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ORCIDDaniël Vos
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- affiliation: Delft University of Technology, The Netherlands
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Journal Articles
- 2023
[j1]Yingqian Zhang
, Laurens Bliek, Paulo da Costa, Reza Refaei Afshar, Robbert Reijnen, Tom Catshoek, Daniël Vos, Sicco Verwer, Fynn Schmitt-Ulms, André Hottung, Tapan Shah, Meinolf Sellmann, Kevin Tierney, Carl Perreault-Lafleur, Caroline Leboeuf, Federico Bobbio, Justine Pepin, Warley Almeida Silva, Ricardo Gama, Hugo L. Fernandes, Martin Zaefferer, Manuel López-Ibáñez, Ekhine Irurozki:
The first AI4TSP competition: Learning to solve stochastic routing problems. Artif. Intell. 319: 103918 (2023)
Conference and Workshop Papers
- 2023
- [c6]Azqa Nadeem, Daniël Vos, Clinton Cao, Luca Pajola, Simon Dieck, Robert Baumgartner, Sicco Verwer:
SoK: Explainable Machine Learning for Computer Security Applications. EuroS&P 2023: 221-240 - [c5]Daniël Vos, Sicco Verwer:
Optimal Decision Tree Policies for Markov Decision Processes. IJCAI 2023: 5457-5465 - 2022
- [c4]Daniël Vos, Sicco Verwer:
Robust Optimal Classification Trees against Adversarial Examples. AAAI 2022: 8520-8528 - [c3]Jelle Vos, Daniël Vos, Zekeriya Erkin:
Efficient Circuits for Permuting and Mapping Packed Values Across Leveled Homomorphic Ciphertexts. ESORICS (1) 2022: 408-423 - [c2]Daniël Vos, Sicco Verwer:
Adversarially Robust Decision Tree Relabeling. ECML/PKDD (3) 2022: 203-218 - 2021
- [c1]Daniël Vos, Sicco Verwer:
Efficient Training of Robust Decision Trees Against Adversarial Examples. ICML 2021: 10586-10595
Informal and Other Publications
- 2024
- [i9]Daniël Vos, Sicco Verwer:
Optimizing Interpretable Decision Tree Policies for Reinforcement Learning. CoRR abs/2408.11632 (2024) - [i8]Jacobus G. M. van der Linden, Daniël Vos, Mathijs Michiel de Weerdt, Sicco Verwer, Emir Demirovic:
Optimal or Greedy Decision Trees? Revisiting their Objectives, Tuning, and Performance. CoRR abs/2409.12788 (2024) - 2023
- [i7]Daniël Vos, Sicco Verwer:
Optimal Decision Tree Policies for Markov Decision Processes. CoRR abs/2301.13185 (2023) - [i6]Daniël Vos, Jelle Vos, Tianyu Li, Zekeriya Erkin, Sicco Verwer:
Differentially-Private Decision Trees with Probabilistic Robustness to Data Poisoning. CoRR abs/2305.15394 (2023) - 2022
- [i5]Laurens Bliek, Paulo da Costa, Reza Refaei Afshar, Yingqian Zhang, Tom Catshoek, Daniël Vos, Sicco Verwer, Fynn Schmitt-Ulms, André Hottung, Tapan Shah, Meinolf Sellmann, Kevin Tierney, Carl Perreault-Lafleur, Caroline Leboeuf, Federico Bobbio, Justine Pepin, Warley Almeida Silva, Ricardo Gama, Hugo L. Fernandes, Martin Zaefferer, Manuel López-Ibáñez, Ekhine Irurozki:
The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems. CoRR abs/2201.10453 (2022) - [i4]Azqa Nadeem, Daniël Vos, Clinton Cao, Luca Pajola, Simon Dieck, Robert Baumgartner, Sicco Verwer:
SoK: Explainable Machine Learning for Computer Security Applications. CoRR abs/2208.10605 (2022) - 2021
- [i3]Daniël Vos, Sicco Verwer:
Robust Optimal Classification Trees Against Adversarial Examples. CoRR abs/2109.03857 (2021) - 2020
- [i2]Daniël Vos, Sicco Verwer:
Efficient Training of Robust Decision Trees Against Adversarial Examples. CoRR abs/2012.10438 (2020) - 2018
- [i1]Daniël Vos, Leon Overweel, Wouter Raateland, Jelle Vos, Matthijs Bijman, Max Pigmans, Zekeriya Erkin:
DEFenD: A Secure and Privacy-Preserving Decentralized System for Freight Declaration. CoRR abs/1803.09257 (2018)
Coauthor Index
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