Nges Brian Njungle

According to our database, Nges Brian Njungle authored at least 12 papers between 2024 and 2026.

Collaborative distances:

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

2026

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

Nges Brian Njungle, Eric Jahns, Michel A. Kinsy

CoRR, April, 2026

DALC-CT: Dynamic Analysis of Low-Level Code Traces for Constant-Time Verification.

Nges Brian Njungle, Edwin Kayang, Mishel Jyothis Paul, Michel A. Kinsy

CoRR, April, 2026

SentinelTouch: A Lightweight Privacy-Preserving Biometric-Fingerprinting Authentication and Identification System Based on Neural Networks and Homomorphic Encryption.

Nges Brian Njungle, Eric Jahns, Mishel Jyothis Paul, Michel A. Kinsy

Proc. Priv. Enhancing Technol., 2026

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

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

Gotta Hash 'Em All! Speeding Up Hash Functions for Zero-Knowledge Proof Applications.

Nojan Sheybani, Tengkai Gong, Anees Ahmed, Nges Brian Njungle, Michel A. Kinsy, Farinaz Koushanfar

CoRR, January, 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

A Safety-Centric Analysis and Benchmarks of Modern Open-Source Homomorphic Encryption Libraries.

Nges Brian Njungle, Milan Stojkov, Michel A. Kinsy

Proceedings of the 22nd International Conference on Security and Cryptography, 2025

Gotta Hash 'Em All! Accelerating Hash Functions for Zero-Knowledge Proof Applications.

Nojan Sheybani, Tengkai Gong, Anees Ahmed, Nges Brian Njungle, Michel A. Kinsy, Farinaz Koushanfar

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

Activate Me!: Designing Efficient Activation Functions for Privacy-Preserving Machine Learning with Fully Homomorphic Encryption.

Nges Brian Njungle, Michel A. Kinsy

Proceedings of the Progress in Cryptology - AFRICACRYPT 2025, 2025

2024

AMAZE: Accelerated MiMC Hardware Architecture for Zero-Knowledge Applications on the Edge.

Anees Ahmed, Nojan Sheybani, Davi Moreno, Nges Brian Njungle, Tengkai Gong, Michel A. Kinsy, Farinaz Koushanfar

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024