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Privacy Implications of Voice and Speech Analysis – Information Disclosure by Inference

Privacy Implications of Voice and Speech Analysis – Information Disclosure by Inference

AdvertisementPrivacy Implications of Voice and Speech Analysis – Information Disclosure by InferenceInternet-connected devices, such as smartphones, smartwatches, and laptops, have become ubiquitous in modern life, reaching ever deeper into our private spheres. Among the sensors most commonly found in such devices are microphones. While various privacy concerns related to microphone-equipped devices have been raised and thoroughly discussed, the threat of unexpected inferences from audio data remains largely overlooked. Drawing from literature of diverse disciplines, this paper presents an...

June 3, 2020
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Is My Phone Listening in? On the Feasibility and Detectability of Mobile Eavesdropping

Is My Phone Listening in? On the Feasibility and Detectability of Mobile Eavesdropping

AdvertisementIs My Phone Listening in? On the Feasibility and Detectability of Mobile EavesdroppingBesides various other privacy concerns with mobile devices, many people suspect their smartphones to be secretly eavesdropping on them. In particular, a large number of reports has emerged in recent years claiming that private conversations conducted in the presence of smartphones seemingly resulted in targeted online advertisements. These rumors have not only attracted media attention, but also the attention of regulatory authorities. With regard to explaining the phenomenon, opinions are...

April 25, 2020
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Gender Detection on Social Networks Using Ensemble Deep Learning

Gender Detection on Social Networks Using Ensemble Deep Learning

AdvertisementAnalyzing the ever-increasing volume of posts on social media sites, such as Facebook and Twitter requires improved information processing methods for profiling authorship. Document classification is central to this task, but the performance of traditional supervised classifiers has degraded as the volume of social media has increased. This paper addresses this problem in the context of gender detection through ensemble classification that employs multi-model deep learning architectures to generate specialized understanding from different feature spaces.This is a preview of...

November 21, 2020
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Is My Phone Listening in? On the Feasibility and Detectability of Mobile Eavesdropping

Is My Phone Listening in? On the Feasibility and Detectability of Mobile Eavesdropping

AdvertisementIs My Phone Listening in? On the Feasibility and Detectability of Mobile EavesdroppingBesides various other privacy concerns with mobile devices, many people suspect their smartphones to be secretly eavesdropping on them. In particular, a large number of reports has emerged in recent years claiming that private conversations conducted in the presence of smartphones seemingly resulted in targeted online advertisements. These rumors have not only attracted media attention, but also the attention of regulatory authorities. With regard to explaining the phenomenon, opinions are...

August 12, 2020
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