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ORCIDValentin Hartmann
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2020 – today
- 2024
[c7]Damien Teney, Armand Mihai Nicolicioiu, Valentin Hartmann, Ehsan Abbasnejad:
Neural Redshift: Random Networks are not Random Functions. CVPR 2024: 4786-4796- [i9]Damien Teney, Armand Nicolicioiu, Valentin Hartmann, Ehsan Abbasnejad:
Neural Redshift: Random Networks are not Random Functions. CoRR abs/2403.02241 (2024) - 2023
- [c6]Martin Josifoski, Maxime Peyrard, Frano Rajic, Jiheng Wei, Debjit Paul, Valentin Hartmann, Barun Patra, Vishrav Chaudhary, Emre Kiciman, Boi Faltings:
Language Model Decoding as Likelihood-Utility Alignment. EACL (Findings) 2023: 1425-1440 - [c5]Liangwei Chen, Valentin Hartmann, Robert West:
DiPPS: Differentially Private Propensity Scores for Bias Correction. ICWSM 2023: 114-125 - [c4]Valentin Hartmann, Léo Meynent, Maxime Peyrard, Dimitrios Dimitriadis, Shruti Tople, Robert West:
Distribution Inference Risks: Identifying and Mitigating Sources of Leakage. SaTML 2023: 136-149 - [i8]Valentin Hartmann, Anshuman Suri, Vincent Bindschaedler
, David Evans, Shruti Tople, Robert West:
SoK: Memorization in General-Purpose Large Language Models. CoRR abs/2310.18362 (2023) - 2022
- [j2]Valentin Hartmann, Vincent Bindschaedler, Alexander Bentkamp, Robert West:
Privacy accounting εconomics: Improving differential privacy composition via a posteriori bounds. Proc. Priv. Enhancing Technol. 2022(3): 222-246 (2022) - [i7]Valentin Hartmann, Vincent Bindschaedler, Alexander Bentkamp, Robert West:
Privacy accounting εconomics: Improving differential privacy composition via a posteriori bounds. CoRR abs/2205.03470 (2022) - [i6]Valentin Hartmann, Léo Meynent, Maxime Peyrard, Dimitrios Dimitriadis, Shruti Tople, Robert West:
Distribution inference risks: Identifying and mitigating sources of leakage. CoRR abs/2209.08541 (2022) - [i5]Valentin Hartmann, Vincent Bindschaedler, Robert West:
On the Choice of Databases in Differential Privacy Composition. CoRR abs/2209.13697 (2022) - [i4]Liangwei Chen, Valentin Hartmann, Robert West:
Differentially Private Propensity Scores for Bias Correction. CoRR abs/2210.02360 (2022) - [i3]Martin Josifoski, Maxime Peyrard, Frano Rajic, Jiheng Wei, Debjit Paul, Valentin Hartmann, Barun Patra, Vishrav Chaudhary, Emre Kiciman, Boi Faltings, Robert West:
Language Model Decoding as Likelihood-Utility Alignment. CoRR abs/2210.07228 (2022) - 2021
- [c3]Anna Beer, Ekaterina Allerborn, Valentin Hartmann, Thomas Seidl:
KISS - A fast kNN-based Importance Score for Subspaces. EDBT 2021: 391-396 - 2020
- [j1]Valentin Hartmann, Dominic Schuhmacher:
Semi-discrete optimal transport: a solution procedure for the unsquared Euclidean distance case. Math. Methods Oper. Res. 92(1): 133-163 (2020) - [c2]Valentin Hartmann, Konark Modi, Josep M. Pujol, Robert West:
Privacy-Preserving Classification with Secret Vector Machines. CIKM 2020: 475-484 - [c1]Anna Beer, Valentin Hartmann, Thomas Seidl:
Orderings of Data - More Than a Tripping Hazard: Visionary. SSDBM 2020: 17:1-17:4
2010 – 2019
- 2019
- [i2]Valentin Hartmann, Robert West:
Privacy-Preserving Distributed Learning with Secret Gradient Descent. CoRR abs/1906.11993 (2019) - [i1]Valentin Hartmann, Konark Modi, Josep M. Pujol, Robert West:
Privacy-Preserving Classification with Secret Vector Machines. CoRR abs/1907.03373 (2019)
Coauthor Index
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