updated 4 years ago
- Strongest attack against Feature Scatter and Adversarial Interpolation☆25Updated 5 years ago
- ☆48Updated 4 years ago
- Rob-GAN: Generator, Discriminator and Adversarial Attacker☆84Updated 6 years ago
- Code for Black-Box Adversarial Attack with Transferable Model-based Embedding☆57Updated 4 years ago
- Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing the…☆55Updated 2 years ago
- Generalized Data-free Universal Adversarial Perturbations☆70Updated 6 years ago
- Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]☆28Updated 2 years ago
- This repository is for NeurIPS 2018 spotlight paper "Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples."☆31Updated 2 years ago
- The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch☆60Updated 5 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago
- This is the code for semi-supervised robust training (SRT).☆18Updated 2 years ago