Implementing Cryptography in AI Systems

This blog post summarizes a 2025 research paper that defines correctness and security for implementing cryptographic primitives as ReLU-based deep neural networks, demonstrates practical attacks that break natural DNN implementations of block ciphers (including full-round AES-128) using nonstandard inputs, and proposes a low-overhead, provably secure DNN construction to prevent such attacks.