Koukyosyumei / AIJack
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
Why this job: matched by what the repo talks about: security, risk, privacy, machine
What it does
- All-around abilities for both attack & defense
- Fast Implementation with C++ backend
- MPI-Backend for Federated Learning
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 429
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 4 releases
- None marked latest
- Built with
- C++
- 57% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 79% closed
- 10 still open
- Pull requests
- 129 merged
- 0 waiting
- Releases
- 4
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics, project record and preview image
Languages
- C++ 57%
- Python 42%
- CMake <1%
- Shell <1%
Topics
- security
- machine-learning
- adversarial-attacks
- adversarial-examples
- adversarial-machine-learning
- membership-inference
- model-inversion-attacks
- evasion-attack
- poisoning-attacks
- privacy
- deep-learning
- homomorphic-encryption
Project record
- JobAI security
- StatusListed
- Commits947
- Forks65
- Watching2
- Stars in 28 days0
- CreatedJan 16, 2021
- First seen by usNov 7, 2026
- CheckedNov 8, 2026