Sebastian Szyller

25 papers A* 4A 2Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Amulet: a Python Library for Assessing Interactions Among ML Defenses and Risks.
CoRR
Asim Waheed, Vasisht Duddu, Rui Zhang, Sebastian Szyller, N. Asokan
2025 — conf
Atlas: A Framework for ML Lifecycle Provenance & Transparency.
EuroS&P (Workshops)
Marcin Spoczynski, Marcela S. Melara, Sebastian Szyller
2025 J jnl
Atlas: A Framework for ML Lifecycle Provenance & Transparency.
CoRR
Marcin Spoczynski, Marcela S. Melara, Sebastian Szyller
2025 — conf
Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models.
EMNLP (Findings)
Haokun Chen, Sebastian Szyller, Weilin Xu, Nageen Himayat
2025 J jnl
Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models.
CoRR
Haokun Chen, Sebastian Szyller, Weilin Xu, Nageen Himayat
2024 A* conf
False Claims against Model Ownership Resolution.
USENIX Security Symposium
Jian Liu, Rui Zhang, Sebastian Szyller, Kui Ren, N. Asokan
2024 J jnl
Imperceptible Adversarial Examples in the Physical World.
CoRR
Weilin Xu, Sebastian Szyller, Cory Cornelius, Luis Murillo Rojas, Marius Arvinte, Alvaro Velasquez, Jason Martin, Nageen Himayat
2024 — conf
LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked.
Tiny Papers @ ICLR
Mansi Phute, Alec Helbling, Matthew Hull, Shengyun Peng, Sebastian Szyller, Cory Cornelius, Duen Horng Chau
2024 A* conf
SoK: Unintended Interactions among Machine Learning Defenses and Risks.
SP
Vasisht Duddu, Sebastian Szyller, N. Asokan
2023 A* conf
Conflicting Interactions among Protection Mechanisms for Machine Learning Models.
AAAI
Sebastian Szyller, N. Asokan
2023 J jnl
False Claims against Model Ownership Resolution.
CoRR
Jian Liu, Rui Zhang, Sebastian Szyller, Kui Ren, N. Asokan
2023 J jnl
On the Robustness of Dataset Inference.
Trans. Mach. Learn. Res.
Sebastian Szyller, Rui Zhang, Jian Liu, N. Asokan
2023 — —
Ownership and Confidentiality in Machine Learning.
Sebastian Szyller
2023 J jnl
SoK: Unintended Interactions among Machine Learning Defenses and Risks.
CoRR
Vasisht Duddu, Sebastian Szyller, N. Asokan
2022 J jnl
Conflicting Interactions Among Protections Mechanisms for Machine Learning Models.
CoRR
Sebastian Szyller, N. Asokan
2022 J jnl
On the Robustness of Dataset Inference.
CoRR
Sebastian Szyller, Rui Zhang, Jian Liu, N. Asokan
2021 A* conf
DAWN: Dynamic Adversarial Watermarking of Neural Networks.
ACM Multimedia
Sebastian Szyller, Buse Gul Atli, Samuel Marchal, N. Asokan
2021 J jnl
Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Generative Adversarial Networks.
CoRR
Sebastian Szyller, Vasisht Duddu, Tommi Gröndahl, N. Asokan
2021 J jnl
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning.
CoRR
Vasisht Duddu, Sebastian Szyller, N. Asokan
2019 J jnl
DAWN: Dynamic Adversarial Watermarking of Neural Networks.
CoRR
Sebastian Szyller, Buse Gul Atli, Samuel Marchal, N. Asokan
2019 A conf
Detecting organized eCommerce fraud using scalable categorical clustering.
ACSAC
Samuel Marchal, Sebastian Szyller
2019 J jnl
Detecting organized eCommerce fraud using scalable categorical clustering.
CoRR
Samuel Marchal, Sebastian Szyller
2019 J jnl
Extraction of Complex DNN Models: Real Threat or Boogeyman?
CoRR
Buse Gul Atli, Sebastian Szyller, Mika Juuti, Samuel Marchal, N. Asokan
2019 A conf
PRADA: Protecting Against DNN Model Stealing Attacks.
EuroS&P
Mika Juuti, Sebastian Szyller, Samuel Marchal, N. Asokan
2018 J jnl
PRADA: Protecting against DNN Model Stealing Attacks.
CoRR
Mika Juuti, Sebastian Szyller, Alexey Dmitrenko, Samuel Marchal, N. Asokan