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Title: Callisto: A Cryptographic Approach to Detecting Serial Perpetrators of Sexual Misconduct
Sexual misconduct is prevalent in workplace and education settings but stigma and risk of further damage deter many victims from seeking justice. Callisto, a non-profit that has created an online sexual assault reporting platform for college campuses, is expanding its work to combat sexual assault and harassment in other industries. In this new product, users will be invited to an online "matching escrow" that will detect repeat perpetrators and create pathways to support for victims. Users submit encrypted data about their perpetrator, and this data can only be decrypted by the Callisto Options Counselor (a lawyer), when another user enters the identity of the same perpetrator. If the perpetrator identities match, both users will be put in touch independently with the Options Counselor, who will connect them to each other (if appropriate) and help them determine their best path towards justice. The client relationships with the Options Counselors are structured so that any client-counselor communications would be privileged. A combination of client-side encryption, encrypted communication channels, oblivious pseudo-random functions, key federation, and Shamir Secret Sharing keep data confidential in transit, at rest, and during the matching process with the guarantee that only the lawyer ever has access to user submitted data, and even then only when a match is identified.  more » « less
Award ID(s):
1718135
NSF-PAR ID:
10061833
Author(s) / Creator(s):
; ; ; ; ;
Date Published:
Journal Name:
Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies
Page Range / eLocation ID:
49:1--49:4
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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