Robin Staab

Orcid: 0009-0009-9040-1214

According to our database¹, Robin Staab authored at least 12 papers between 2021 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

A Synthetic Dataset for Personal Attribute Inference.

[BibT_eX]

[DOI]

CoRR, 2024

Black-Box Detection of Language Model Watermarks.

[BibT_eX]

[DOI]

CoRR, 2024

Back to the Drawing Board for Fair Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Exploiting LLM Quantization.

[BibT_eX]

[DOI]

CoRR, 2024

Private Attribute Inference from Images with Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Models are Advanced Anonymizers.

[BibT_eX]

[DOI]

CoRR, 2024

Watermark Stealing in Large Language Models.

[BibT_eX]

[DOI]

Nikola Jovanovic

Robin Staab

Martin T. Vechev

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Beyond Memorization: Violating Privacy via Inference with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Abstract Interpretation of Fixpoint Iterators with Applications to Neural Networks.

[BibT_eX]

[DOI]

Proc. ACM Program. Lang., 2023

From Principle to Practice: Vertical Data Minimization for Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Bayesian Framework for Gradient Leakage.

[BibT_eX]

[DOI]

Mislav Balunovic

Dimitar Iliev Dimitrov

Robin Staab

Martin T. Vechev

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Effective Certification of Monotone Deep Equilibrium Models.

[BibT_eX]

[DOI]

CoRR, 2021

Robin Staab

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