Arjhun Swaminathan

According to our database, Arjhun Swaminathan authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Empirical Evidence for Simply Connected Decision Regions in Image Classifiers.

Arjhun Swaminathan, Mete Akgün

CoRR, May, 2026

Understanding the Resource Cost of Fully Homomorphic Encryption in Quantum Federated Learning.

Lukas Böhm, Arjhun Swaminathan, Anika Hannemann, Erik Buchmann

CoRR, March, 2026

2025

Accelerating Targeted Hard-Label Adversarial Attacks in Low-Query Black-Box Settings.

Arjhun Swaminathan, Mete Akgün

CoRR, May, 2025

Distributed and Secure Kernel-Based Quantum Machine Learning.

Arjhun Swaminathan, Mete Akgün

Trans. Mach. Learn. Res., 2025

2024

PP-GWAS: Privacy Preserving Multi-Site Genome-wide Association Studies.

Arjhun Swaminathan, Anika Hannemann, Ali Burak Ünal, Nico Pfeifer, Mete Akgün

CoRR, 2024

Dynamic k-Anonymity for Electronic Health Records: A Topological Framework.

Arjhun Swaminathan, Mete Akgün

Proceedings of the Computer Security. ESORICS 2024 International Workshops, 2024

Private, Efficient and Scalable Kernel Learning for Medical Image Analysis.

Anika Hannemann, Arjhun Swaminathan, Ali Burak Ünal, Mete Akgün

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2024

2023

A Privacy-Preserving Federated Learning Approach for Kernel methods.

Anika Hannemann, Ali Burak Ünal, Arjhun Swaminathan, Erik Buchmann, Mete Akgün

CoRR, 2023

A Privacy-Preserving Framework for Collaborative Machine Learning with Kernel Methods.

Anika Hannemann, Ali Burak Ünal, Arjhun Swaminathan, Erik Buchmann, Mete Akgün

Proceedings of the 5th IEEE International Conference on Trust, 2023