# RUB-SysSec/GANDCTAnalysis

<https://repo.masters-masters.com/en/repos/RUB-SysSec/GANDCTAnalysis>

[Home](https://repo.masters-masters.com/en) › [RUB-SysSec](https://repo.masters-masters.com/en/owners/RUB-SysSec) › [GANDCTAnalysis](https://repo.masters-masters.com/en/repos/RUB-SysSec/GANDCTAnalysis)

RUB-SysSec/GANDCTAnalysis has 202 stars on GitHub. Its RepoMasters card: Prototype tier. Code for the ICML 2020 paper: Leveraging Frequency Analysis for Deep…

| Field | Value |
| --- | --- |
| Owner | [RUB-SysSec](https://repo.masters-masters.com/en/owners/RUB-SysSec) |
| Stars | 202 |
| Forks | 29 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [RUB-SysSec/GANDCTAnalysis](https://github.com/RUB-SysSec/GANDCTAnalysis) |

## Repository

Code for the ICML 2020 paper: Leveraging Frequency Analysis for Deep Fake Image Recognition.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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