Sebastian Szyller

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Completely Unsupervised

Machine Learning

Credit Card Fraud Detection

Protection Mechanisms

Top Venues

USENIX Security Symposium

Publications

Mansi Phute, Alec Helbling, Matthew Hull, Shengyun Peng, Sebastian Szyller, Cory Cornelius, Duen Horng Chau
LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked. Tiny Papers @ ICLR (2024)
Jian Liu, Rui Zhang, Sebastian Szyller, Kui Ren, N. Asokan
False Claims against Model Ownership Resolution. USENIX Security Symposium (2024)
Vasisht Duddu, Sebastian Szyller, N. Asokan
SoK: Unintended Interactions among Machine Learning Defenses and Risks. CoRR (2023)
Sebastian Szyller, N. Asokan
Conflicting Interactions among Protection Mechanisms for Machine Learning Models. AAAI (2023)
Jian Liu, Rui Zhang, Sebastian Szyller, Kui Ren, N. Asokan
False Claims against Model Ownership Resolution. CoRR (2023)
Sebastian Szyller, Rui Zhang, Jian Liu, N. Asokan
On the Robustness of Dataset Inference. Trans. Mach. Learn. Res. 2023 (2023)
Sebastian Szyller, N. Asokan
Conflicting Interactions Among Protections Mechanisms for Machine Learning Models. CoRR (2022)
Sebastian Szyller, Rui Zhang, Jian Liu, N. Asokan
On the Robustness of Dataset Inference. CoRR (2022)
Sebastian Szyller, Vasisht Duddu, Tommi Gröndahl, N. Asokan
Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Generative Adversarial Networks. CoRR (2021)
Vasisht Duddu, Sebastian Szyller, N. Asokan
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning. CoRR (2021)
Sebastian Szyller, Buse Gul Atli, Samuel Marchal, N. Asokan
DAWN: Dynamic Adversarial Watermarking of Neural Networks. ACM Multimedia (2021)
Samuel Marchal, Sebastian Szyller
Detecting organized eCommerce fraud using scalable categorical clustering. ACSAC (2019)
Samuel Marchal, Sebastian Szyller
Detecting organized eCommerce fraud using scalable categorical clustering. CoRR (2019)
Sebastian Szyller, Buse Gul Atli, Samuel Marchal, N. Asokan
DAWN: Dynamic Adversarial Watermarking of Neural Networks. CoRR (2019)
Buse Gul Atli, Sebastian Szyller, Mika Juuti, Samuel Marchal, N. Asokan
Extraction of Complex DNN Models: Real Threat or Boogeyman? CoRR (2019)
Mika Juuti, Sebastian Szyller, Samuel Marchal, N. Asokan
PRADA: Protecting Against DNN Model Stealing Attacks. EuroS&P (2019)
Mika Juuti, Sebastian Szyller, Alexey Dmitrenko, Samuel Marchal, N. Asokan
PRADA: Protecting against DNN Model Stealing Attacks. CoRR (2018)