Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
become overwhelmed, slower to respond, and more likely to overlook genuine indicators of compromise. A range of methods have been explored to reduce false alerts, including provenance-based analysis and
-
analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images
-
at the devices, and even if encryption is used to protect ML models, those models can be extracted during dynamic analysis. To secure on-device ML models, in this project, we aim to employ privacy-enhancing
-
Despite the popularity of providing text analysis as a service by high-tech companies, it is still challenging to develop and deploy NLP applications involving sensitive and demographic information
-
to apply for Monash Jobs '. Please ensure your cover letter considers the most important elements of the Key Selection Criteria of the position description and highlights your key offerings to this position
-
challenge is to create disentangled representations for paralinguistic information and the content of speech. Herein, a component of such a disentangled representation contains only necessary information
-
on how to apply, please refer to 'How to apply for Monash Jobs '. Please ensure your cover letter considers the most important elements of the Key Selection Criteria of the position description and
-
, data collection, analysis and reporting, publication and project management. The candidate will co-supervise a PhD student working on the program, and will also contribute to other major programs funded
-
, or High Second-Class Masters degree or equivalent in the health-related field. Strong quantitative research skills. An understanding of quantitative research methodology and data analysis. Evidence of
-
. MCHRI and its program leaders have internationally recognised reputations as research leaders. The education of our PhD students is a core element of our training program. We aim to graduate students who