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Department of Electrical and Electronic Engineering, University of Cagliari, Italy, CINI, Rome, Italy
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Slash malware detection labeling costs by 90% using combined active and semi-supervised learning, without sacrificing performance.
Colluding federated learning participants can no longer hide: BlackCATT enables robust black-box traitor tracing even with sophisticated attacks and complex model architectures.
