Eric Jahns

According to our database, Eric Jahns authored at least 8 papers in 2025.

Collaborative distances:

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

2025

Prismo: A Decision Support System for Privacy-Preserving ML Framework Selection.

Nges Brian Njungle, Eric Jahns, Luigi Mastromauro, Edwin Kayang, Milan Stojkov, Michel A. Kinsy

CoRR, October, 2025

Learning Neuron Dynamics within Deep Spiking Neural Networks.

Eric Jahns, Davi Moreno, Michel A. Kinsy

CoRR, October, 2025

Discretized Quadratic Integrate-and-Fire Neuron Model for Deep Spiking Neural Networks.

Eric Jahns, Davi Moreno, Milan Stojkov, Michel A. Kinsy

CoRR, October, 2025

FHEON: A Configurable Framework for Developing Privacy-Preserving Neural Networks Using Homomorphic Encryption.

Nges Brian Njungle, Eric Jahns, Michel A. Kinsy

CoRR, October, 2025

PrivSpike: Employing Homomorphic Encryption for Private Inference of Deep Spiking Neural Networks.

Nges Brian Njungle, Eric Jahns, Milan Stojkov, Michel A. Kinsy

CoRR, October, 2025

GuardianML: Anatomy of Privacy-Preserving Machine Learning Techniques and Frameworks.

Nges Brian Njungle, Eric Jahns, Zhenqi Wu, Luigi Mastromauro, Milan Stojkov, Michel A. Kinsy

IEEE Access, 2025

Privacy-Preserving Deep Learning: A Survey on Theoretical Foundations, Software Frameworks, and Hardware Accelerators.

Eric Jahns, Milan Stojkov, Michel A. Kinsy

IEEE Access, 2025

R-Visor: An Extensible Dynamic Binary Instrumentation and Analysis Framework for Open Instruction Set Architectures.

Edwin Kayang, Mishel Jyothis Paul, Eric Jahns, Muslum Ozgur Ozmen, Milan Stojkov, Kevin Rudd, Michel A. Kinsy

Proceedings of the 26th ACM SIGPLAN/SIGBED International Conference on Languages, 2025