https://github.com/Koukyosyumei/AIJack

Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
https://github.com/Koukyosyumei/AIJack

adversarial-attacks adversarial-examples adversarial-machine-learning dbms deep-learning differential-privacy evasion-attack federated-learning homomorphic-encryption k-anonymity machine-learning membership-inference model-inversion-attacks paillier paillier-cryptosystem poisoning-attacks privacy security

Last synced: 6 months ago
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Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

• Host: GitHub
• URL: https://github.com/Koukyosyumei/AIJack
• Owner: Koukyosyumei
• License: apache-2.0
• Created: 2021-01-16T07:59:53.000Z (almost 5 years ago)
• Default Branch: main
• Last Pushed: 2025-04-20T14:23:04.000Z (7 months ago)
• Last Synced: 2025-05-24T08:02:03.695Z (6 months ago)
• Topics: adversarial-attacks, adversarial-examples, adversarial-machine-learning, dbms, deep-learning, differential-privacy, evasion-attack, federated-learning, homomorphic-encryption, k-anonymity, machine-learning, membership-inference, model-inversion-attacks, paillier, paillier-cryptosystem, poisoning-attacks, privacy, security
• Language: C++
• Homepage: https://arxiv.org/abs/2312.17667
• Size: 152 MB
• Stars: 388
• Watchers: 3
• Forks: 63
• Open Issues: 11
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

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