I'm interested in ownership, confidentiality and privacy in machine learning systems. I've been working on projects related to model extraction attacks and defenses, ownership verification, membership inference, differential privacy, federated learning, and model evasion. Check out my Google Scholar page for more info.

List of publications

Vasisht Duddu, Sebastian Szyller and N. Asokan
IEEE S&P 2024 (Distinguished Paper Award)
Mansi Phute, Alec Helbling, Matthew Hull, ShengYun Peng, Sebastian Szyller, Cory Cornelius and Duen Horng Chau
ICLR 2024, Tiny Papers
Rui Zhang, Jian Liu, Sebastian Szyller, Kui Ren and N. Asokan
USENIX 2024
Sebastian Szyller, Rui Zhang, Jian Liu and N. Asokan
TMLR 2023
Vasisht Duddu, Sebastian Szyller and N. Asokan
Technical Report
Sebastian Szyller, Vasisht Duddu, Tommi Gröndahl and N. Asokan
Technical Report
Sebastian Szyller, Buse Atli, Samuel Marchal and N. Asokan
ACM MM 2021
Buse Atli, Sebastian Szyller, Mika Juuti, Samuel Marchal and N. Asokan
AAAI 2020, EDSMLS
Mika Juuti, Sebastian Szyller, Samuel Marchal and N. Asokan
IEEE EuroS&P 2019

Dissertations

Doctor of Science (Finnish AI Society Best Dissertation Award & Aalto University Best Dissertation Award)
Supervisor: N. Asokan
Decryption of Feistel Network Based Algorithms Using Machine Learning
Bachelor of Science, Eng.
Supervisor: Laurent Babout