Faced with the threat of identity leakage during voice data publishing, users are engaged in
a privacy-utility dilemma when enjoying the utility of voice services. Existing machine-centric …

∗ Funded by the German Research Foundation (DFG, Deutsche Forschungsgemeinschaft)
as part of Germany's Excellence Strategy–EXC 2050/1–Project ID 390696704–Cluster of …

With the development of speech technology, huge amounts of speech data generated by
users is collected by speech service providers and may be used for data sharing. However …

With the development of artificial intelligence technology, Federated Learning (FL) model
has been widely used in many industries for its high efficiency and confidentiality. Some …

As machine learning expanding application, there are more and more unignorable privacy
and safety issues. Especially inference attacks against Machine Learning models allow …

Faced with the threat of identity leakage during voice data publishing, users are engaged in
a privacy-utility dilemma when enjoying convenient voice services. Existing studies employ …

With the development of information science and technology, various industries have
generated massive amounts of data, and machine learning is widely used in the analysis of …

The advent of the information age has led to the problems of information overload and
unclear demands. As an information filtering system, personalized recommendation systems …

Safe whistleblowing within companies could give a more transparent and open society, and
keeping the whistleblower safe is key, this has led to a new EU Whistleblowing Directive …

The growth of the Internet and the pervasiveness of Information and Communication
Technology (ICT) have led to a radical change in our society, a deep economical …