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

Qianying Liao, Dimitri Van Landuyt, Davy Preuveneers and Wouter Joosen

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

Juan Manuel Baldonado, Flavia Bonomo-Braberman and Víctor Adrián Braberman