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The dark patterns, deceptive interface designs manipulating user behaviors, have been extensively studied for their effects on human decision-making and autonomy. Yet, with the rising prominence of LLM-powered GUI agents that automate tasks…

The analysis of the behaviour of individuals and entities (UEBA) is an area of artificial intelligence that detects hostile actions (e.g. attacks, fraud, influence, poisoning) due to the unusual nature of observed events, by affixing to a…

Artificial Intelligence · Computer Science 2018-12-04 Jean-Philippe Fauvelle , Alexandre Dey , Sylvain Navers

In recent years, many countries have started enacting laws to safeguard privacy of personal data of their citizens collected and maintained by various enterprises through websites, mobile apps, and other means. It is imperative that the…

Cryptography and Security · Computer Science 2026-04-14 Ajay Dhakar , Arunesh Sinha , Shamik Sural

We need to rethink our approach to defend privacy on the internet. Currently, policymakers focus heavily on the idea of informed consent as a means to defend privacy. For instance, in many countries the law requires firms to obtain an…

Computers and Society · Computer Science 2025-12-08 Frederik Zuiderveen Borgesius

Web tracking by ad networks, social networks, and other third parties is privacy-invasive. To protect users' privacy an increasing number of countries are adopting new privacy laws. However, a major reason why their application on the web…

Cryptography and Security · Computer Science 2026-04-22 Harry Yu , Patton Yin , Sebastian Zimmeck

On January 1, 2020, California passed the California Consumer Privacy Act (CCPA) by more than 56% of voters intended to enhance privacy rights and consumer protection for residents of California, United States. Since then, more conditions…

Computers and Society · Computer Science 2022-09-13 Trong Nguyen

This article provides a quantitative analysis of privacy-compromising mechanisms on 1 million popular websites. Findings indicate that nearly 9 in 10 websites leak user data to parties of which the user is likely unaware; more than 6 in 10…

Cryptography and Security · Computer Science 2015-11-03 Timothy Libert

Browser fingerprinting is a relatively new method of uniquely identifying browsers that can be used to track web users. In some ways it is more privacy-threatening than tracking via cookies, as users have no direct control over it. A number…

Cryptography and Security · Computer Science 2019-05-24 Nasser Mohammed Al-Fannah , Wanpeng Li , Chris J Mitchell

The content moderation systems used by social media sites are a topic of widespread interest and research, but less is known about the use of similar systems by web search engines. For example, Google Search attempts to help its users…

Social and Information Networks · Computer Science 2025-02-26 Ronald E. Robertson , Evan M. Williams , Kathleen M. Carley , David Thiel

Deceptive/Manipulative Patterns (DMP) are interface designs, also known as ``dark patterns,'' that manipulate user behavior. While considerable attention has been paid to their ethical and legal implications, empirical evidence about their…

Human-Computer Interaction · Computer Science 2026-04-20 Brennan Schaffner , Luis Heysen , Marshini Chetty

Dark patterns in user interfaces represent deceptive design practices intended to manipulate users' behavior, often leading to unintended consequences such as coerced purchases, involuntary data disclosures, or user frustration. Detecting…

Human-Computer Interaction · Computer Science 2024-12-20 Aliyu Umar , Maaruf Lawan , Adamu Lawan , Abdullahi Abdulkadir , Mukhtar Dahiru

Web browsers, particularly Google Chrome and other Chromium-based browsers, have grown in popularity over the past decade, with browser extensions becoming an integral part of their ecosystem. These extensions can customize and enhance the…

Cryptography and Security · Computer Science 2024-08-27 José Miguel Moreno , Narseo Vallina-Rodriguez , Juan Tapiador

Free and open source software has gained a lot of momentum in the industry and the research community. The latest advances in privacy legislation, including the EU General Data Protection Regulation (GDPR) and the California Consumer…

Software Engineering · Computer Science 2025-12-12 Georgia M. Kapitsaki , Maria Papoutsoglou

We need to rethink our approach to defend privacy on the internet. Currently, policymakers focus heavily on the idea of informed consent as a means to defend privacy. For instance, in many countries the law requires firms to obtain an…

Computers and Society · Computer Science 2025-12-08 Frederik Zuiderveen Borgesius

With the increasing concerns around privacy and the enforcement of data privacy laws, many websites now provide users with privacy controls. However, locating these controls can be challenging, as they are frequently hidden within multiple…

Cryptography and Security · Computer Science 2025-07-17 Rahat Masood , Sunday Oyinlola Ogundoyin , Muhammad Ikram , Alex Ye

As third-party cookies are being phased out or restricted by major browsers, first-party cookies are increasingly repurposed for tracking. Prior work has shown that third-party scripts embedded in the main frame can access and exfiltrate…

Cryptography and Security · Computer Science 2025-10-02 Pouneh Nikkhah Bahrami , Aurore Fass , Zubair Shafiq

Privacy policies are intended to support informed consent, yet users rarely read them fully. This study examines how common privacy policy interface structures influence attention allocation, reading behavior, and perceived experience.…

Human-Computer Interaction · Computer Science 2026-03-17 Wei Xiao , Mengke Wu , Yeeun Jo

Third-party web tracking is a common, and broadly used technique on the Web. Almost every step of users' is tracked, analyzed, and later used in different use cases (e.g., online advertisement). Different defense mechanisms have emerged to…

Cryptography and Security · Computer Science 2022-02-11 Nurullah Demir , Daniel Theis , Tobias Urban , Norbert Pohlmann

Autoencoder-based anomaly detection methods have been used in identifying anomalous users from large-scale enterprise logs with the assumption that adversarial activities do not follow past habitual patterns. Most existing approaches…

Machine Learning · Computer Science 2020-12-29 Lun-Pin Yuan , Euijin Choo , Ting Yu , Issa Khalil , Sencun Zhu
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