13 citations · 14 across the 3 of their papers we have counts for
3 papers
Implicit Values Embedded in How Humans and LLMs Complete Subjective Everyday Tasks
Arjun Arunasalam, Madison Pickering, Z. Berkay Celik +1
Large language models (LLMs) can underpin AI assistants that help users with everyday tasks, such as by making recommendations or performing basic computation. Despite AI assistant…
Understanding Users' Security and Privacy Concerns and Attitudes Towards Conversational AI Platforms
Mutahar Ali, Arjun Arunasalam, Habiba Farrukh
The widespread adoption of conversational AI platforms has introduced new security and privacy risks. While these risks and their mitigation strategies have been extensively resear…
Can Large Language Models Provide Security & Privacy Advice? Measuring the Ability of LLMs to Refute Misconceptions
Yufan Chen, Arjun Arunasalam, Z. Berkay Celik
Users seek security & privacy (S&P) advice from online resources, including trusted websites and content-sharing platforms. These resources help users understand S&P technologies a…