Sebastian Szyller

According to our database1, Sebastian Szyller authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
False Claims against Model Ownership Resolution.
Proceedings of the 33rd USENIX Security Symposium, 2024

SoK: Unintended Interactions among Machine Learning Defenses and Risks.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023
Ownership and Confidentiality in Machine Learning.
PhD thesis, 2023

On the Robustness of Dataset Inference.
Trans. Mach. Learn. Res., 2023

Conflicting Interactions among Protection Mechanisms for Machine Learning Models.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Conflicting Interactions Among Protections Mechanisms for Machine Learning Models.
CoRR, 2022

2021
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning.
CoRR, 2021

Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Generative Adversarial Networks.
CoRR, 2021

DAWN: Dynamic Adversarial Watermarking of Neural Networks.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2019
Extraction of Complex DNN Models: Real Threat or Boogeyman?
CoRR, 2019

PRADA: Protecting Against DNN Model Stealing Attacks.
Proceedings of the IEEE European Symposium on Security and Privacy, 2019

Detecting organized eCommerce fraud using scalable categorical clustering.
Proceedings of the 35th Annual Computer Security Applications Conference, 2019

2018
PRADA: Protecting against DNN Model Stealing Attacks.
CoRR, 2018


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