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This study explores the prevalence of dark patterns in mobile games that exploit players through temporal, monetary, social, and psychological means. Recognizing the ethical concerns and potential harm surrounding these manipulative…

Human-Computer Interaction · Computer Science 2024-12-09 Sam Niknejad , Thomas Mildner , Nima Zargham , Susanne Putze , Rainer Malaka

Dark patterns are deceptive user interface designs for online services that make users behave in unintended ways. Dark patterns, such as privacy invasion, financial loss, and emotional distress, can harm users. These issues have been the…

Human-Computer Interaction · Computer Science 2024-01-10 Yuki Yada , Tsuneo Matsumoto , Fuyuko Kido , Hayato Yamana

Pattern classification systems are commonly used in adversarial applications, like biometric authentication, network intrusion detection, and spam filtering, in which data can be purposely manipulated by humans to undermine their operation.…

Machine Learning · Computer Science 2017-09-05 Battista Biggio , Giorgio Fumera , Fabio Roli

Online services pervasively employ manipulative designs (i.e., dark patterns) to influence users to purchase goods and subscriptions, spend more time on-site, or mindlessly accept the harvesting of their personal data. To protect users from…

Human-Computer Interaction · Computer Science 2021-06-02 Kerstin Bongard-Blanchy , Arianna Rossi , Salvador Rivas , Sophie Doublet , Vincent Koenig , Gabriele Lenzini

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

Program obfuscation is a widely employed approach for software intellectual property protection. However, general obfuscation methods (e.g., lexical obfuscation, control obfuscation) implemented in mainstream obfuscation tools are heuristic…

Cryptography and Security · Computer Science 2017-10-04 Hui Xu , Yangfan Zhou , Yu Kang , Michael R. Lyu

Deceptive agents are a challenge for the safety, trustworthiness, and cooperation of AI systems. We focus on the problem that agents might deceive in order to achieve their goals (for instance, in our experiments with language models, the…

Artificial Intelligence · Computer Science 2023-12-05 Francis Rhys Ward , Francesco Belardinelli , Francesca Toni , Tom Everitt

We introduce deceptive signaling framework as a new defense measure against advanced adversaries in cyber-physical systems. In general, adversaries look for system-related information, e.g., the underlying state of the system, in order to…

Cryptography and Security · Computer Science 2019-02-05 Muhammed O. Sayin , Tamer Basar

Large Language Models have become an integral part of new intelligent and interactive writing assistants. Many are offered commercially with a chatbot-like UI, such as ChatGPT, and provide little information about their inner workings. This…

Human-Computer Interaction · Computer Science 2024-04-16 Karim Benharrak , Tim Zindulka , Daniel Buschek

Mobile gaming apps are woven into children's daily lives. Given their ongoing cognitive and emotional development, children are especially vulnerable and depend on designs that safeguard their well-being. When apps feature manipulative…

Over time, cryptographically deniable systems have come to be associated in computer-science literature with the idea of "denying" evidence in court - specifically, with the ability to convincingly forge evidence in courtroom scenarios and…

Cryptography and Security · Computer Science 2026-01-27 Jacob Leiken , Sunoo Park

This paper investigates deception in the context of motion using a simulated mobile robot. We analyze some previously designed deceptive strategies on a mobile robot simulator. We then present a novel approach to adaptively choose…

Human-Computer Interaction · Computer Science 2021-06-01 Ali Ayub , Aldo Morales , Amit Banerjee

Artificial intelligence-based systems for player risk detection have become central to harm prevention efforts in the gambling industry. However, growing concerns around transparency and effectiveness have highlighted the absence of…

Deceptive games are games where the reward structure or other aspects of the game are designed to lead the agent away from a globally optimal policy. While many games are already deceptive to some extent, we designed a series of games in…

Artificial Intelligence · Computer Science 2018-02-06 Damien Anderson , Matthew Stephenson , Julian Togelius , Christian Salge , John Levine , Jochen Renz

Over-sharing poorly-worded thoughts and personal information is prevalent on online social platforms. In many of these cases, users regret posting such content. To retrospectively rectify these errors in users' sharing decisions, most…

Social and Information Networks · Computer Science 2020-05-29 Mohsen Minaei , S Chandra Mouli , Mainack Mondal , Bruno Ribeiro , Aniket Kate

Lawmakers around the country are crafting new laws to target "dark patterns" -- user interface designs that trick or coerce users into enabling cell phone location tracking, sharing browsing data, initiating automatic billing, or making…

Computers and Society · Computer Science 2023-07-18 Gregory M. Dickinson

Cyber deception is one of the key approaches used to mislead attackers by hiding or providing inaccurate system information. There are two main factors limiting the real-world application of existing cyber deception approaches. The first…

Cryptography and Security · Computer Science 2020-08-14 Dayong Ye , Tianqing Zhu , Shen Sheng , Wanlei Zhou

The growing complexity and interconnectivity of Intelligent Transportation Systems (ITS) make them increasingly vulnerable to advanced cyber threats, particularly deceptive information attacks. These sophisticated threats exploit…

Computer Science and Game Theory · Computer Science 2024-12-09 Ya-Ting Yang , Quanyan Zhu

Dark patterns utilize interface elements to trick users into performing unwanted actions. Online shopping websites often employ these manipulative mechanisms so as to increase their potential customer base, to boost their sales, or to…

Human-Computer Interaction · Computer Science 2021-07-19 Christian Voigt , Stephan Schlögl , Aleksander Groth

Are frontier AI systems becoming more capable? Certainly. Yet such progress is not an unalloyed blessing but rather a Trojan horse: behind their performance leaps lie more insidious and destructive safety risks, namely deception. Unlike…

Artificial Intelligence · Computer Science 2026-05-28 Sitong Fang , Shiyi Hou , Kaile Wang , Boyuan Chen , Donghai Hong , Jiayi Zhou , Josef Dai , Yaodong Yang , Jiaming Ji