Bogdan Kulynych

PhD student at EPFL Security and Privacy Engineering Lab (SPRING). I study the intersections of privacy, security, machine learning, and society.

Publications

• Bogdan Kulynych, Mohammad Yaghini, Giovanni Cherubin, Michael Veale, Carmela Troncoso. Disparate Vulnerability to Membership Inference Attacks. To appear in Privacy-Enhancing Technologies Symposium (PETS), 2022.
• Kendra Albert*, Maggie Delano*, Bogdan Kulynych*, Ram Shankar Siva Kumar*. Adversarial for Good? How the Adversarial ML Community’s Values Impede Socially Beneficial Uses of Attacks. In ICML 2021 “A Blessing in Disguise: The Prospects and Perils of Adversarial Machine Learning” Workshop
• Agathe Baleyn, Bogdan Kulynych, Seda Gürses. Exploring Data Pipelines through the Process Lens: a Reference Model for Computer Vision. In CVPR 2021 “Beyond Fair Computer Vision” Workshop
• Bogdan Kulynych*, Rebekah Overdorf*, Carmela Troncoso, Seda Gürses. POTs: Protective Optimization Technologies. In Fairness, Accountability, and Transparency (FAT) Conference 2020
• Wouter Lueks, Bogdan Kulynych, Jules Fasquelle, Simon Le Bail-Collet, Carmela Troncoso. zksk: A Library for Composable Zero-Knowledge Proofs. In Workshop on Privacy in the Electronic Society (WPES) 2018
• Bogdan Kulynych, Wouter Lueks, Marios Isaakidis, George Danezis, and Carmela Troncoso. ClaimChain: Improving the Security and Privacy of In-band Key Distribution for Messaging. In Workshop on Privacy in the Electronic Society (WPES) 2018.
• Rebekah Overdorf, Bogdan Kulynych, Ero Balsa, Carmela Troncoso, Seda Gürses. Questioning the assumptions behind fairness solutions. In NeurIPS 2018 “Critiquing and Correcting Trends in Machine Learning” Workshop
• Bogdan Kulynych, Jamie Hayes, Nikita Samarin, Carmela Troncoso. Evading classifiers in discrete domains with provable optimality guarantees. In NeurIPS 2018 Workshop on Security in Machine Learning

(*) indicates equal contribution.

Latest academic service

• Ethics reviewer at NeurIPS 2021.
• Reviewer at the 2021 CRAFT Track at FAccT conference.
• Co-organizer of the Participatory Approaches to ML ICML 2020 workshop
• Program committee member at the Towards Trustworthy ML ICLR 2020 workshop
• External reviewer at Privacy-Enhancing Technologies Symposium 2019–2021
• Program committee member at the Internet Science Conference Workshop on Encryption, Blockchains, and Personal Data, 2018