Bogdan Kulynych

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Public Key Infrastructure

Cell Suppression

Top Venues

Publications

Theresa Stadler, Bogdan Kulynych, Nicolas Papernot, Michael Gastpar, Carmela Troncoso
The Fundamental Limits of Least-Privilege Learning. CoRR (2024)
Bogdan Kulynych, Juan Felipe Gómez, Georgios Kaissis, Flávio du Pin Calmon, Carmela Troncoso
Attack-Aware Noise Calibration for Differential Privacy. CoRR (2024)
Avni Kothari, Bogdan Kulynych, Tsui-Wei Weng, Berk Ustun
Prediction without Preclusion: Recourse Verification with Reachable Sets. ICLR (2024)
Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon
Arbitrary Decisions are a Hidden Cost of Differentially-Private Training. CoRR (2023)
Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon
Arbitrary Decisions are a Hidden Cost of Differentially Private Training. FAccT (2023)
Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon
Arbitrary Decisions Are a Hidden Cost of Differentially Private Training. EWAF (2023)
Avni Kothari, Bogdan Kulynych, Tsui-Wei Weng, Berk Ustun
Prediction without Preclusion: Recourse Verification with Reachable Sets. CoRR (2023)
Klim Kireev, Bogdan Kulynych, Carmela Troncoso
Adversarial Robustness for Tabular Data through Cost and Utility Awareness. NDSS (2023)
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 (2022)
Bogdan Kulynych, Mohammad Yaghini, Giovanni Cherubin, Michael Veale, Carmela Troncoso
Disparate Vulnerability to Membership Inference Attacks. Proc. Priv. Enhancing Technol. 2022 (1) (2022)
Klim Kireev, Bogdan Kulynych, Carmela Troncoso
Adversarial Robustness for Tabular Data through Cost and Utility Awareness. CoRR (2022)
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)
Agathe Balayn, Bogdan Kulynych, Seda F. Gürses
Exploring Data Pipelines through the Process Lens: a Reference Model forComputer Vision. CoRR (2021)
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 (2021)
Bogdan Kulynych, Rebekah Overdorf, Carmela Troncoso, Seda F. Gürses
POTs: protective optimization technologies. FAT* (2020)
Wouter Lueks, Bogdan Kulynych, Jules Fasquelle, Simon Le Bail-Collet, Carmela Troncoso
zksk: A Library for Composable Zero-Knowledge Proofs. CoRR (2019)
Mohammad Yaghini, Bogdan Kulynych, Carmela Troncoso
Disparate Vulnerability: on the Unfairness of Privacy Attacks Against Machine Learning. CoRR (2019)
Wouter Lueks, Bogdan Kulynych, Jules Fasquelle, Simon Le Bail-Collet, Carmela Troncoso
zksk: A Library for Composable Zero-Knowledge Proofs. WPES@CCS (2019)
Bogdan Kulynych, Jamie Hayes, Nikita Samarin, Carmela Troncoso
Evading classifiers in discrete domains with provable optimality guarantees. CoRR (2018)
Rebekah Overdorf, Bogdan Kulynych, Ero Balsa, Carmela Troncoso, Seda F. Gürses
Questioning the assumptions behind fairness solutions. CoRR (2018)
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)
Bogdan Kulynych, Marios Isaakidis, Carmela Troncoso, George Danezis
ClaimChain: Decentralized Public Key Infrastructure. CoRR (2017)
Bogdan Kulynych, Carmela Troncoso
Feature importance scores and lossless feature pruning using Banzhaf power indices. CoRR (2017)