Prof. Mauro Conti, “Brave New Threat: The Rise of Covert and Side Channels”
11:00 – Towards A Common Task Framework for Distributed Collaborative Machine Learning
Juan Manuel Baldonado, Flavia Bonomo-Braberman and Víctor Adrián Braberman
11:15 – Federated Learning under Attack: Game-Theoretic Mitigation of Data Poisoning
Marco De Santis and Christian Esposito
11:40 – Privacy-Preserving in Federated Learning: A Comparison Between Differential Privacy and Homomorphic Encryption Across Different Scenarios
Alessio Catalfamo, Maria Fazio, Antonio Celesti and Massimo Villari
11:55 – Exploring and Mitigating Gradient Leakage Vulnerabilities in Federated Learning
Harshit Gupta, Ghena Barakat, Luca D’Agati, Francesco Longo, Giovanni Merlino and Antonio Puliafito
14:00 – Quantifying Correlations of Machine Learning Models
Yuanyuan Li, Neeraj Sarna and Yang Lin
14:25 – Structural Backdoor Attack on IoT Malware Detectors Via Graph Explainability
Yu-Cheng Chiu, Maina Bernard Mwangi, Shin-Ming Cheng and Hahn-Ming Lee
14:50 – Black-Box Multi-Robustness Testing for Neural Networks
Mara Downing and Tevfik Bultan
15:15 – Towards a Probabilistic Framework for Analyzing and Improving LLM-Enabled Software