Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Yus, Roberto"'
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 generative AI (genAI) offers new opportunities to build privacy assist
Externí odkaz:
http://arxiv.org/abs/2309.05138
As the adoption of smart devices continues to permeate all aspects of our lives, user privacy concerns have become more pertinent than ever. Privacy policies outline the data handling practices of these devices. Prior work in the domains of websites
Externí odkaz:
http://arxiv.org/abs/2308.05890
Autor:
Eren, Maksim E., Richards, Luke E., Bhattarai, Manish, Yus, Roberto, Nicholas, Charles, Alexandrov, Boian S.
Non-negative matrix factorization (NMF) with missing-value completion is a well-known effective Collaborative Filtering (CF) method used to provide personalized user recommendations. However, traditional CF relies on the privacy-invasive collection o
Externí odkaz:
http://arxiv.org/abs/2205.02359
Autor:
Lin, Yiming, Jiang, Daokun, Yus, Roberto, Bouloukakis, Georgios, Chio, Andrew, Mehrotra, Sharad, Venkatasubramanian, Nalini
This paper explores the data cleaning challenges that arise in using WiFi connectivity data to locate users to semantic indoor locations such as buildings, regions, rooms. WiFi connectivity data consists of sporadic connections between devices and ne
Externí odkaz:
http://arxiv.org/abs/2004.09676
Current approaches of enforcing FGAC in Database Management Systems (DBMS) do not scale in scenarios when the number of policies are in the order of thousands. This paper identifies such a use case in the context of emerging smart spaces wherein syst
Externí odkaz:
http://arxiv.org/abs/2004.07498
Autor:
Chio, Andrew, Jiang, Daokun, Gupta, Peeyush, Bouloukakis, Georgios, Yus, Roberto, Mehrotra, Sharad, Venkatasubramanian, Nalini
Publikováno v:
In Pervasive and Mobile Computing June 2023 93
Big data today in the form of text, images, video, and sensor data needs to be enriched (i.e., annotated with tags) prior to be effectively queried or analyzed. Data enrichment (that, depending upon the application could be compiled code, declarative
Externí odkaz:
http://arxiv.org/abs/1805.12033
Autor:
Kashyap, Abhay, Han, Lushan, Yus, Roberto, Sleeman, Jennifer, Satyapanich, Taneeya, Gandhi, Sunil, Finin, Tim
Publikováno v:
Language Resources and Evaluation, 2016 Jan 01. 50(1), 125-161.
Externí odkaz:
http://www.jstor.org/stable/24710042
Publikováno v:
In Web Semantics: Science, Services and Agents on the World Wide Web December 2015 35 Part 4:167-183
Publikováno v:
In Pervasive and Mobile Computing December 2014 15:87-99