A
AIJack
Koukyosyumei/AIJack
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
★432stars
C++
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A , built with C++ open-source project in the Security & Governance category, core strengths: adversarial-attacks/adversarial-examples
Who made it?Maintained by Koukyosyumei team, 432⭐ on GitHub, #206 out of 413 in Security & Governance
Why does it exist?With the growing demand for adversarial-attacks and adversarial-examples in Security & Governance, Koukyosyumei created AIJack as a streamlined solution.
What can it do?Key use cases: adversarial-machine-learning, dbms, deep-learning
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/Koukyosyumei/AIJack | 官网 https://koukyosyumei.github.io/AIJack/
🔗 github.com/Koukyosyumei/AIJack | 官网 https://koukyosyumei.github.io/AIJack/
Topics
adversarial-attacksadversarial-examplesadversarial-machine-learningdbmsdeep-learningdifferential-privacyevasion-attackfederated-learninghomomorphic-encryptionk-anonymitymachine-learningmembership-inferencemodel-inversion-attackspaillierpaillier-cryptosystempoisoning-attacksprivacysecurity