- Personalized Privacy Assistant Project🔍
- Balancing Personalization And Data Protection In The Age Of Privacy🔍
- Learning Personalized Privacy Preference from Public Data🔍
- Personalized Privacy Auditing and Optimization at Test Time🔍
- The New Age of Personalized Customer Experience and Privacy🔍
- Personalized Privacy|Preserving Federated Learning🔍
- Personalized privacy preservation🔍
- Three Ways Marketers Can Balance Personalization And Data Privacy🔍
Personalized privacy
Personalized Privacy Assistant Project
We envision personalized privacy assistants as intelligent agents capable of learning the privacy preferences of their users over time, semi-automatically ...
Balancing Personalization And Data Protection In The Age Of Privacy
Find the balance between personalization and privacy by being transparent, obtaining informed consent, minimizing data collection, using anonymized and ...
Learning Personalized Privacy Preference from Public Data
In this study, we propose a novel framework to predict personalized privacy preference by leveraging a ubiquitous source of public data—social ...
Personalized Privacy Auditing and Optimization at Test Time - arXiv
Title:Personalized Privacy Auditing and Optimization at Test Time ... Abstract:A number of learning models used in consequential domains, such as ...
The New Age of Personalized Customer Experience and Privacy
As businesses customize their offerings using data, customers are becoming more concerned about the management and security of their ...
Personalized Privacy-Preserving Federated Learning - IEEE Xplore
Personalized Privacy-Preserving Federated Learning: Optimized Trade-off Between Utility and Privacy. Abstract: The emerging federated learning (FL) offers a ...
Personalized privacy preservation | Proceedings of the 2006 ACM ...
Abstract. We study generalization for preserving privacy in publication of sensitive data. The existing methods focus on a universal approach that exerts the ...
Three Ways Marketers Can Balance Personalization And Data Privacy
2. Empower Customers To Manage Their Own Data. Another way to balance concerns for data privacy with customer expectations for personalization ...
Learning Personalized Privacy Preference from Public Data
Firms and policymakers have recognized the importance of understanding consumers' personalized privacy preferences and have made it a top priority to ensure ...
Personalized Privacy Protection in Social Networks
Thus, assuming the attacks with the same background knowledge does not meet the personalized privacy requirements, meanwhile, it looses the chance to achieve ...
Personalized Privacy Preservation - SpringerLink
Unlike conventional methods that exert the same amount of privacy control over all the tuples in the microdata, personalized privacy preservation applies ...
Consumer-data privacy and personalization at scale: How leading ...
Customer concerns about the security and privacy of their online data can impede personalized marketing at scale.
Learning Personalized Privacy Preference From Public Data
Learning personalized consumers' privacy preferences is crucial for firms and policymakers to establish trust and compliance and guides ...
Personalized privacy protection in social networks
Abstract. Due to the popularity of social networks, many proposals have been proposed to protect the privacy of the networks. All these works assume that the ...
Personalized Privacy Preservation in Consumer Mobile Trajectories
A personalized and flexible framework that quantifies personalized privacy risks, performs personalized data obfuscation, and flexibly accommodates a variety ...
Personalized Privacy Assistants for the Internet of Things
Personalized Privacy Assistants for the IoT. A PPA is a smartphone app that helps users discover IoT resources and services available in their vicinity. It ...
Personalized privacy: Customizing your Facebook settings
This publication provides detailed instructions for using the various Facebook privacy management tools—both basic and advanced. Personalized ...
Personalized Privacy-Preserving Framework for Cross-Silo ... - arXiv
Title:Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning ... Abstract:Federated learning (FL) is recently surging as a ...
A Personalized Privacy Preserving Method for Publishing Social ...
One of the most important concerns in publishing social network data for social science research and business analysis is to balance between the ...
Conservative or Liberal? Personalized Differential Privacy - DIMACS
We propose a new privacy definition called personalized differential privacy (PDP), a generalization of differential privacy in which users specify a personal ...