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S. Jangir

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Open access Jul 2026

VARUNA: verifiable adaptive resilient unified framework against byzantine attacks in federated learning-based IDS

This research introduces the Multi-Agent GAN Network Exploitation Tactic (MAGNET), leveraging actor-critic-based reinforcement learning to manipulate GAN models, effectively neutralizing over 99% of malicious clients in scalable FL environments.

S. Jangir, Anil Kumar Prajapati, Avinash Awasthi et al. · 0 citations
Open access Jul 2026

Evaluating Super-Resolution Models for Real-World Sentinel-2 Applications: A Case Study

The experiments demonstrate that SR pre-processing improves quantitative fidelity and downstream task performance, enabling low-resolution satellites to compete more effectively with commercial imagery.

Ron Mühlhaus, S. Jangir, Cecilia Curreli et al. · 0 citations
Open access Jul 2026

From Aerial to Satellite: Can Super-Resolution Enable Label-Free Model Transfer?

This work investigates whether super-resolution (SR) methods can bridge the gap between aerial and high-resolution satellite imagery, enabling a label-free model transfer, meaning without fine-tuning the authors' model with additional manual annotations.

N. Merkle, C. Henry, S. Jangir et al. · 0 citations

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