most citedVerifiable Access Control for Augmented Reality Localization and Mapping

2 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CR20222 cited

Verifiable Access Control for Augmented Reality Localization and Mapping

Shaowei Zhu, Hyo Jin Kim, Maurizio Monge +4

Localization and mapping is a key technology for bridging the virtual and physical worlds in augmented reality (AR). Localization and mapping works by creating and querying maps ma…

cs.CR2022

Homomorphically Encrypted Computation using Stochastic Encodings

Hsuan Hsiao, Vincent Lee, Brandon Reagen +1

Homomorphic encryption (HE) is a privacy-preserving technique that enables computation directly over ciphertext. Unfortunately, a key challenge for HE is that implementations can b…

cs.CV2021

Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors

Deeksha Dangwal, Vincent T. Lee, Hyo Jin Kim +9

As autonomous driving and augmented reality evolve, a practical concern is data privacy. In particular, these applications rely on localization based on user images. The widely ado…

cs.CR2021

SoK: Opportunities for Software-Hardware-Security Codesign for Next Generation Secure Computing

Deeksha Dangwal, Meghan Cowan, Armin Alaghi +3

Users are demanding increased data security. As a result, security is rapidly becoming a first-order design constraint in next generation computing systems. Researchers and practit…

cs.CR2021

Porcupine: A Synthesizing Compiler for Vectorized Homomorphic Encryption

Meghan Cowan, Deeksha Dangwal, Armin Alaghi +3

Homomorphic encryption (HE) is a privacy-preserving technique that enables computation directly on encrypted data. Despite its promise, HE has seen limited use due to performance o…