Sebastian Szyller

According to our database, Sebastian Szyller authored at least 13 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Ownership and Confidentiality in Machine Learning.

Sebastian Szyller

PhD thesis, 2023

SoK: Unintended Interactions among Machine Learning Defenses and Risks.

Vasisht Duddu, Sebastian Szyller, N. Asokan

CoRR, 2023

False Claims against Model Ownership Resolution.

Jian Liu, Rui Zhang, Sebastian Szyller, Kui Ren, N. Asokan

CoRR, 2023

Conflicting Interactions among Protection Mechanisms for Machine Learning Models.

Sebastian Szyller, N. Asokan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

On the Robustness of Dataset Inference.

Sebastian Szyller, Rui Zhang, Jian Liu, N. Asokan

CoRR, 2022

Conflicting Interactions Among Protections Mechanisms for Machine Learning Models.

Sebastian Szyller, N. Asokan

CoRR, 2022

2021

SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning.

Vasisht Duddu, Sebastian Szyller, N. Asokan

CoRR, 2021

Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Generative Adversarial Networks.

Sebastian Szyller, Vasisht Duddu, Tommi Gröndahl, N. Asokan

CoRR, 2021

DAWN: Dynamic Adversarial Watermarking of Neural Networks.

Sebastian Szyller, Buse Gul Atli, Samuel Marchal, N. Asokan

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2019

Extraction of Complex DNN Models: Real Threat or Boogeyman?

Buse Gul Atli, Sebastian Szyller, Mika Juuti, Samuel Marchal, N. Asokan

CoRR, 2019

PRADA: Protecting Against DNN Model Stealing Attacks.

Mika Juuti, Sebastian Szyller, Samuel Marchal, N. Asokan

Proceedings of the IEEE European Symposium on Security and Privacy, 2019

Detecting organized eCommerce fraud using scalable categorical clustering.

Samuel Marchal, Sebastian Szyller

Proceedings of the 35th Annual Computer Security Applications Conference, 2019

2018

PRADA: Protecting against DNN Model Stealing Attacks.

Mika Juuti, Sebastian Szyller, Alexey Dmitrenko, Samuel Marchal, N. Asokan

CoRR, 2018