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InfluxDB
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I want to share my project, AIJack, a security and privacy risk simulator for machine learning. Many papers show that machine learning is vulnerable to cyber-attacks and privacy violations. For example, hackers can reconstruct private training data from the trained model. To simulate such risks, AIJack allows you to experiment with various combinations of more than 30 attack and defense mechanisms, such as Model Inversion, Poisoning Attack, Evasion Attack, Federated Learning, Split Learning, Differential Privacy, and Homomorphic Encryption.
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