AI for Cybersecurity
Date: 18 June 2026
Room: CB31A
Chairs: Giorgio Giacinto (UniCa), Annalisa Appice (UniBa)
Description
The AI for Cybersecurity workshop examines the role of artificial intelligence in protecting information systems, networks, and data in increasingly complex and dynamic environments. It focuses on techniques for threat detection, anomaly and behavioral analysis, and attack prevention. It also addresses AI system security, privacy, and the resilience of digital infrastructures.
Detailed Programme
Times show each contribution's presentation slot. An asterisk marks the presenting author when provided in the programme data.
| Time | ID | Contribution |
|---|---|---|
| 11:40-11:50 | #83 | Deep Learning for Network Security: DGA Detection and SDN Intrusion Detection |
| 11:50-12:00 | #55 | An Explainable Active Learning Framework for Intrusion Detection Systems |
| 12:00-12:10 | #127 | AI for Cybersecurity in Cyber-Physical Systems: Distributed Detection and Agentic Reasoning from the PICUS Lab at Federico II University |
| 12:10-12:20 | #89 | AI-Driven Cybersecurity: Detection, Evaluation, and Adaptive Defense across Endpoint and Federated Systems |
| 12:20-12:30 | #34 | Continuous Authentication: An Experimental Comparison between HMOG and UNIBA-CA dataset |
| 12:30-12:40 | #10 | Retrieval-Augmented Classification for Concept Drift Resilient Malware Detection |
| 12:40-12:50 | #22 | A Neuro-Symbolic Multi-Agent Approach to Legal–Cybersecurity Knowledge Integration |
| 12:50-13:00 | #65 | Time-Distributed Poisoning Attacks on Recommender Systems via Reinforcement Learning |
| 13:00-13:10 | #66 | Robustness Analysis of Hybrid DL-ML Pipelines for Medical Diagnosis under Adversarial Attacks |