Author

Baris Aksanli

h-index 23 View on Semantic Scholar

We have 2 of 101 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Sep 2026

DAFF: Deployment-Aware Feature Fusion for Efficient TinyML-Based Intrusion Detection in IoT

Tiny Machine Learning (TinyML) enables on-device inference for resource-constrained IoT systems, yet most intrusion detection approaches focus primarily on classification accuracy while overlooking deployment constraints such as latency, memory footprint, and energy consumption. This paper presents a system-level TinyM...

A. G. M. F. H. Akanda, Baris Aksanli · International Symposium on N... · 0 citations

Open access Jul 2026

ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification

ReLATE+ is proposed, a unified framework for adversarially robust and computationally efficient time-series classification that ensures strong performance while reducing the need for retraining, and it generalizes well across different domains with varying data distributions and feature spaces.

C. I. Kocal, Onat Gungor, T. Rosing et al. · Electronics · 0 citations