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DTSTART;TZID=Europe/Paris:20220309T140000
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DTSTAMP:20220309T154609Z
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SUMMARY:HDR - Rémi Badonnel (Resist)
DESCRIPTION:Rémi Badonnel (Resist) will defend his HDR (Habilitation à Diriger des Recherches) on Wednesday\, 9th March at 2pm in room A008. \nHis presentation is entitled « Managing Security for the Cyber-Space: From Smart Monitoring to Automated Configuration ». \nAbstract: The Internet has become a great integration platform for building and operating complex and value-added networked systems. These systems are however exposed to a large variety of security attacks\, that are also gaining in sophistication and coordination. In that context\, the objective of my research work is to support security management for the cyberspace\, with the elaboration of new monitoring and configuration solutions for these systems. A first axis of this work focuses on the investigation of smart monitoring methods capable to cope with low-resource networks. In particular\, we propose a lightweight monitoring architecture for detecting security attacks in low-power and lossy networks. A second axis concerns the assessment and remediation of vulnerabilities that may occur when changes are operated on system configurations. Based on vulnerability descriptions\, we design and implement dedicated strategies for improving the coverage and efficiency of vulnerability assessment activities using versioning and probabilistic techniques\, and for preventing the occurrence of new vulnerabilities during remediation operations. A third axis is dedicated to the automated configuration of virtualized resources to support security management. In particular\, we introduce a software-defined security approach for cloud infrastructures\, and analyze to what extent programmability facilities can contribute to their protection at the earliest stage\, through the dynamic generation of specialized system images with reduced attack surfaces. Complementarily\, we work on building and verification techniques for supporting the orchestration of security chains\, that are composed of virtualized network functions\, such as firewalls or intrusion detection systems. Finally\, several research perspectives on security automation are pointed out with respect to ensemble methods\, composite services and verified artificial intelligence. \n 
URL:https://www.loria.fr/event/hdr-remi-badonnel-resist/
CATEGORIES:HDR
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DTSTART;TZID=Europe/Paris:20220316T140000
DTEND;TZID=Europe/Paris:20220316T170000
DTSTAMP:20220309T155622Z
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SUMMARY:HDR - Romain Serizel (Multispeech)
DESCRIPTION:Romain Serizel (Multispeech) will defend his HDR on Tuesday\, 16th March at 2pm in room A008. \nHis presentation is entitled « Contributions to speech processing and ambient sound analysis ». \nAbstract: Contributions to speech processing and ambient sound analysis We are constantly surrounded by sounds that we continuously exploit to adapt our actions to situations we are facing. Some of the sounds like speech can have a particular structure from which we can infer some information\, explicit or not. Within the last decade\, there has been significant progress in the domain of speech and audio processing and in particular in the domain of machine learning applied to speech and audio processing. Thanks to these progresses\, speech has become a central element in many human to human distant communication tools as well as in human to machine communication systems. These solutions work pretty well on clean speech or under controlled condition. However\, in scenarios that involve the presence of acoustic perturbation such as noise or reverberation systems performance tends to degrade severely. In this thesis we focus on processing speech and its environments from an audio perspective. The algorithms proposed here are relying on a variety of solutions from signal processing based approaches to data-driven solutions based on supervised matrix factorization or deep neural networks. We propose solutions to problems ranging from speech recognition\, to speech enhancement or ambient sound analysis. The target is to offer a panorama of the different aspects that could improve a speech processing algorithm working in a real environments. We start by describing automatic speech recognition as a potential end application and progressively unravel the limitations and the proposed solutions ending-up to the more general ambient sound analysis. Contributions au traitement de la parole et à l’analyse des sons ambiants Nous sommes constamment entourés de sons que nous exploitons pour adapter nos actions aux situations auxquelles nous sommes confrontés. Certains sons comme la parole peuvent avoir une structure particulière à partir de laquelle nous pouvons déduire des informations\, explicites ou non. Au cours de la décennie écoulée\, des progrès significatifs ont été réalisés dans le domaine du traitement de la parole et du son. Grâce à ces progrès\, la parole est devenue un élément central de nombreux outils de communication à distance d’humain à humain ainsi que dans les systèmes de communication humain-machine. Dans les scénarios qui impliquent la présence de perturbations acoustiques telles que du bruit ou de la réverbération les performances peuvent avoir tendance à se dégrader gravement. Dans cette HDR\, nous nous concentrons sur le traitement de la parole et de son environnement d’un point de vue audio. Les algorithmes proposés reposent sur une variété de solutions allant des approches basées sur le traitement du signal aux solutions orientées données. Nous proposons des solutions à des problèmes allant de la reconnaissance vocale au rehaussement de la parole ou à l’analyse des sons ambiants. L’objectif est d’offrir un panorama des différents aspects qui pourraient être améliorer un algorithme de traitement de la parole fonctionnant dans un environnement réel. Nous commençons par décrire la reconnaissance automatique de la parole comme une application finale potentielle et analysons progressivement les limites et les solutions proposées aboutissant à l’analyse plus générale des sons ambiants.
URL:https://www.loria.fr/event/hdr-romain-serizel-multispeech/
CATEGORIES:HDR
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