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  8. Mo­bi­le & IoT se­cu­ri­ty and pri­va­cy

Mo­bi­le & IoT se­cu­ri­ty and pri­va­cy

Topic: IoT Privacy (MA)

Title: (Mis)Match of Privacy Consent in Speech Recognition

Forecasts predict that the number of digital voice assistants will exceed the world’s population with more than 8 billion devices by 2024. Whether at our homes, in our cars, or on our smartphones, voice-based systems are on their way becoming a ubiquitous technology that constantly captures and analyzes their surrounding environment.

Legal regulations such as GDPR that defines the processing and storing of personal information from individuals who live in the European Union are a significant gain to prevent private information but it also has to be made sure that these are complied. While there is a large body of research on the vulnerability of automatic speech recognition (ASR) against attacks such as adversarial examples, much work remains to be done when it comes to interpreting and understanding the compliance of privacy consents as specified by the GDPR guidelines. In particular, we still need an extensive investigation into how private user data is handled by ASR systems, and whether they abide by the the GDPR guidelines.

Related work:


 

Topic: Mobile Privacy (BA/MA)

Title: Application of search-based techniques for user data privacy guarantees in mobile apps.

Related work:


 

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Mobile Privacy (overview)

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