Valentin Hartmann

Orcid: 0000-0001-9856-0089

According to our database1, Valentin Hartmann authored at least 14 papers between 2019 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Neural Redshift: Random Networks are not Random Functions.
CoRR, 2024

2023
SoK: Memorization in General-Purpose Large Language Models.
CoRR, 2023

DiPPS: Differentially Private Propensity Scores for Bias Correction.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Language Model Decoding as Likelihood-Utility Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022
Privacy accounting εconomics: Improving differential privacy composition via a posteriori bounds.
Proc. Priv. Enhancing Technol., 2022

Language Model Decoding as Likelihood-Utility Alignment.
CoRR, 2022

Differentially Private Propensity Scores for Bias Correction.
CoRR, 2022

On the Choice of Databases in Differential Privacy Composition.
CoRR, 2022

Distribution inference risks: Identifying and mitigating sources of leakage.
CoRR, 2022

2021
KISS - A fast kNN-based Importance Score for Subspaces.
Proceedings of the 24th International Conference on Extending Database Technology, 2021

2020
Semi-discrete optimal transport: a solution procedure for the unsquared Euclidean distance case.
Math. Methods Oper. Res., 2020

Orderings of Data - More Than a Tripping Hazard: Visionary.
Proceedings of the SSDBM 2020: 32nd International Conference on Scientific and Statistical Database Management, 2020

Privacy-Preserving Classification with Secret Vector Machines.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Privacy-Preserving Distributed Learning with Secret Gradient Descent.
CoRR, 2019


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