Kulynych, Bogdan

13 publications

NeurIPS 2025 Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy Bogdan Kulynych, Juan Felipe Gomez, Georgios Kaissis, Jamie Hayes, Borja Balle, Flavio Calmon, Jean Louis Raisaro

NeurIPS 2024 Attack-Aware Noise Calibration for Differential Privacy Bogdan Kulynych, Juan Felipe Gomez, Georgios Kaissis, Flavio du Pin Calmon, Carmela Troncoso

NeurIPSW 2024 Generative AI in the Hospital: A Participatory Assessment of Healthcare Needs and Challenges Giorgia Carra, Bogdan Kulynych, François Bastardot, Noémie Boillat-Blanco, Jean Louis Raisaro

NeurIPSW 2024 Position: Participatory Assessment of Large Language Model Applications in an Academic Medical Center Giorgia Carra, Bogdan Kulynych, François Bastardot, Daniel E. Kaufmann, Noémie Boillat-Blanco, Jean Louis Raisaro

NeurIPSW 2024 Position: Participatory Assessment of Large Language Model Applications in an Academic Medical Center Giorgia Carra, Bogdan Kulynych, François Bastardot, Noémie Boillat-Blanco, Jean Louis Raisaro

ICLR 2024 Prediction Without Preclusion: Recourse Verification with Reachable Sets Avni Kothari, Bogdan Kulynych, Tsui-Wei Weng, Berk Ustun

ICML 2024 The Fundamental Limits of Least-Privilege Learning Theresa Stadler, Bogdan Kulynych, Michael Gastpar, Nicolas Papernot, Carmela Troncoso

ICMLW 2023 Adversarial Robustness for Tabular Data Through Cost and Utility Awareness Klim Kireev, Bogdan Kulynych, Carmela Troncoso

NeurIPSW 2022 Adversarial Robustness for Tabular Data Through Cost and Utility Awareness Klim Kireev, Bogdan Kulynych, Carmela Troncoso

ICMLW 2022 Causal Prediction Can Induce Performative Stability Bogdan Kulynych

NeurIPS 2022 What You See Is What You Get: Principled Deep Learning via Distributional Generalization Bogdan Kulynych, Yao-Yuan Yang, Yaodong Yu, Jarosław Błasiok, Preetum Nakkiran

NeurIPSW 2022 What You See Is What You Get: Principled Deep Learning via Distributional Generalization Bogdan Kulynych, Yao-Yuan Yang, Yaodong Yu, Jaroslaw Blasiok, Preetum Nakkiran

ICMLW 2021 Adversarial for Good? How the Adversarial ML Community's Values Impede Socially Beneficial Uses of Attacks Kendra Albert, Maggie Delano, Bogdan Kulynych, Ram Shankar Siva Kumar