Potential for discrimination in online targeted advertising
Recently, online targeted advertising platforms like Facebook have been criticized for
allowing advertisers to discriminate against users belonging to sensitive groups, ie, to …
allowing advertisers to discriminate against users belonging to sensitive groups, ie, to …
A survey on privacy in social media: Identification, mitigation, and applications
The increasing popularity of social media has attracted a huge number of people to
participate in numerous activities on a daily basis. This results in tremendous amounts of …
participate in numerous activities on a daily basis. This results in tremendous amounts of …
Attribute inference attacks in online social networks
We propose new privacy attacks to infer attributes (eg, locations, occupations, and interests)
of online social network users. Our attacks leverage seemingly innocent user information …
of online social network users. Our attacks leverage seemingly innocent user information …
You are who you know and how you behave: Attribute inference attacks via users' social friends and behaviors
We propose new privacy attacks to infer attributes (eg, locations, occupations, and interests)
of online social network users. Our attacks leverage seemingly innocent user information …
of online social network users. Our attacks leverage seemingly innocent user information …
Privacy risks with Facebook's PII-based targeting: Auditing a data broker's advertising interface
Sites like Facebook and Google now serve as de facto data brokers, aggregating data on
users for the purpose of implementing powerful advertising platforms. Historically, these …
users for the purpose of implementing powerful advertising platforms. Historically, these …
Privacy preserving large language models: Chatgpt case study based vision and framework
Abstract The generative Artificial Intelligence (AI) tools based on Large Language Models
(LLMs) use billions of parameters to extensively analyse large datasets and extract critical …
(LLMs) use billions of parameters to extensively analyse large datasets and extract critical …
Attriinfer: Inferring user attributes in online social networks using markov random fields
In the attribute inference problem, we aim to infer users' private attributes (eg, locations,
sexual orientation, and interests) using their public data in online social networks. State-of …
sexual orientation, and interests) using their public data in online social networks. State-of …
Faces of radicalism: Differentiating between violent and non-violent radicals by their social media profiles
Objectives Social media platforms such as Facebook are used by both radicals and the
security services that keep them under surveillance. However, only a small percentage of …
security services that keep them under surveillance. However, only a small percentage of …
Privacy in social media: Identification, mitigation and applications
The increasing popularity of social media has attracted a huge number of people to
participate in numerous activities on a daily basis. This results in tremendous amounts of …
participate in numerous activities on a daily basis. This results in tremendous amounts of …
Auditing offline data brokers via facebook's advertising platform
Data brokers such as Acxiom and Experian are in the business of collecting and selling data
on people; the data they sell is commonly used to feed marketing as well as political …
on people; the data they sell is commonly used to feed marketing as well as political …