When machine learning meets privacy: A survey and outlook

B Liu, M Ding, S Shaham, W Rahayu… - ACM Computing …, 2021 - dl.acm.org
The newly emerged machine learning (eg, deep learning) methods have become a strong
driving force to revolutionize a wide range of industries, such as smart healthcare, financial …

Privacy preservation in location-based services: A novel metric and attack model

S Shaham, M Ding, B Liu, S Dang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Recent years have seen rising needs for location-based services in our everyday life. Aside
from the many advantages provided by these services, they have caused serious concerns …

Machine learning-based online social network privacy preservation

T Gao, F Li - Proceedings of the 2022 ACM on Asia Conference on …, 2022 - dl.acm.org
Online data privacy draws more and more concerns. Online Social Network (OSN) service
providers employ anonymization mechanisms to preserve private information and data …

[图书][B] Cyber Security and Operations Management for Industry 4.0

AA Elngar, N Thillaiarasu, M Elhoseny, KM Sagayam - 2022 - books.google.com
This book seamlessly connects the topics of Industry 4.0 and cyber security. It discusses the
risks and solutions of using cyber security techniques for Industry 4.0. Cyber Security and …

Efficient Deep Learning Techniques for Security and Privacy in Industry

MS Koti, V Muthukumaran, A Devi… - Cyber Security and …, 2022 - api.taylorfrancis.com
Using Internet services for both personnel and industry needs is unavoidable in the modern
era as these services have transformed the world into a “global village.” To offer and ensure …

[PDF][PDF] Location Privacy in the Era of Big Data and Machine Learning

S Shaham - 2019 - core.ac.uk
Location data of individuals is one of the most sensitive sources of information that once
revealed to ill-intended individuals or service providers, can cause severe privacy concerns …

Location privacy in mobile social network applications

B Liu, W Zhou, T Zhu, Y Xiang, K Wang, B Liu… - Location Privacy in …, 2018 - Springer
Location privacy has drawn much attention among mobile social network users, as the geo-
location information can be used by the adversaries to launch localization attacks which …