Archives

A common pool of privacy problems: Legal and technical lessons from a large-scale web-scraped machine learning dataset

Understanding experiences with compulsory immigration surveillance in the U.S.

Characterizing the Default Persona During Design: Mental Representations of Technology Users are Gendered

Persona-Assigned Large Language Models Exhibit Human-Like Motivated Reasoning

Biases Propagate in Encoder-based Vision-Language Models: A Systematic Analysis From Intrinsic Measures to Zero-shot Retrieval Outcomes

Intrinsic Bias is Predicted by Pretraining Data and Correlates with Downstream Performance in Vision-Language Encoders

“You Have to Ignore the Dangers”: User Perceptions of the Security and Privacy Benefits of WhatsApp Mods

Unencrypted Flying Objects: Security Lessons from University Small Satellite Developers and Their Code

Talent or Luck? Evaluating Attribution Bias in Large Language Models

VIGNETTE: Socially Grounded Bias Evaluation for Vision-Language Models