Location privacy protection for UAVs in package delivery and IoT data collection

S Enayati, D Goeckel, A Houmansadr… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are well known for violating citizen's privacy either
inadvertently or deliberately. However, UAVs could be victims of privacy violations …

Optimal Obfuscation to Protect Client Privacy in Federated Learning

B Guan, S Wei, A Houmansadr… - 2024 58th Annual …, 2024 - ieeexplore.ieee.org
Distributed data processing by clients with reports to a central server is an important
component of contemporary discovery systems, eg, federated learning. Although such client …

Constrained Obfuscation to Thwart Pattern Matching Attacks

S Enayati, DL Goeckel, A Houmansadr… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Recently, we have proposed a model-free privacy-preserving mechanism (PPM) against
attacks that compromise user privacy by matching patterns in data sequences to those that …

Improving unlinkability in C-ITS: a methodology for optimal obfuscation

Y Zolotavkin, Y Baryshev, V Lukichov, J Mähn… - arxiv preprint arxiv …, 2023 - arxiv.org
In this paper, we develop a new methodology to provide high assurance about privacy in
Cooperative Intelligent Transport Systems (C-ITS). Our focus lies on vehicle-to-everything …

[PDF][PDF] Mobile Intelligent Agents: Interplay of Communications, Privacy, and Decision Making

S Enayati - 2023 - scholarworks.umass.edu
The growth of more advanced and affordable microcontrollers and processors, low-cost
computing power, more efficient and lightweight batteries, and the advent of artificial …