Anomaly-Based Network Intrusion Detection Using Wavelets and Adversarial Autoencoders. - Samir Puuska; Tero Kokkonen; Janne Alatalo; Eppu Heilimo (SecITC, 2018)

Network Anomaly Detection Based on WaveNet. - Tero Kokkonen; Samir Puuska; Janne Alatalo; Eppu Heilimo; Antti Mäkelä (NEW2AN, 2019)

Statistical Evaluation of Artificial Intelligence -Based Intrusion Detection System. - Samir Puuska; Tero Kokkonen; Petri Mutka; Janne Alatalo; Eppu Heilimo; Antti Mäkelä (WorldCIST (2), 2020)

Artificial Intelligence in the IoT Era: A Review of Edge AI Hardware and Software. - Tuomo Sipola; Janne Alatalo; Tero Kokkonen; Mika Rantonen (FRUCT, 2022)

Chromatic and Spatial Analysis of One-Pixel Attacks Against an Image Classifier. - Janne Alatalo; Joni Korpihalkola; Tuomo Sipola; Tero Kokkonen (NETYS, 2022)

Detecting One-Pixel Attacks Using Variational Autoencoders. - Janne Alatalo; Tuomo Sipola; Tero Kokkonen (WorldCIST (1), 2022)

Food Supply Chain Cyber Threats: A Scoping Review. - Janne Alatalo; Tuomo Sipola; Tero Kokkonen (WorldCIST (3), 2023)

Improved Difference Images for Change Detection Classifiers in SAR Imagery Using Deep Learning. - Janne Alatalo; Tuomo Sipola; Mika Rantonen (IEEE Trans. Geosci. Remote. Sens., 2023)