A Comparative Analysis of Machine Learning Techniques for IoT Intrusion Detection. - João Vitorino; Rui Andrade; Isabel Praça; Orlando Sousa; Eva Maia (FPS, 2021)

A Multi-policy Framework for Deep Learning-based Fake News Detection. - João Vitorino; Tiago Dias 002; Tiago Fonseca; Nuno Oliveira 008; Isabel Praça (DCAI (1), 2022)

A Low-Cost Multi-Agent System for Physical Security in Smart Buildings. - Tiago Fonseca; Tiago Dias 002; João Vitorino; Luís Lino Ferreira; Isabel Praça (CoRR, 2022)

Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection. - João Vitorino; Nuno Oliveira 008; Isabel Praça (Future Internet, 2022)

Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection. - João Vitorino; Lourenço Abrunhosa Rodrigues; Eva Maia; Isabel Praça; André Lourenço (AIME, 2023)

From Data to Action: Exploring AI and IoT-Driven Solutions for Smarter Cities. - Tiago Dias 002; Tiago Fonseca; João Vitorino; Andreia Martins; Sofia Malpique; Isabel Praça (DCAI (1), 2023)

Unravelling Network-Based Intrusion Detection: A Neutrosophic Rule Mining and Optimization Framework. - Tiago Fontes Dias; João Vitorino; Tiago Fonseca; Isabel Praça; Eva Maia; Maria João Viamonte (ESORICS Workshops (2), 2023)

An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection. - João Vitorino; Miguel Silva; Eva Maia; Isabel Praça (FPS (1), 2023)

Constrained Adversarial Learning and its applicability to Automated Software Testing: a systematic review. - João Vitorino; Tiago Dias 002; Tiago Fonseca; Eva Maia; Isabel Praça (CoRR, 2023)

Towards adversarial realism and robust learning for IoT intrusion detection and classification. - João Vitorino; Isabel Praça; Eva Maia (Ann. des Télécommunications, 2023)

SoK: Realistic adversarial attacks and defenses for intelligent network intrusion detection. - João Vitorino; Isabel Praça; Eva Maia (Comput. Secur., 2023)

Extended Reality and Phobia Treatments: A Systematic Literature Review. - Tatiana Ferreira; Tatiana Batista; Tiago Lopes; Pedro Malheiro; João Vitorino; Roberto Vaz; João de Sousa (CENTERIS/ProjMAN/HCist, 2024)

Intelligent Green Efficiency for Intrusion Detection. - Pedro Pereira; Paulo Mendes 005; João Vitorino; Eva Maia; Isabel Praça (FPS (2), 2024)

Efficient Network Traffic Feature Sets for IoT Intrusion Detection. - Miguel Silva; João Vitorino; Eva Maia; Isabel Praça (CoRR, 2024)

Adversarial Evasion Attack Efficiency against Large Language Models. - João Vitorino; Eva Maia; Isabel Praça (CoRR, 2024)

Network Simulation with Complex Cyber-attack Scenarios. - Tiago Dias 002; João Vitorino; Eva Maia; Isabel Praça (CoRR, 2024)

Enhancing JavaScript Malware Detection Through Weighted Behavioral DFAs. - Pedro Pereira; José Gonçalves; João Vitorino; Eva Maia; Isabel Praça (EICC, 2025)

Flow Exporter Impact on Intelligent Intrusion Detection Systems. - Daniela Pinto; João Vitorino; Eva Maia; Ivone Amorim; Isabel Praça (ICISSP (2), 2025)

Reliable feature selection for adversarially robust cyber-attack detection. - João Vitorino; Miguel Silva; Eva Maia; Isabel Praça (Ann. des Télécommunications, 2025)