4 papers
Now You (Still) See Me: Detecting Evasive Steganographic Payloads in LLMs
Charles Westphal, Timothy Douglas, Keivan Navaie +2
Large language models can be fine-tuned to encode prompt-borne secrets into fluent, seemingly benign outputs. This creates a steganographic exfiltration risk that is difficult to d…
Images Amplify Misinformation Sharing in Vision-Language Models
Alice Plebe, Timothy Douglas, Diana Riazi +1
As language and vision-language models (VLMs) become central to information access and online interaction, concerns grow about their potential to amplify misinformation. Human stud…
LLM-based uncertainty assessment of social media situational signals for crisis reporting
Timothy Douglas, Roben Delos Reyes, Asanobu Kitamoto
Social media has become a critical source of situational awareness during disasters, providing real-time insights into evolving impacts and emerging needs. To support crisis respon…
Design and evaluation of an agentic workflow for crisis-related synthetic tweet datasets
Roben Delos Reyes, Timothy Douglas, Asanobu Kitamoto
Twitter (now X) has become an important source of social media data for situational awareness during crises. Crisis informatics research has widely used tweets from Twitter to deve…