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Sebastian Szyller
Sebastian Szyller
Intel Labs
Verified email at intel.com - Homepage
Title
Cited by
Cited by
Year
PRADA: protecting against DNN model stealing attacks
M Juuti, S Szyller, S Marchal, N Asokan
2019 IEEE European Symposium on Security and Privacy (EuroS&P), 512-527, 2019
5272019
Dawn: Dynamic adversarial watermarking of neural networks
S Szyller, BG Atli, S Marchal, N Asokan
Proceedings of the 29th ACM International Conference on Multimedia, 4417-4425, 2021
1972021
Llm self defense: By self examination, llms know they are being tricked
M Phute, A Helbling, MD Hull, SY Peng, S Szyller, C Cornelius, DH Chau
The Second Tiny Papers Track at ICLR 2024, 2023
1182023
Extraction of complex dnn models: Real threat or boogeyman?
BG Atli, S Szyller, M Juuti, S Marchal, N Asokan
Engineering Dependable and Secure Machine Learning Systems: Third …, 2020
462020
Detecting organized eCommerce fraud using scalable categorical clustering
S Marchal, S Szyller
Proceedings of the 35th Annual Computer Security Applications Conference …, 2019
212019
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning
V Duddu, S Szyller, N Asokan
arXiv preprint arXiv:2112.02230, 2021
132021
Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Generative Adversarial Networks
S Szyller, V Duddu, T Gröndahl, N Asokan
arXiv e-prints, arXiv: 2104.12623, 2021
132021
False claims against model ownership resolution
J Liu, R Zhang, S Szyller, K Ren, N Asokan
33rd USENIX Security Symposium (USENIX Security 24), 6885-6902, 2024
82024
Conflicting Interactions among Protection Mechanisms for Machine Learning Models
S Szyller, N Asokan
Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 15179 …, 2023
82023
On the robustness of dataset inference
S Szyller, R Zhang, J Liu, N Asokan
arXiv preprint arXiv:2210.13631, 2022
42022
SoK: Unintended Interactions among Machine Learning Defenses and Risks
V Duddu, S Szyller, N Asokan
arXiv preprint arXiv:2312.04542, 2023
32023
Imperceptible Adversarial Examples in the Physical World
W Xu, S Szyller, C Cornelius, LM Rojas, M Arvinte, A Velasquez, J Martin, ...
arXiv preprint arXiv:2411.16622, 2024
2024
Methods and apparatus for private synthetic data generation
M Arvinte, B Edwards, C Cornelius, J Martin, S Szyller, M Sheller, ...
US Patent App. 18/591,640, 2024
2024
Ownership and Confidentiality in Machine Learning
S Szyller
Aalto University, 2023
2023
Adversary Detection in Online Machine Learning Systems
S Szyller
2020
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