> For the complete documentation index, see [llms.txt](https://pace-tl.gitbook.io/ches-challenge-2025/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://pace-tl.gitbook.io/ches-challenge-2025/quickstart-3.md).

# Submission

This section outlines the steps to prepare, package, and test your submission.\
At this point, we assume that the attack works in `analyze_{pytorch/tf}.py`

## Submission Directory

The directory `ches2025_{pytorch/tf}_{team_name}_{submission_no}` must contain the following:

1. analyze\_{pytorch/tf}.py
2. `src` folder with the following `dataloader.py`, `utils.py`, `net.py`, `trainer.py` and any other files that are required to run `analyze_{pytorch/tf}.py` 
3. Model file in `.pth` (for Pytorch) or `.h5` (for Tensorflow)
4. ReadMe file named `submission.md` that has the name of the participants, GE and NTGE on the public dataset (see [Datasets](/ches-challenge-2025/quickstart-2.md)). The `submission.md` will look like the following:

```
1. Names of participants
2. Emails of the participants
3. GE = 0.0
4. NTGE= 96369
```

Zip the directory `ches2025_{pytorch/tf}_{team_name}_{submission_no}`.

Next, please submit the directory to the [organizers](mailto:pace.tl.ntu@gmail.com).

*Start your `submission_no` with 0. For each submission, increase this number by 1.* 

*Note:* Only attacks on byte $$0$$ are considered within the scope of the competition..


---

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