2 papers
cs.CL2026
The Conundrum of Trustworthy Research on Attacking Personally Identifiable Information Removal Techniques
Sebastian Ochs, Ivan Habernal
Removing personally identifiable information (PII) from texts is necessary to comply with various data protection regulations and to enable data sharing without compromising privac…
cs.CL2024
Private Synthetic Text Generation with Diffusion Models
Sebastian Ochs, Ivan Habernal
How capable are diffusion models of generating synthetics texts? Recent research shows their strengths, with performance reaching that of auto-regressive LLMs. But are they also go…