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A row of gachapon machines in Tokyo. A customer chooses a vending machine displaying a type of toy they'd like, based on the machine's front menu. But they do not know which of several toys they will receive. Photo by Rebecca Copeland, ISR.

A row of gachapon machines in Tokyo. A customer chooses a vending machine displaying a type of toy they'd like, based on the machine's front menu. But they do not know which of several toys they will receive. Photo by Rebecca Copeland, ISR.

 

Gachapon is a capsule toy, widely popular in Japan and elsewhere, that is dispensed through a vending machine equipped with a roulette mechanism. The mechanism enhances the fun, since it makes receiving an item random and unpredictable for customers. Standing before a gachapon machine that shows a variety of possible toys, a customer has no idea which toy actually will be dispensed. Because gachapons are typically packaged in identical opaque 3-inch spheres, they are also called “blind boxes.” The covers of blind boxes are identical in every way—nobody, including the manufacturer, knows what exactly is inside until the customer opens the packaging.

The gachapon also has a digital form; the concept is being adapted as a random-type item for online games and 3D printing. Now Professor Sennur Ulukus (ECE/ISR) and her Ph.D. student Zhusheng Wang (ECE) are considering the gachapon’s usefulness for Random Symmetric Private Information Retrieval (RSPIR). Their new paper, Digital Blind Box: Random Symmetric Private Information Retrieval, introduces the idea.

In canonical Private Information Retrieval (PIR), a user downloads a message out of K messages from N non-colluding and replicated databases in such a way that no database can know which message the user has downloaded (user privacy). In Symmetric Private Information Retrieval (SPIR), the privacy is symmetric, in that, not only that the databases cannot know which message the user has downloaded, the user itself cannot learn anything further than the particular message it has downloaded (database privacy).

In RSPIR, different from SPIR, the user does not have an input to the databases. That is, the user does not send any queries to the databases. The user does not pick a speci?c message to download and instead is content with any one of the random messages received. In RSPIR, databases need to send symbols to the user in such a way that the user is guaranteed to download a message correctly (random reliability), the databases do not know which message the user has received (user privacy), and the user does not learn anything further than the one message it has received (database privacy).



Related Articles:
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Sennur Ulukus is plenary speaker at Canadian Workshop on Information Theory
Barg honored with 2024 IEEE Richard W. Hamming Medal
Barg is PI for new quantum LDPC codes NSF grant
Narayan receives NSF funding for shared information work
Forthcoming information-theoretic cryptography book co-written by alum Tyagi and former visitor Watanabe
New quantum framework yields generalizations of bosonic ‘cat codes’
Five Clark School authors part of new 'Age of Information' book
Alum Ahmed Arafa wins NSF CAREER Award
An information theoretic approach to improving group infection testing

June 24, 2022


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