Accepted papers for PETS 2018 Issue 1 Efficient Dynamic Searchable Encryption with Forward Privacy Mohammad Etemad (University of Virginia), Alptekin Küpçü (Koç .
Mobility data privacy vs. utility Information sharing for data-driven customization and large-scale analytics •context-awareness •transportation management, health studies, urban development Utility.
Power to peep-all: Inference Attacks by Malicious Batteries on Mobile Devices Pavel Lifshits, Roni Forte , Yedid Hoshen, Matt Halpern, Manuel Philipose, Mohit Tiwari, and Mark Silberstein
Deep learning is the machine learning (ML) technology of choice for analyzing personal photos, communications, loca-tion trajectories, health-care records, transactions, etc.
and from performance issues. To address these issues, Hayes and Danezis proposed the use ofguard sets, in which the Tor system groups all guards into sets, and each .
