3 citations · 11 across the 9 of their papers we have counts for
3 papers · 1 filter
A Utility-Preserving Obfuscation Approach for YouTube Recommendations
Jiang Zhang, Hadi Askari, Konstantinos Psounis +1
Online content platforms optimize engagement by providing personalized recommendations to their users. These recommendation systems track and profile users to predict relevant cont…
How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?
Ahmed Roushdy Elkordy, Jiang Zhang, Yahya H. Ezzeldin +2
Federated learning (FL) has attracted growing interest for enabling privacy-preserving machine learning on data stored at multiple users while avoiding moving the data off-device.…
Privacy-Utility Trades in Crowdsourced Signal Map Obfuscation
Jiang Zhang, Lillian Clark, Matthew Clark +2
Cellular providers and data aggregating companies crowdsource celluar signal strength measurements from user devices to generate signal maps, which can be used to improve network p…