馃敩 Research Summary by Lin Kyi, a Computer Science Ph.D. student at the Max Planck Institute for Security and Privacy focusing on online consent and the ethical collection of data. [Original paper by Abraham … [Read more...] about “It doesn’t tell me anything about how my data is used”: User Perceptions of Data Collection Purposes
Research Summaries
How Prevalent is Gender Bias in ChatGPT? – Exploring German and English ChatGPT Responses
馃敩 Research Summary by Stefanie Urchs, a Computer Science Ph.D. student at the Hochschule M眉nchen University of Applied Sciences, deeply interested in interdisciplinary approaches to natural language … [Read more...] about How Prevalent is Gender Bias in ChatGPT? – Exploring German and English ChatGPT Responses
Can Large Language Models Provide Security & Privacy Advice? Measuring the Ability of LLMs to Refute Misconceptions
馃敩 Research Summary by聽Arjun Arunasalam, a 4th-year Computer Science Ph.D. student at Purdue University researching security, privacy, and trust on online platforms from a human-centered lens. [Original paper by … [Read more...] about Can Large Language Models Provide Security & Privacy Advice? Measuring the Ability of LLMs to Refute Misconceptions
LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI’s ChatGPT Plugins
馃敩 Research Summary by Umar Iqbal, an Assistant professor at Washington University in St. Louis, researching computer security and privacy. [Original paper by Umar Iqbal (Washington University in St. Louis), … [Read more...] about LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI’s ChatGPT Plugins
Towards an Understanding of Developers’ Perceptions of Transparency in Software Development: A Preliminary Study
馃敩 Research Summary by Humphrey O. Obie, an Adjunct Research Fellow with the HumaniSE Lab at Monash University; his research is at the intersection of human values and software and AI systems. [Original paper by … [Read more...] about Towards an Understanding of Developers’ Perceptions of Transparency in Software Development: A Preliminary Study