val-iisc / nag
[CVPR 2018] Tensorflow implementation of NAG : Network for Adversary Generation
☆32Updated 6 years ago
Alternatives and similar repositories for nag:
Users that are interested in nag are comparing it to the libraries listed below
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆59Updated 6 years ago
- Generalized Data-free Universal Adversarial Perturbations☆70Updated 6 years ago
- Rob-GAN: Generator, Discriminator and Adversarial Attacker☆84Updated 6 years ago
- Source code for Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (ECCV 2020)☆41Updated 6 years ago
- ☆25Updated 3 years ago
- Adversarial Examples for Semantic Segmentation and Object Detection☆123Updated 7 years ago
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆27Updated 6 years ago
- Public repo for transferability ICLR 2017 paper☆52Updated 6 years ago
- Tensorflow code for Sparse Adversarial Perturbations for Videos☆23Updated 6 years ago
- Image Super-Resolution as a Defense Against Adversarial Attacks☆91Updated 6 years ago
- Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)☆100Updated 3 years ago
- ☆21Updated 5 years ago
- This repo contains the code for CVPR submission "Big but Invisible Adversarial Attack"☆30Updated 5 years ago
- Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"☆102Updated 6 years ago
- Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"☆63Updated 5 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆59Updated 5 years ago
- Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)☆60Updated 3 years ago
- Data independent universal adversarial perturbations☆61Updated 5 years ago
- The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch☆60Updated 5 years ago
- ☆48Updated 4 years ago
- Black-box Adversarial Attacks on Video Recognition Models. (VBAD)☆26Updated 5 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 5 years ago
- This is PyTorch Implementation of Universal Adversarial Perturbation (https://arxiv.org/abs/1610.08401)☆43Updated 6 years ago
- A repository for the query-efficient black-box attack, SignHunter☆23Updated 5 years ago
- Analysis of Adversarial Logit Pairing☆60Updated 6 years ago
- The project page of paper: Projection & Probability-Driven Black-Box Attack [CVPR 2020]☆15Updated 4 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆73Updated 10 months ago
- Code of our recently published attack FDA: Feature Disruptive Attack. Colab Notebook: https://colab.research.google.com/drive/1WhkKCrzFq5…☆21Updated 5 years ago
- StrAttack, ICLR 2019☆33Updated 5 years ago
- ☆25Updated 5 years ago