Cryptanalytic extraction of neural network models

DOI10.1007/978-3-030-56877-1_7OpenAlexW3081488247MaRDI QIDQ2102063

Ilya Mironov, Matthew Jagielski, Nicholas Carlini

Publication date: 7 December 2022

Full work available at URL: https://arxiv.org/abs/2003.04884

Mathematics Subject Classification ID

Cryptography (94A60) Artificial intelligence (68Txx)

Related Items (2)

Parameter identifiability of a deep feedforward ReLU neural network ⋮ An embedding of ReLU networks and an analysis of their identifiability

Uses Software

• JAX

Cites Work

• Differential cryptanalysis of DES-like cryptosystems
• Reluplex: an efficient SMT solver for verifying deep neural networks
• On the Learnability of Random Deep Networks
• Fully homomorphic encryption using ideal lattices

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