18 - 20 Dec 2020Ended

International Symposium on Emerging Information Security and Applications



09:00 AM - 06:00 PM
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upto 100
Based on previous editions


18 - 20 Dec 2020


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With the trend of bring your own device, mobile devices are increasingly used to access and store sensitive corporate information as well. However, .. Read more not only mobile devices and applications present a unique set of risks to personal privacy, they also pose new security challenges to enterprise information systems. This talk will provide an overview of the research activities conducted in the Secure Mobile Center at the Singapore Management University, from techniques to fortifying mobile platforms with a user centric trust anchor, mobile malware analysis, detection and containment, secure and usable schemes for local and remote authentication, to scalable and efficient access control of encrypted data in the cloud for mobile users whose devices are constrained in both power and computation capabilities. Various security issues underlying the proposed authentication mechanism are discussed in-depth. However, the models in machine learning are often insecure, both from a confidentiality and an integrity point of view. In a confidentiality compromise, say involving a machine learning model mapping symptoms to disease diagnosis, an attacker could extract from the model data about specific individuals used in its training. The talk will introduce machine learning, and review existing attacks and defences concerning its security.

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Technical University of Denmark

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