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Pavol Bielik
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2020 – today
- 2024
- [i7]Philipp Guldimann, Alexander Spiridonov, Robin Staab, Nikola Jovanovic, Mark Vero, Velko Vechev, Anna Gueorguieva, Mislav Balunovic, Nikola Konstantinov, Pavol Bielik, Petar Tsankov, Martin T. Vechev:
COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act. CoRR abs/2410.07959 (2024) - 2023
- [c19]Igor Linkov, Kelsey Stoddard, Andrew Strelzoff, Stephanie Elisabeth Galaitsi, Jeffrey M. Keisler, Benjamin D. Trump, Alexander Kott, Pavol Bielik, Petar Tsankov:
Toward Mission-Critical AI: Interpretable, Actionable, and Resilient AI. CyCon 2023: 181-197 - 2021
- [b1]Pavol Bielik:
Machine Learning and Synthesis of Robust Programs. ETH Zurich, Zürich, Switzerland, 2021 - [j2]Luis Oala, Andrew G. Murchison, Pradeep Balachandran, Shruti Choudhary, Jana Fehr, Alixandro Werneck Leite, Peter G. Goldschmidt, Christian Johner, Elora D. M. Schörverth, Rose Nakasi, Martin Meyer, Federico Cabitza, Pat D. Baird, Carolin Prabhu, Eva Weicken, Xiaoxuan Liu, Markus Wenzel, Steffen Vogler, Darlington Ahiale Akogo, Shada Alsalamah, Emre Kazim, Adriano S. Koshiyama, Sven Piechottka, Sheena Macpherson, Ian Shadforth, Regina Geierhofer, Christian Matek, Joachim Krois, Bruno Sanguinetti, Matthew Arentz, Pavol Bielik, Saúl Calderón Ramírez, Auss Abbood, Nicolas Langer, Stefan Haufe, Ferath Kherif, Sameer Pujari, Wojciech Samek, Thomas Wiegand:
Machine Learning for Health: Algorithm Auditing & Quality Control. J. Medical Syst. 45(12): 105 (2021) - [c18]Christian Berghoff, Pavol Bielik, Matthias Neu, Petar Tsankov, Arndt von Twickel:
Robustness Testing of AI Systems: A Case Study for Traffic Sign Recognition. AIAI 2021: 256-267 - [c17]Chengyuan Yao, Pavol Bielik, Petar Tsankov, Martin T. Vechev:
Automated Discovery of Adaptive Attacks on Adversarial Defenses. NeurIPS 2021: 26858-26870 - [c16]Matthew Mirman, Alexander Hägele, Pavol Bielik, Timon Gehr, Martin T. Vechev:
Robustness certification with generative models. PLDI 2021: 1141-1154 - [i6]Chengyuan Yao, Pavol Bielik, Petar Tsankov, Martin T. Vechev:
Automated Discovery of Adaptive Attacks on Adversarial Defenses. CoRR abs/2102.11860 (2021) - [i5]Christian Berghoff, Pavol Bielik, Matthias Neu, Petar Tsankov, Arndt von Twickel:
Robustness testing of AI systems: A case study for traffic sign recognition. CoRR abs/2108.06159 (2021) - 2020
- [c15]Larissa Laich, Pavol Bielik, Martin T. Vechev:
Guiding Program Synthesis by Learning to Generate Examples. ICLR 2020 - [c14]Pavol Bielik, Martin T. Vechev:
Adversarial Robustness for Code. ICML 2020: 896-907 - [c13]Raphaël Dang-Nhu, Gagandeep Singh, Pavol Bielik, Martin T. Vechev:
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models. ICML 2020: 2356-2365 - [i4]Pavol Bielik, Martin T. Vechev:
Adversarial Robustness for Code. CoRR abs/2002.04694 (2020) - [i3]Raphaël Dang-Nhu, Gagandeep Singh, Pavol Bielik, Martin T. Vechev:
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models. CoRR abs/2003.03778 (2020)
2010 – 2019
- 2019
- [i2]Philippe Schlattner, Pavol Bielik, Martin T. Vechev:
Learning to Infer User Interface Attributes from Images. CoRR abs/1912.13243 (2019) - 2018
- [j1]Pavol Bielik, Marc Fischer, Martin T. Vechev:
Robust relational layout synthesis from examples for Android. Proc. ACM Program. Lang. 2(OOPSLA): 156:1-156:29 (2018) - [c12]Mislav Balunovic, Pavol Bielik, Martin T. Vechev:
Learning to Solve SMT Formulas. NeurIPS 2018: 10338-10349 - 2017
- [c11]Pavol Bielik, Veselin Raychev, Martin T. Vechev:
Learning a Static Analyzer from Data. CAV (1) 2017: 233-253 - [c10]Pavol Bielik, Veselin Raychev, Martin T. Vechev:
Program Synthesis for Character Level Language Modeling. ICLR (Poster) 2017 - 2016
- [c9]Pavol Bielik, Veselin Raychev, Martin T. Vechev:
PHOG: Probabilistic Model for Code. ICML 2016: 2933-2942 - [c8]Veselin Raychev, Pavol Bielik, Martin T. Vechev:
Probabilistic model for code with decision trees. OOPSLA 2016: 731-747 - [c7]Ahmed El-Hassany, Jeremie Miserez, Pavol Bielik, Laurent Vanbever, Martin T. Vechev:
SDNRacer: concurrency analysis for software-defined networks. PLDI 2016: 402-415 - [c6]Veselin Raychev, Pavol Bielik, Martin T. Vechev, Andreas Krause:
Learning programs from noisy data. POPL 2016: 761-774 - [i1]Pavol Bielik, Veselin Raychev, Martin T. Vechev:
Learning a Static Analyzer from Data. CoRR abs/1611.01752 (2016) - 2015
- [c5]Pavol Bielik, Veselin Raychev, Martin T. Vechev:
Scalable race detection for Android applications. OOPSLA 2015: 332-348 - [c4]Pavol Bielik, Veselin Raychev, Martin T. Vechev:
Programming with "Big Code": Lessons, Techniques and Applications. SNAPL 2015: 41-50 - [c3]Jeremie Miserez, Pavol Bielik, Ahmed El-Hassany, Laurent Vanbever, Martin T. Vechev:
SDNRacer: detecting concurrency violations in software-defined networks. SOSR 2015: 22:1-22:7 - 2012
- [c2]Michal Tomlein, Pavol Bielik, Peter Krátky, Stefan Mitrík, Michal Barla, Mária Bieliková:
Advanced Pedometer for Smartphone-based Activity Tracking. HEALTHINF 2012: 401-404 - [c1]Pavol Bielik, Michal Tomlein, Peter Krátky, Stefan Mitrík, Michal Barla, Mária Bieliková:
Move2Play: an innovative approach to encouraging people to be more physically active. IHI 2012: 61-70
Coauthor Index
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last updated on 2024-11-19 21:42 CET by the dblp team
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