Giacomo Iadarola
Orcid: 0000-0001-7060-6233
According to our database1,
Giacomo Iadarola
authored at least 34 papers
between 2019 and 2024.
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Bibliography
2024
J. Comput. Virol. Hacking Tech., June, 2024
Picker Blinder: a framework for automatic injection of malicious inter-app communication.
J. Comput. Virol. Hacking Tech., June, 2024
Proceedings of the 10th International Conference on Information Systems Security and Privacy, 2024
2023
Diabetic retinopathy detection and diagnosis by means of robust and explainable convolutional neural networks.
Neural Comput. Appl., August, 2023
Privacy-Preserving Data Sharing for Collaborative Analytics in Multi-Modal Transportation Systems.
ERCIM News, 2023
A Method for Robust and Explainable Image-Based Network Traffic Classification with Deep Learning.
Proceedings of the 20th International Conference on Security and Cryptography, 2023
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023
Benchmarking YOLO Models for Automatic Reading in Smart Metering Systems: A Performance Comparison Analysis.
Proceedings of the International Conference on Machine Learning and Applications, 2023
StegWare: A Novel Malware Model Exploiting Payload Steganography and Dynamic Compilation.
Proceedings of the 9th International Conference on Information Systems Security and Privacy, 2023
2022
Fighting Cybercrime by Introducing Trustworthiness and Interpretability in Deep Learning Malware Detection.
ERCIM News, 2022
Assessing Deep Learning Predictions in Image-Based Malware Detection with Activation Maps.
Proceedings of the Security and Trust Management - 18th International Workshop, 2022
A Real-time Method for CAN Bus Intrusion Detection by Means of Supervised Machine Learning.
Proceedings of the 19th International Conference on Security and Cryptography, 2022
A Method for Road Accident Prevention in Smart Cities based on Deep Reinforcement Learning.
Proceedings of the 19th International Conference on Security and Cryptography, 2022
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
On the Resilience of Shallow Machine Learning Classification in Image-based Malware Detection.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
Explainable Retinopathy Diagnosis and Localisation by means of Class Activation Mapping.
Proceedings of the International Joint Conference on Neural Networks, 2022
Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022
Proceedings of the Computer Security. ESORICS 2022 International Workshops, 2022
Proceedings of the BSCI 2022: Proceedings of the 4th ACM International Symposium on Blockchain and Secure Critical Infrastructure, 2022
Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning: A Proposal.
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022
AII, 2022
Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022
2021
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2021
Towards an interpretable deep learning model for mobile malware detection and family identification.
Comput. Secur., 2021
Proceedings of the 18th International Conference on Security and Cryptography, 2021
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021
A Semi-Automated Explainability-Driven Approach for Malware Analysis through Deep Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
2020
Evaluating Deep Learning Classification Reliability in Android Malware Family Detection.
Proceedings of the 2020 IEEE International Symposium on Software Reliability Engineering Workshops, 2020
Image-based Malware Family Detection: An Assessment between Feature Extraction and Classification Techniques.
Proceedings of the 5th International Conference on Internet of Things, 2020
2019
Proceedings of the Sixth International Conference on Internet of Things: Systems, 2019