Eric Jahns

Orcid: 0009-0004-5511-7975

According to our database1, Eric Jahns authored at least 11 papers between 2025 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Towards Deep Encrypted Training: Low-Latency, Memory-Efficient, and High-Throughput Inference for Privacy-Preserving Neural Networks.
CoRR, April, 2026

SentinelTouch: A Lightweight Privacy-Preserving Biometric-Fingerprinting Authentication and Identification System Based on Neural Networks and Homomorphic Encryption.
Proc. Priv. Enhancing Technol., 2026

2025
Prismo: A Decision Support System for Privacy-Preserving ML Framework Selection.
CoRR, October, 2025

Learning Neuron Dynamics within Deep Spiking Neural Networks.
CoRR, October, 2025

Discretized Quadratic Integrate-and-Fire Neuron Model for Deep Spiking Neural Networks.
CoRR, October, 2025

FHEON: A Configurable Framework for Developing Privacy-Preserving Neural Networks Using Homomorphic Encryption.
CoRR, October, 2025

PrivSpike: Employing Homomorphic Encryption for Private Inference of Deep Spiking Neural Networks.
CoRR, October, 2025

GuardianML: Anatomy of Privacy-Preserving Machine Learning Techniques and Frameworks.
IEEE Access, 2025

Privacy-Preserving Deep Learning: A Survey on Theoretical Foundations, Software Frameworks, and Hardware Accelerators.
IEEE Access, 2025

R-Visor: An Extensible Dynamic Binary Instrumentation and Analysis Framework for Open Instruction Set Architectures.
Proceedings of the 26th ACM SIGPLAN/SIGBED International Conference on Languages, 2025

AQUILA: A Flexible Architecture Guideline for Building Custom Distributed Systems Testbeds.
Proceedings of the 23rd IEEE International Conference on Embedded and Ubiquitous Computing, 2025


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