Privacy-preserving multi-robot task allocation via secure multi-party computation

M Alsayegh, P Vanegas, AAR Newaz… - 2022 European …, 2022 - ieeexplore.ieee.org
Multi-robot task allocation is a practical way to identify synergies between robots. When all
the robots within a system fall under the auspices and authority of a single organization, they …

Multi-party computation review for secure data processing in IoT-fog computing environment

BK Mohanta, D Jena… - International Journal of …, 2020 - inderscienceonline.com
In the last decade internet of things (IoT) technology becomes useful in almost every
application fields. IoT-cloud-based architecture is insufficient to handle the requirement of …

CAPP: Context‐Aware Privacy‐Preserving Continuous Authentication in Smartphones

S Jacob, P Vinod, VG Menon - Security and Privacy, 2024 - Wiley Online Library
The pervasive use of smart devices in everyday life has increased the risk of theft and
cyberattacks, necessitating robust and continuous behavioral authentication techniques …

[图书][B] High Performance Privacy Preserving AI

J Shenoy, P Grinaway, S Palakodety - 2024 - nowpublishers.com
Artificial intelligence (AI) depends on data. In sensitive domains–such as healthcare,
security, finance, and many more–there is therefore a tension between unleashing the …

Oblivious Markov Decision Processes: Planning and Policy Execution

M Alsayegh, J Fuentes, L Bobadilla… - 2023 62nd IEEE …, 2023 - ieeexplore.ieee.org
We examine a novel setting in which two parties have partial knowledge of the elements that
make up a Markov Decision Process (MDP) and must cooperate to compute and execute an …

[PDF][PDF] GPS-based fall detection system for old and specially-abled people

MN Farhan, MG Ayoub, AR Al-Jader - Indonesian Journal of …, 2023 - academia.edu
Falls are a serious public health concern for older people across the world. Modern
telemedicine now depends heavily on remote monitoring of older patients and the ability to …

From Energy Consumption Data to User Profiling: Quantifying Privacy Exposure in Smart Homes

Y Shanmugarasa, H Paik, M Windl, S Feger, L Zhu - papers.ssrn.com
Smart home devices continually amass and share growing volumes of data to enhance
functionality and user convenience. However, this data sharing poses privacy risks …