ADI - Adversarial Dominating Inputs in Vertical Federated Learning Systems

ADI - Adversarial Dominating Inputs in Vertical Federated Learning Systems

Explore a 14-minute IEEE conference talk that delves into the concept of Adversarial Dominating Inputs (ADI) in Vertical Federated Learning Systems. Learn from experts Qi Pang from Carnegie Mellon University, Yuanyuan Yuan and Shuai Wang from Hong Kong University of Science and Technology, and Wenting Zheng from Carnegie Mellon University as they present their research findings and insights on this critical topic in the field of federated learning and cybersecurity.