Deep Learning for Automatic Detection of Qualitative Features of Lecturing. - Anna Wróblewska; Jozef Jasek; Bogdan Jastrzebski; Stanislaw Pawlak; Anna Grzywacz; Siew Ann Cheong; Seng Chee Tan; Tomasz Trzcinski; Janusz A. Holyst (AIED (1), 2022)

Progressive Latent Replay for Efficient Generative Rehearsal. - Stanislaw Pawlak; Filip Szatkowski; Michal Bortkiewicz; Jan Dubinski; Tomasz Trzcinski (ICONIP (4), 2022)

A Deep Learning Approach for Automatic Detection of Qualitative Features of Lecturing. - Anna Wróblewska; Jozef Jasek; Bogdan Jastrzebski; Stanislaw Pawlak; Anna Grzywacz; Siew Ann Cheong; Tan Seng Chee; Tomasz Trzcinski; Janusz A. Holyst (CoRR, 2022)

Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders. - Jan Dubinski; Stanislaw Pawlak; Franziska Boenisch; Tomasz Trzcinski; Adam Dziedzic (NeurIPS, 2023)

Towards More Realistic Membership Inference Attacks on Large Diffusion Models. - Jan Dubinski; Antoni Kowalczuk; Stanislaw Pawlak; Przemyslaw Rokita; Tomasz Trzcinski; Pawel Morawiecki (WACV, 2024)

Addressing The Devastating Effects Of Single-Task Data Poisoning In Exemplar-Free Continual Learning. - Stanislaw Pawlak; Bartlomiej Twardowski; Tomasz Trzcinski; Joost van de Weijer 001 (CoRR, 2025)