## Cryptology ePrint Archive: Report 2019/637

Cryptographic Sensing

Yuval Ishai and Eyal Kushilevitz and Rafail Ostrovsky and Amit Sahai

Abstract: Is it possible to measure a physical object in a way that makes the measurement signals unintelligible to an external observer? Alternatively, can one learn a natural concept by using a contrived training set that makes the labeled examples useless without the line of thought that has led to their choice?

We initiate a study of cryptographic sensing'' problems of this type, presenting definitions, positive and negative results, and directions for further research.

Category / Keywords: Cryptography in the physical world, learning theory

Original Publication (in the same form): IACR-CRYPTO-2019