4 citations · 6 across the 16 of their papers we have counts for
19 papers
When Privacy Becomes a Weapon: Understanding Doxxing and Privacy Vulnerabilities in Mainland China's Social Media Ecosystem
Xiao Zhan, Shijing He, Chi Zhang +1
Doxxing, the malicious disclosure of personal information, has become a pervasive privacy threat. Yet existing research remains predominantly Western-centric, limiting our understa…
Security and Privacy in Agentic AI: Grand Challenges and Future Directions
Adam Jenkins, Agnieszka Kitkowska, Caterina Maidhof +22
We present key challenges and future research directions in the security and privacy of agentic AI, based on a horizon-scanning exercise that brought together thirty leading intern…
Beliefs and Misconceptions around Integrated Conversational AI
William Seymour, Adam Jenkins, Mark Cote +1
LLM-driven conversational AI is beginning to disappear into the background, shifting from something used directly towards something increasingly integrated into existing workflows.…
Unweighted ranking for value-based decision making with uncertainty
Aarón López García, Natalia Criado, Jose Such
As intelligent systems are increasingly implemented in our society to make autonomous decisions, their commitment to human values raises serious concerns. Their alignment with huma…
Privacy and Safety Experiences and Concerns of U.S. Women Using Generative AI for Seeking Sexual and Reproductive Health Information
Ina Kaleva, Xiao Zhan, Ruba Abu-Salma +1
The rapid adoption of generative AI (GenAI) chatbots has reshaped access to sexual and reproductive health (SRH) information, particularly following the overturning of Roe v. Wade,…
Scrollytelling as an Alternative Format for Privacy Policies
Gonzalo Gabriel Méndez, Jose Such
Privacy policies are long, complex, and rarely read, which limits their effectiveness in informed consent. We investigate scrollytelling, a scroll-driven narrative approach, as a p…
The Governance of Intimacy: A Preliminary Policy Analysis of Romantic AI Platforms
Xiao Zhan, Yifan Xu, Rongjun Ma +3
Romantic AI platforms invite intimate emotional disclosure, yet their data governance practices remain underexamined. This preliminary study analyses the Privacy Policies and Terms…
Privacy in Human-AI Romantic Relationships: Concerns, Boundaries, and Agency
Rongjun Ma, Shijing He, Jose Luis Martin-Navarro +2
An increasing number of LLM-based applications are being developed to facilitate romantic relationships with AI partners, yet the safety and privacy risks in these partnerships rem…
"Create an environment that protects women, rather than selling anxiety!": Participatory Threat Modeling with Chinese Young Women Living Alone
Shijing He, Chenkai Ma, Chi Zhang +3
As more young women in China live alone, they navigate entangled privacy, security, and safety (PSS) risks across smart homes, online platforms, and public infrastructures. Drawing…
Investigating Bystander Privacy in Chinese Smart Home Apps
Shijing He, Xuchen Wang, Yaxiong Lei +3
Bystander privacy in smart homes has been widely studied in Western contexts, yet it remains underexplored in non-Western countries such as China. In this study, we analyze 49 Chin…
"These cameras are just like the Eye of Sauron": A Sociotechnical Threat Model for AI-Driven Smart Home Devices as Perceived by UK-Based Domestic Workers
Shijing He, Yaxiong Lei, Xiao Zhan +2
The growing adoption of AI-driven smart home devices has introduced new privacy risks for domestic workers (DWs), who are frequently monitored in employers' homes while also using…
The Influence of Human-like Appearance on Expected Robot Explanations
Hana Kopecka, Jose Such
A robot's appearance is a known factor influencing user's mental model and human-robot interaction, that has not been studied in the context of its influence in expected robot expl…
Protecting Bystander Privacy via Selective Hearing in Audio LLMs
Xiao Zhan, Guangzhi Sun, Jose Such +1
Audio Large language models (LLMs) are increasingly deployed in the real world, where they inevitably capture speech from unintended nearby bystanders, raising privacy risks that e…
Malicious LLM-Based Conversational AI Makes Users Reveal Personal Information
Xiao Zhan, Juan Carlos Carrillo, William Seymour +1
LLM-based Conversational AIs (CAIs), also known as GenAI chatbots, like ChatGPT, are increasingly used across various domains, but they pose privacy risks, as users may disclose pe…
Privacy Perspectives and Practices of Chinese Smart Home Product Teams
Shijing He, Yaxiong Lei, Xiao Zhan +4
Previous research has explored the privacy needs and concerns of device owners, primary users, and different bystander groups with regard to smart home devices like security camera…
Exploring the Privacy and Security Challenges Faced by Migrant Domestic Workers in Chinese Smart Homes
Shijing He, Xiao Zhan, Yaxiong Lei +3
The growing use of smart home devices poses considerable privacy and security challenges, especially for individuals like migrant domestic workers (MDWs) who may be surveilled by t…
CASE-Bench: Context-Aware SafEty Benchmark for Large Language Models
Guangzhi Sun, Xiao Zhan, Shutong Feng +2
Aligning large language models (LLMs) with human values is essential for their safe deployment and widespread adoption. Current LLM safety benchmarks often focus solely on the refu…
Building Better AI Agents: A Provocation on the Utilisation of Persona in LLM-based Conversational Agents
Guangzhi Sun, Xiao Zhan, Jose Such
The incorporation of Large Language Models (LLMs) such as the GPT series into diverse sectors including healthcare, education, and finance marks a significant evolution in the fiel…
Moral Uncertainty and the Problem of Fanaticism
Jazon Szabo, Jose Such, Natalia Criado +1
While there is universal agreement that agents ought to act ethically, there is no agreement as to what constitutes ethical behaviour. To address this problem, recent philosophical…