A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection Algorithms. - Maxime Alvarez; Jean-Charles Verdier; D'Jeff K. Nkashama; Marc Frappier; Pierre-Martin Tardif; Froduald Kabanza (CoRR, 2022)

Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems. - D'Jeff Kanda Nkashama; Arian Soltani; Jean-Charles Verdier; Marc Frappier; Pierre-Martin Tardif; Froduald Kabanza (CoRR, 2022)

Deep Learning for Network Anomaly Detection Under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation. - D'Jeff K. Nkashama; Jordan F. Masakuna; Arian Soltani; Jean-Charles Verdier; Marc Frappier; Pierre-Martin Tardif; Froduald Kabanza (ESORICS Workshops (2), 2024)

Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation. - D'Jeff K. Nkashama; Jordan Masakuna Félicien; Arian Soltani; Jean-Charles Verdier; Pierre-Martin Tardif; Marc Frappier; Froduald Kabanza (CoRR, 2024)