| kabkabm/defensegan |
164 |
|
0 |
0 |
over 6 years ago |
0 |
|
11 |
apache-2.0 |
Python |
| Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018) |
| xuanqing94/RobGAN |
51 |
|
0 |
0 |
almost 7 years ago |
0 |
|
2 |
mit |
Python |
| Rob-GAN: Generator, Discriminator and Adversarial Attacker |
| Jaskiee/GAN-Attack-against-Federated-Deep-Learning |
46 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
Python |
| The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning. |
| DingfanChen/GAN-Leaks |
35 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
mit |
Python |
| Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020) |
| xuczhang/AdvPaperRoadMap |
11 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
|
| Adversarial Example Papers Reading Roadmap in Deep Neural Network |
| microsoft/privGAN |
11 |
|
0 |
0 |
about 5 years ago |
5 |
October 13, 2020 |
0 |
mit |
Jupyter Notebook |
| PrivGAN: Protecting GANs from membership inference attacks at low cost |
| mattbev/6.867-final-project |
9 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
mit |
Python |
| Adversarial attacks and defenses against federated learning. |
| joeybose/atgan |
7 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| GAN for adversarial attacks; CSC2541 project. |
| Towson-Research/GAN-Balancing-Datasets |
5 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| COSC 490 Towson University |
| ndb796/Deep-Learning-Security-Basic-for-KISA |
5 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
