Zobrazeno 1 - 10
of 2 903
pro vyhledávání: '"Pawełczyk, A."'
Predictive machine learning models are becoming increasingly deployed in high-stakes contexts involving sensitive personal data; in these contexts, there is a trade-off between model explainability and data privacy. In this work, we push the boundari
Externí odkaz:
http://arxiv.org/abs/2407.17663
We revisit the efficacy of several practical methods for approximate machine unlearning developed for large-scale deep learning. In addition to complying with data deletion requests, one often-cited potential application for unlearning methods is to
Externí odkaz:
http://arxiv.org/abs/2406.17216
The streams of research on adversarial examples and counterfactual explanations have largely been growing independently. This has led to several recent works trying to elucidate their similarities and differences. Most prominently, it has been argued
Externí odkaz:
http://arxiv.org/abs/2403.10330
Machine unlearning, the study of efficiently removing the impact of specific training instances on a model, has garnered increased attention in recent years due to regulatory guidelines such as the \emph{Right to be Forgotten}. Achieving precise unle
Externí odkaz:
http://arxiv.org/abs/2310.07579
Staphylococcus aureus as dominant bacterial species in the cutaneous microbiome of prurigo nodularis
Autor:
Magdalena Żychowska, Klaudia Tutka, Anna Żaczek, Karolina Maternia-Dudzik, Jakub Pawełczyk, Dominik Strapagiel, Adam Reich
Publikováno v:
Przegląd Dermatologiczny, Vol 111, Iss 2, Pp 97-103 (2024)
Externí odkaz:
https://doaj.org/article/fd036f3df69c439498e8f1046b3993f9
Autor:
Pawelczyk, Jacek
We derive the low temperature thermodynamic equations corrected by virtual processes for integrable QFT on large but finite size space circle. Obtained TBA's are solved numerically for the sinh-Gordon model. We also derive corresponding Euler scale g
Externí odkaz:
http://arxiv.org/abs/2308.05010
We propose a novel and practical privacy notion called $f$-Membership Inference Privacy ($f$-MIP), which explicitly considers the capabilities of realistic adversaries under the membership inference attack threat model. Consequently, $f$-MIP offers i
Externí odkaz:
http://arxiv.org/abs/2306.07273
Publikováno v:
Journal of Pharmaceutical Analysis, Vol 14, Iss 9, Pp 100951- (2024)
In various industries, particularly in the chemical and pharmaceutical fields, Fourier transform infrared spectroscopy (FTIR) spectroscopy provides a unique capacity to detect and characterise complex chemicals while minimising environmental damage b
Externí odkaz:
https://doaj.org/article/302af615c31c48cbbd47f1756e735c41
Autor:
Dorota Olender, Jacek Kujawski, Bartosz Skóra, Ewa Baranowska-Wójcik, Katarzyna Sowa-Kasprzak, Anna Pawełczyk, Lucjusz Zaprutko, Dominik Szwajgier, Konrad A. Szychowski
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e37147- (2024)
In the area of research on neurodegenerative diseases, the current challenge is to search for appropriate research methods that would detect these diseases at the earliest possible stage, but also new active structures that would reduce the rate of t
Externí odkaz:
https://doaj.org/article/995f3b675c004e84a564ff285bc4a5f5
Autor:
Olender, Dorota1 (AUTHOR) apaw@ump.edu.pl, Pawełczyk, Anna1 (AUTHOR) kasik@ump.edu.pl, Leśków, Anna2 (AUTHOR) anna.leskow@umw.edu.pl, Sowa-Kasprzak, Katarzyna1 (AUTHOR) zaprutko@ump.edu.pl, Zaprutko, Lucjusz1 (AUTHOR), Diakowska, Dorota2 (AUTHOR) dorota.diakowska@umw.edu.pl
Publikováno v:
Molecules. Nov2024, Vol. 29 Issue 21, p5171. 15p.