Applications of machine learning in cryptography

2019/01/19 by Mohammed M. Alani
Computer Science · Mathematics · #Artificial intelligence #Computer science #Computer security #Cryptanalysis #Cryptography #Cryptography and Data Security #Encryption #Field (mathematics) #Internet Traffic Analysis and Secure E-voting #Machine learning #Mathematics #Neural cryptography #Privacy-Preserving Technologies in Data #Public-key cryptography #Unsupervised learning #cs.CR

paper · pdf · doi:10.1145/3309074.3309092

openalex publication_date 2019/01/19 · arxiv created 2019/02/11 · arxiv updated 2019/02/13 · openalex created_date 2019/02/21 · openalex updated_date 2026/08/05

Abstract

Machine learning techniques have had a long list of applications in recent years. However, the use of machine learning in information and network security is not new. Machine learning and cryptography have many things in common. The most apparent is the processing of large amounts of data and large search spaces.

Citations

• A review of homomorphic encryption and software tools for encrypted statistical machine learning
• Mutual learning in a tree parity machine and its application to cryptography
• The security of machine learning
• Demonstration of quantum advantage in machine learning
• Evasion Attacks against Machine Learning at Test Time
• The Algorithmic Foundations of Differential Privacy
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