Search Results for author:
Found 5 papers, 2 papers with code
Query Processing at Snapchat: How we Handle Query Completion, Suggestion and Localization
From the Publisher:Software is a commodity being sold across diverse language and cultural groups, whether in the commercial marketplace, or as customized applications.
Fuzzy Substring Matching: On-device Fuzzy Friend Search at Snapchat
About 50% of all queries on Snapchat app are targeted at finding the right friend to interact with.
Differentially-Private "Draw and Discard" Machine Learning
In this work, we propose a novel framework for privacy-preserving client-distributed machine learning.
Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries
Techniques based on randomized response enable the collection of potentially sensitive data from clients in a privacy-preserving manner with strong local differential privacy guarantees.
Cryptography and Security
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
Randomized Aggregatable Privacy-Preserving Ordinal Response, or RAPPOR, is a technology for crowdsourcing statistics from end-user client software, anonymously, with strong privacy guarantees.
Cryptography and Security
