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The fact that internet companies may record our personal data and track our online behavior for commercial or political purpose has emphasized aspects related to online privacy. This has also led to the development of search engines that…

Most prominent research today addresses compliance with data protection laws through consumer-centric and public-regulatory approaches. We shift this perspective with the Privatech project to focus on corporations and law firms as agents of…

人工智能 · 计算机科学 2020-12-24 David Restrepo Amariles , Aurore Clément Troussel , Rajaa El Hamdani

The widespread adoption of continuously connected smartphones and tablets developed the usage of mobile applications, among which many use location to provide geolocated services. These services provide new prospects for users: getting…

密码学与安全 · 计算机科学 2018-10-09 Primault Vincent , Boutet Antoine , Ben Mokhtar Sonia , Brunie Lionel

This articles surveys the existing literature on the methods currently used by web services to track the user online as well as their purposes, implications, and possible user's defenses. A significant majority of reviewed articles and web…

计算机与社会 · 计算机科学 2015-07-29 Tomasz Bujlow , Valentín Carela-Español , Josep Solé-Pareta , Pere Barlet-Ros

Today, computer systems hold large amounts of personal data. Yet while such an abundance of data allows breakthroughs in artificial intelligence, and especially machine learning (ML), its existence can be a threat to user privacy, and it…

In today's highly connected society, we are constantly asked to provide personal information to retailers, voter surveys, medical professionals, and other data collection efforts. The collected data is stored in large data warehouses.…

密码学与安全 · 计算机科学 2023-07-14 Amen Faridoon , M. Tahar Kechadi

Great advances in computing and communication technology are bringing many benefits to society, with transformative changes and financial opportunities being created in health care, transportation, education, law enforcement, national…

计算机与社会 · 计算机科学 2016-04-13 Lorrie Cranor , Tal Rabin , Vitaly Shmatikov , Salil Vadhan , Daniel Weitzner

Large language models (LLMs) are complex artificial intelligence systems capable of understanding, generating and translating human language. They learn language patterns by analyzing large amounts of text data, allowing them to perform…

密码学与安全 · 计算机科学 2024-03-15 Biwei Yan , Kun Li , Minghui Xu , Yueyan Dong , Yue Zhang , Zhaochun Ren , Xiuzhen Cheng

Today's massive scale of data collection coupled with recent surges of consumer data leaks has led to increased attention towards data privacy and related risks. Conventional data privacy protection systems focus on reducing custodial risk…

密码学与安全 · 计算机科学 2021-01-11 Usmann Khan , Lun Wang , Jithendaraa Subramanian , Joseph P. Near , Dawn Song

Unstructured text from legal, medical, and administrative sources offers a rich but underutilized resource for research in public health and the social sciences. However, large-scale analysis is hampered by two key challenges: the presence…

计算与语言 · 计算机科学 2025-07-16 Anders Ledberg , Anna Thalén

Access to privacy-sensitive information on Android is a growing concern in the mobile community. Albeit Google Play recently introduced some privacy guidelines, it is still an open problem to soundly verify whether apps actually comply with…

密码学与安全 · 计算机科学 2021-12-13 Luca Verderame , Davide Caputo , Andrea Romdhana , Alessio Merlo

A large amount of data on the WWW remains inaccessible to crawlers of Web search engines because it can only be exposed on demand as users fill out and submit forms. The Hidden web refers to the collection of Web data which can be accessed…

信息检索 · 计算机科学 2014-07-23 Sonali Gupta , Komal Kumar Bhatia

The overturning of the Internet Privacy Rules by the Federal Communications Commissions (FCC) in late March 2017 allows Internet Service Providers (ISPs) to collect, share and sell their customers' Web browsing data without their consent.…

密码学与安全 · 计算机科学 2018-11-26 Ghazaleh Beigi , Ruocheng Guo , Alexander Nou , Yanchao Zhang , Huan Liu

Third-party tracking is common on almost all commercially operated websites. Prior work has studied in detail the extent of third-party tracking on the web, detection of third-party trackers, and defending against third-party tracking.…

计算机与社会 · 计算机科学 2019-11-18 Matius Chairani , Mathieu Chevalley , Abderrahmane Lazraq , Sruti Bhagavatula

Web archive analytics is the exploitation of publicly accessible web pages and their evolution for research purposes -- to the extent organizationally possible for researchers. In order to better understand the complexity of this task, the…

数字图书馆 · 计算机科学 2021-07-05 Michael Völske , Janek Bevendorff , Johannes Kiesel , Benno Stein , Maik Fröbe , Matthias Hagen , Martin Potthast

People are becoming increasingly concerned with their online privacy, especially with how advertising companies track them across websites (a practice called cross-site tracking), as reconstructing a user's browser history can reveal…

密码学与安全 · 计算机科学 2023-11-22 Alisha Ukani

Policymakers worldwide draft privacy laws that require trading-off between safeguarding consumer privacy and preventing economic loss to companies that use consumer data. However, little empirical knowledge exists as to how privacy laws…

综合经济学 · 经济学 2021-10-20 Julia Schmitt , Klaus M. Miller , Bernd Skiera

Online tracking is a widespread practice on the web with questionable ethics, security, and privacy concerns. While web tracking can offer personalized and curated content to Internet users, it operates as a sophisticated surveillance…

密码学与安全 · 计算机科学 2025-01-07 Seyed Ali Akhavani , Engin Kirda , Amin Kharraz

Today, targeted online advertising relies on unique identifiers assigned to users through third-party cookies--a practice at odds with user privacy. While the web and advertising communities have proposed solutions that we refer to as…

密码学与安全 · 计算机科学 2023-09-12 Yohan Beugin , Patrick McDaniel

This paper presents a novel application of large language models (LLMs) to enhance user comprehension of privacy policies through an interactive dialogue agent. We demonstrate that LLMs significantly outperform traditional models in tasks…

人机交互 · 计算机科学 2024-10-17 Bolun Sun , Yifan Zhou , Haiyun Jiang