www-project-machine-learning-security-top-10
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feat(docs): create a cheatsheet for ML07 Transfer Learning Attack
- [ ] Is there existing cheatsheets at OWASP Cheatsheets
- [ ] If there is an existing cheatsheet, does it need updating at the source to cater for machine learning use cases?
- [ ] Is there a need for a new cheatsheet topic?
- [ ] Add existing or new cheatsheet as a reference to the Top 10 risk document
Example Cheatsheet: Input Validation Cheatsheet
Example of Top 10 risk referencing cheatsheets: ML01 Input Manipulation Attacks - Cheatsheets
adding @techiemac as potential lead to this due to his request for taking lead on the risk document.
adding @sagarbhure and @shsingh as backup
Hi @shsingh, can I take up this issue? I will prepare a draft with some code snippets for transfer learning. Will follow the format as given in the cheatsheet series. Thanks.
Hey @aryanxk02 , feel free to take this on! I’m happy to collaborate with you on this
I will prepare a draft that includes:
- Introduction
- Goals of transfer learning
- Strategies: feature extraction, fine tuning, etc.
- Implementation
- Best practices to follow: data augmentation, regularisation, etc
- Conclusion
Let me know @techiemac, what else topics should I cover here!
Hey @aryanxk02 , I saw your PR. Thanks for the contribution. I think it's a good start at explaining transfer learning but might need a bit more on the security side of it. I'll add a bit more to the PR tomorrow morning (CDT time) to help get you started. Then we can iterate on this.
Hey @aryanxk02 , I saw your PR. Thanks for the contribution. I think it's a good start at explaining transfer learning but might need a bit more on the security side of it. I'll add a bit more to the PR tomorrow morning (CDT time) to help get you started. Then we can iterate on this.
Sure, I'm happy to collaborate :)