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CONTRIBUTING.md

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+# Contributing
+
+We currently do not accept PRs. 
+
+If you have a question or a feature request, please open an issue on the repository.

LICENSE

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+
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README.md

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+# Model Transparency
+
+<img align="right" src="https://slsa.dev/images/logo-mono.svg" width="140" height="140">
+
+<!-- markdown-toc --bullets="-" -i README.md -->
+
+<!-- toc -->
+
+- [Overview](#overview)
+- [Status](#status)
+- [Projects](#projects)
+  - [Model Signing](#model-signing)
+- [Contributing](#contributing)
+
+<!-- tocstop -->
+
+## Overview
+
+This repository will host a collection of utilities and examples related to the security of machine learning pipelines. The focus is on providing *verifiable* claims about the integrity and provenance of the resulting models, meaning users can check for themselves that these claims are true rather than having to just trust the model trainer.
+
+## Status
+
+This project is currently in alpha. We may make breaking changes until the first official release. All code should be viewed as experimental and should not be used in any production environment.
+
+## Projects
+
+### Model Signing
+
+This project demonstrates how to protect the integrity of a model by signing it with [Sigstore](https://www.sigstore.dev/), a tool for making code signatures transparent without requiring key maintenance.  When users download a given version of a signed model they can check that the signature comes from a known or trusted identity and thus that the model hasn't been tampered with after training.
+
+See [model_signing/README.md](model_signing/README.md) for more information.
+
+## Contributing
+
+We are not accepting PRs at this point in time. Please see the [Contributor Guide](CONTRIBUTING.md) for more information. 

SECURITY.md

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+# Reporting Security Issues
+
+To report a security issue, please use [GitHub's private vulnerability disclosure](https://docs.github.com/en/code-security/security-advisories/guidance-on-reporting-and-writing/privately-reporting-a-security-vulnerability).
+
+We will process your report as fast as we can, and respond within a week (although it may depend on the severity of your report).
+
+This project follows a 90 day disclosure timeline.

model_signing/README.md

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+# Model Signing
+
+This project demonstrates how to protect the integrity of a model by signing it with [Sigstore](https://www.sigstore.dev/).
+
+## Installation and usage
+
+```shell
+git clone git@github.com:google/model-transparency.git
+cd model-transparency/model_signing
+python3 -m venv test_env
+source test_env/bin/activate
+python3 -m pip install --require-hashes -r install/requirements.txt
+deactivate
+```
+
+## Running the CLI
+
+```shell
+python3 main.py -h
+```
+
+### Signing and Verifying Models / Training Checkpoints
+
+```shell
+# Enter the virtual environment.
+source test_env/bin/activate
+
+path=path/to/model
+
+# Signing.
+python3 main.py sign -h
+# Note: the example stores the signature as `<file>.sig` for a file, and `<dir>/model.sig` for a folder.
+python3 main.py sign --path "${path}"
+
+# Verification.
+python3 main.py verify -h
+python3 main.py verify --path "${path}" \
+    --email-provider https://accounts.google.com \
+    --email myemail@gmail.com
+
+# Leave the venv.
+deactivate
+```
+
+### Supported Email Providers
+
+Google's provider is `https://accounts.google.com`.
+
+GitHub's provider is `https://github.com/login/oauth`.
+
+Microsoft's provider is `https://login.microsoftonline.com`.
+
+### Supported Models
+
+#### TensorFlow / Tf Hub
+
+Example for Bertseq2seq model:
+
+```shell
+# NOTE: 2.8 GB model.
+model_path=bertseq2seq
+wget "https://tfhub.dev/google/bertseq2seq/bert24_en_de/1?tf-hub-format=compressed" -O "${model_path}".tgz
+mkdir -p "${model_path}"
+cd "${model_path}" && tar xvzf ../"${model_path}".tgz && rm ../"${model_path}".tgz && cd -
+python3 main.py sign --path "${model_path}"
+python3 main.py verify --path "${model_path}" \
+    --email-provider https://accounts.google.com \
+    --email myemail@gmail.com
+```
+
+#### Hugging face
+
+Pre-requisite: Install large file support for git:
+
+```shell
+sudo apt install git-lfs
+git lfs install
+```
+
+Example for Bert base model:
+
+```shell
+# NOTE: 6.4 GB model (TensorFlow and PyTorch).
+model_name=bert-base-uncased
+model_path="${model_name}"
+git clone "https://huggingface.co/${model_name}"
+python3 main.py sign --path "${model_path}"
+python3 main.py verify --path "${model_path}" \
+    --email-provider https://accounts.google.com \
+    --email myemail@gmail.com
+```
+
+Example for Falcon model:
+
+```shell
+# NOTE: 27 GB model (PyTorch).
+model_name=tiiuae/falcon-7b
+model_path=$(echo "${model_name}" | cut -d/ -f2)
+git clone "https://huggingface.co/${model_name}"
+python3 main.py sign --path "${model_path}"
+python3 main.py verify --path "${model_path}" \
+    --email-provider https://accounts.google.com \
+    --email myemail@gmail.com
+```
+
+#### PyTorch Hub
+
+Example for YOLOP model:
+
+```shell
+# NOTE: 350M model.
+model_name=hustvl/YOLOP
+model_path=$(echo "${model_name}" | cut -d/ -f2)
+git clone "https://github.com/${model_name}.git"
+python3 main.py sign --path "${model_path}"
+python3 main.py verify --path "${model_path}" \
+    --email-provider https://accounts.google.com \
+    --email myemail@gmail.com
+```
+
+#### ONNX
+
+Example for Roberta model:
+
+```shell
+# NOTE: 574M model.
+model_name=roberta-base-11
+model_path="${model_name}.onnx"
+wget "https://github.com/onnx/models/raw/main/text/machine_comprehension/roberta/model/${model_name}.onnx"
+python3 main.py sign --path "${model_path}"
+python3 main.py verify --path "${model_path}" \
+    --email-provider https://accounts.google.com \
+    --email myemail@gmail.com
+```