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In Federated Learning (FL) and many other distributed training frameworks, collaborators can hold their private data locally and only share...
Canary exposure, introduced in Carlini et al. is frequently used to empirically evaluate, or audit, the privacy of machine learning...
In Federated Learning (FL) and many other distributed training frameworks, collaborators can hold their private data locally and only share...
The rapid digitalisation of SMEs, further expedited as a business continuity measure against Covid19 impact, has brought along major cybersecurity...
Canary exposure, introduced in Carlini et al. is frequently used to empirically evaluate, or audit, the privacy of machine learning...
The smart-grid introduces several new data-gathering, communication, and information-sharing capabilities into the electrical system, as well as additional privacy threats,...
The rapid digitalisation of SMEs, further expedited as a business continuity measure against Covid19 impact, has brought along major cybersecurity...
As modern software extensively uses open source packages, developers regularly pull in new upstream code through frequent updates. While a...
The smart-grid introduces several new data-gathering, communication, and information-sharing capabilities into the electrical system, as well as additional privacy threats,...
As modern software extensively uses open source packages, developers regularly pull in new upstream code through frequent updates. While a...