Cryptographic protection of ML models
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Imagine a system that operates with ML models. These models are unique and work with user-generated content better than anyone else.
Imagine a system that operates with ML models. These models are unique and work with user-generated content better than anyone else.
Maintaining cross-platform cryptographic library is a journey full of unexpected bugs, language-specific hacks, difficult decisions and endless struggle to make developer-facing APIs easy-to-use and hard-to-misuse.
The real case about Bear note taking the app that decided to implement convenient note encryption and note locking for their existing user base.