What Is Adversarial Neural Cryptography? - AI Summary

In the context of AI, homomorphic encryption could enable data scientists to perform operations on encrypted data that will yield the same results as if they were operating on clear data. Somewhere between anonymization methods and homomorphic encryption, we find a novel technique pioneered by Google that uses adversarial neural networks to protect information from other neural models. While that's true, it turns out that neural networks can learn to protect the confidentiality of their data from other neural networks: they discover forms of encryption and decryption, without being taught specific algorithms for these purposes. Alice and Bob have an advantage over Eve: they share a secret key K. That secret Key[K] is used as an additional input to Alice and Bob.