3 papers
cs.CV2026
SpinDoctor: Finding Innocuous Prompts for Biased Image Generation
Anna Gerchanovsky, Omer Akgul, Lujo Bauer +1
We introduce SpinDoctor, a method for discovering innocuous prompts for text-to-image models that result in images with a chosen target bias, while retaining the quality of the ima…
cs.CR2026
MindReader: Using LLMs to Encourage Memorable and Secure Password Replacement
Anna Gerchanovsky, Lujo Bauer, Michael K. Reiter
We report on the design and evaluation of MindReader, a tool that helps a user replace her password when she is required to do so. Left to their own devices, users tend to replace…
cs.CR2024
LLM Whisperer: An Inconspicuous Attack to Bias LLM Responses
Weiran Lin, Anna Gerchanovsky, Omer Akgul +3
Writing effective prompts for large language models (LLM) can be unintuitive and burdensome. In response, services that optimize or suggest prompts have emerged. While such service…