JonasGeiping / breaching
Breaching privacy in federated learning scenarios for vision and text
Why this job: works in the areas we cover, but does not say which job it does
What it does
This PyTorch framework implements a number of gradient inversion attacks that *breach* privacy in federated learning scenarios, covering examples with small and large aggregation sizes and examples both in vision and in text domains.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 9 months ago
- Stars
- 328
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 9 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- security
- machine-learning
- pytorch
- federated-learning
- decentralized-learning
- privacy-audit
Project record
- JobOther AI tools
- StatusListed
- Commits719
- Forks72
- Watching2
- Stars in 28 days+3
- CreatedFeb 15, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026