4 papers
Amplifying Membership Signal Through Chained Regeneration
Wojciech Åapacz, StanisÅaw Pawlak
The tendency of large generative models to memorize training data makes sample verification critical for privacy auditing and copyright enforcement. Current membership (MIA) and da…
Dataset Usage Inference without Shadow Models or Held-out Data
Wojciech Åapacz, StanisÅaw Pawlak, Jan DubiÅski +2
How much of my data was used to train a machine learning model? Dataset Usage Inference (DUI) aims to answer this by estimating what fraction of a dataset contributed to a model's…
TinyClick: Single-Turn Agent for Empowering GUI Automation
Pawel Pawlowski, Krystian Zawistowski, Wojciech Lapacz +4
We present an UI agent for user interface (UI) interaction tasks, using Vision-Language Model Florence-2-Base. The agent's primary task is identifying the screen coordinates of the…
Exploring the Stability Gap in Continual Learning: The Role of the Classification Head
Wojciech Åapacz, Daniel Marczak, Filip Szatkowski +1
Continual learning (CL) has emerged as a critical area in machine learning, enabling neural networks to learn from evolving data distributions while mitigating catastrophic forgett…