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688 results
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Seminar
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SoSysec
Security and privacy in personal data management systems
Speaker : Nicolas Anciaux (INRIA)
Personal Data Management Systems (called PDMS) provide individuals with a hardware and/or software solution to manage their data under control. From a data management and security/privacy perspective, the issues involved are complex and differ significantly from the traditional database setting. The emergence of trusted execution environments (such as Intel SGX) could be a game changer. This[…] -
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Seminar
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SoSysec
DroidGuard: A Deep Dive into SafetyNet
Speaker : Romain Thomas (Quarkslab)
SafetyNet is the Android component developed by Google to verify the devices’ integrity. These checks are used by the developers to prevent running applications on devices that would not meet security requirements but it is also used by Google to prevent bots, fraud and abuse.In 2017, Collin Mulliner & John Kozyrakis made one of the first public presentations about SafetyNet and a glimpse into the[…] -
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Seminar
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SoSysec
Canadian and Québec approaches to contact tracing
Speaker : Sébastien Gambs (Université du Québec à Montréal, Canada)
Contact tracing applications have been deployed in many countries as a complementary measure to fight Covid-19 by enabling to automatically notify individuals who have been in contact with infected persons. However, the choice of the design of a particular application is not innocent as it has a direct impact on its security as well as on the privacy of its user. In this talk, I will review the[…] -
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Seminar
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SoSysec
Learning-Based Network Intrusion Detection: an Imbalanced, Constantly Evolving and Timely Problem
Speaker : Maxime Pelcat (INSA Rennes)
Network intrusion detection systems (NIDS) observe network traffic and aim to pinpoint intrusions, i.e. effective threats on the integrity, availability or confidentiality of services and data provided by this network. There are two types of NIDS:1) signature-based intrusion detection systems that identify known intrusions by referring to an existing knowledge base, and2) anomaly-based intrusion[…] -
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Seminar
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SoSysec
Model Stealing Attacks Against Inductive Graph Neural Networks
Speaker : Yufei Han (INRIA)
Many real-world data come in the form of graphs. Graph neural networks (GNNs), a new family of machine learning (ML) models, have been proposed to fully leverage graph data to build powerful applications. In particular, the inductive GNNs, which can generalize to unseen data, become mainstream in this direction. Machine learning models have shown great potential in various tasks and have been[…] -
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Seminar
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SoSysec
Where ML Security Is Broken and How to Fix It
Speaker : Maura Pintor (PRA Lab, University of Cagliari)
To understand the sensitivity under attacks and to develop defense mechanisms, machine-learning model designers craft worst-case adversarial perturbations with gradient-descent optimization algorithms against the model under evaluation. However, many of the proposed defenses have been shown to provide a false sense of robustness due to failures of the attacks, rather than actual improvements in[…] -