2 citations · 7 across the 10 of their papers we have counts for
3 papers · 1 filter
Time-Efficient Locally Relevant Geo-Location Privacy Protection
Chenxi Qiu, Ruiyao Liu, Primal Pappachan +2
Geo-obfuscation serves as a location privacy protection mechanism (LPPM), enabling mobile users to share obfuscated locations with servers, rather than their exact locations. This…
GenAIPABench: A Benchmark for Generative AI-based Privacy Assistants
Aamir Hamid, Hemanth Reddy Samidi, Tim Finin +2
Privacy policies of websites are often lengthy and intricate. Privacy assistants assist in simplifying policies and making them more accessible and user friendly. The emergence of…
User Customizable and Robust Geo-Indistinguishability for Location Privacy
Primal Pappachan, Chenxi Qiu, Anna Squicciarini +1
Location obfuscation functions generated by existing systems for ensuring location privacy are monolithic and do not allow users to customize their obfuscation range. This can lead…