Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Woszczyk, Dominika"'
Autor:
Woszczyk, Dominika, Demetriou, Soteris
Dementia is a sensitive neurocognitive disorder affecting tens of millions of people worldwide and its cases are expected to triple by 2050. Alarmingly, recent advancements in dementia classification make it possible for adversaries to violate affect
Externí odkaz:
http://arxiv.org/abs/2410.04188
Speaker embeddings extracted from voice recordings have been proven valuable for dementia detection. However, by their nature, these embeddings contain identifiable information which raises privacy concerns. In this work, we aim to anonymize embeddin
Externí odkaz:
http://arxiv.org/abs/2407.03470
Dementia is a growing problem as our society ages, and detection methods are often invasive and expensive. Recent deep-learning techniques can offer a faster diagnosis and have shown promising results. However, they require large amounts of labelled
Externí odkaz:
http://arxiv.org/abs/2206.12879
Autor:
Khan, Sojhal Ismail, Woszczyk, Dominika, You, Chengzeng, Demetriou, Soteris, Naveed, Muhammad
Publikováno v:
Annual Computer Security Applications Conference (ACSAC '21), December 6--10, 2021, USA
Mobile crowdsourcing services (MCS), enable fast and economical data acquisition at scale and find applications in a variety of domains. Prior work has shown that Foursquare and Waze (a location-based and a navigation MCS) are vulnerable to different
Externí odkaz:
http://arxiv.org/abs/2110.08517
Personal voice assistants (VAs) are shown to be vulnerable against record-and-replay, and other acoustic attacks which allow an adversary to gain unauthorized control of connected devices within a smart home. Existing defenses either lack detection a
Externí odkaz:
http://arxiv.org/abs/2106.14191
Speech recognition systems have improved dramatically over the last few years, however, their performance is significantly degraded for the cases of accented or impaired speech. This work explores domain adversarial neural networks (DANN) for speaker
Externí odkaz:
http://arxiv.org/abs/2010.03623
Urbanism is no longer planned on paper thanks to powerful models and 3D simulation platforms. However, current work is not open to the public and lacks an optimisation agent that could help in decision making. This paper describes the creation of an
Externí odkaz:
http://arxiv.org/abs/1810.07791