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2020 – today
- 2025
[j2]Bayrem Kaabachi, Jérémie Despraz
, Thierry Meurers, Karen Otte, Mehmed Halilovic, Bogdan Kulynych, Fabian Prasser, Jean Louis Raisaro:
A scoping review of privacy and utility metrics in medical synthetic data. npj Digit. Medicine 8(1) (2025)- [i15]Giorgia Carra, Bogdan Kulynych, François Bastardot, Daniel E. Kaufmann, Noémie Boillat-Blanco, Jean Louis Raisaro:
Participatory Assessment of Large Language Model Applications in an Academic Medical Center. CoRR abs/2501.10366 (2025) - 2024
- [c13]Avni Kothari, Bogdan Kulynych, Tsui-Wei Weng, Berk Ustun:
Prediction without Preclusion: Recourse Verification with Reachable Sets. ICLR 2024 - [c12]Theresa Stadler, Bogdan Kulynych, Michael Gastpar, Nicolas Papernot, Carmela Troncoso:
The Fundamental Limits of Least-Privilege Learning. ICML 2024 - [c11]He A. Xu, Valentin Loftsson, Bogdan Kulynych, Jean Louis Raisaro:
Accelerating Clinical Text Annotation in Underrepresented Languages: A Case Study on Text De-Identification. MIE 2024: 853-857 - [c10]Bogdan Kulynych, Jérémie Despraz, Christian Simon, Jean Louis Raisaro:
Evaluating Synthetic Data Augmentation to Correct for Data Imbalance in Realistic Clinical Prediction Settings. MIE 2024: 929-933 - [c9]Bogdan Kulynych, Jérémie Despraz, Jean Louis Raisaro:
Tunable Privacy Risk Evaluation of Generative Adversarial Networks. MIE 2024: 1233-1237 - [c8]Bogdan Kulynych, Juan Felipe Gómez, Georgios Kaissis, Flávio P. Calmon, Carmela Troncoso:
Attack-Aware Noise Calibration for Differential Privacy. NeurIPS 2024 - [i14]Theresa Stadler, Bogdan Kulynych, Nicolas Papernot, Michael Gastpar, Carmela Troncoso:
The Fundamental Limits of Least-Privilege Learning. CoRR abs/2402.12235 (2024) - [i13]Bogdan Kulynych, Juan Felipe Gómez, Georgios Kaissis, Flávio du Pin Calmon, Carmela Troncoso:
Attack-Aware Noise Calibration for Differential Privacy. CoRR abs/2407.02191 (2024) - 2023
- [c7]Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon:
Arbitrary Decisions Are a Hidden Cost of Differentially Private Training. EWAF 2023 - [c6]Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon:
Arbitrary Decisions are a Hidden Cost of Differentially Private Training. FAccT 2023: 1609-1623 - [c5]Klim Kireev, Bogdan Kulynych, Carmela Troncoso:
Adversarial Robustness for Tabular Data through Cost and Utility Awareness. NDSS 2023 - [i12]Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon:
Arbitrary Decisions are a Hidden Cost of Differentially-Private Training. CoRR abs/2302.14517 (2023) - [i11]Avni Kothari, Bogdan Kulynych, Tsui-Wei Weng, Berk Ustun:
Prediction without Preclusion: Recourse Verification with Reachable Sets. CoRR abs/2308.12820 (2023) - 2022
- [j1]Bogdan Kulynych, Mohammad Yaghini, Giovanni Cherubin, Michael Veale, Carmela Troncoso:
Disparate Vulnerability to Membership Inference Attacks. Proc. Priv. Enhancing Technol. 2022(1): 460-480 (2022) - [c4]Bogdan Kulynych, Yao-Yuan Yang, Yaodong Yu, Jaroslaw Blasiok, Preetum Nakkiran:
What You See is What You Get: Principled Deep Learning via Distributional Generalization. NeurIPS 2022 - [i10]Bogdan Kulynych, Yao-Yuan Yang, Yaodong Yu, Jaroslaw Blasiok, Preetum Nakkiran:
What You See is What You Get: Distributional Generalization for Algorithm Design in Deep Learning. CoRR abs/2204.03230 (2022) - [i9]Klim Kireev, Bogdan Kulynych, Carmela Troncoso:
Adversarial Robustness for Tabular Data through Cost and Utility Awareness. CoRR abs/2208.13058 (2022) - 2021
- [d1]Diomidis Spinellis, Stefanos Georgiou, Johan Herland, Mathias Payer, Wouter Lueks, Bogdan Kulynych, Filip Muki Dobranic, konasimakopoulos:
Epidose: A privacy-preserving epidemic dosimeter based on contact tracing. Zenodo, 2021
- [i8]Agathe Balayn, Bogdan Kulynych, Seda F. Gürses:
Exploring Data Pipelines through the Process Lens: a Reference Model forComputer Vision. CoRR abs/2107.01824 (2021) - [i7]Kendra Albert, Maggie K. Delano, Bogdan Kulynych, Ram Shankar Siva Kumar:
Adversarial for Good? How the Adversarial ML Community's Values Impede Socially Beneficial Uses of Attacks. CoRR abs/2107.10302 (2021) - 2020
- [c3]Bogdan Kulynych, Rebekah Overdorf, Carmela Troncoso, Seda F. Gürses:
POTs: protective optimization technologies. FAT* 2020: 177-188
2010 – 2019
- 2019
- [c2]Wouter Lueks, Bogdan Kulynych, Jules Fasquelle, Simon Le Bail-Collet, Carmela Troncoso:
zksk: A Library for Composable Zero-Knowledge Proofs. WPES@CCS 2019: 50-54 - [i6]Mohammad Yaghini, Bogdan Kulynych, Carmela Troncoso:
Disparate Vulnerability: on the Unfairness of Privacy Attacks Against Machine Learning. CoRR abs/1906.00389 (2019) - [i5]Wouter Lueks, Bogdan Kulynych, Jules Fasquelle, Simon Le Bail-Collet, Carmela Troncoso:
zksk: A Library for Composable Zero-Knowledge Proofs. CoRR abs/1911.02459 (2019) - 2018
- [c1]Bogdan Kulynych, Wouter Lueks, Marios Isaakidis, George Danezis, Carmela Troncoso:
ClaimChain: Improving the Security and Privacy of In-band Key Distribution for Messaging. WPES@CCS 2018: 86-103 - [i4]Bogdan Kulynych, Jamie Hayes, Nikita Samarin, Carmela Troncoso:
Evading classifiers in discrete domains with provable optimality guarantees. CoRR abs/1810.10939 (2018) - [i3]Rebekah Overdorf, Bogdan Kulynych, Ero Balsa, Carmela Troncoso, Seda F. Gürses:
Questioning the assumptions behind fairness solutions. CoRR abs/1811.11293 (2018) - 2017
- [i2]Bogdan Kulynych, Marios Isaakidis, Carmela Troncoso, George Danezis:
ClaimChain: Decentralized Public Key Infrastructure. CoRR abs/1707.06279 (2017) - [i1]Bogdan Kulynych, Carmela Troncoso:
Feature importance scores and lossless feature pruning using Banzhaf power indices. CoRR abs/1711.04992 (2017)
Coauthor Index
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last updated on 2025-03-04 22:32 CET by the dblp team
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