61 results
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Safety-Security Convergence of Industrial Control Systems
Speaker : Maxime Puys - Université Clermont Auvergne - IUT de Clermont-Ferrand
Industrial Control Systems (ICS) are designed to provide a service, such as power generation or water treatment, while protecting people, assets, and the environment against hazards. However, ICS now integrate Information Technology (IT) and are interconnected with the outside world such as the Internet, thereby exposing their infrastructures to cyberattacks. Cyberattacks have thus become new[…]-
Risk Assessment
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SoSysec
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Intrusion detection
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Un protocole SMPC de curation de données d'entrainement et sa fragilité aux hypothèses de sécurité...
Speaker : Marc-Olivier Killijian - Université du Québec à Montréal
... ou "Sécurité et insécurité - dans quel état j’erre, ai-je bien rangé mon modèle de sécurité ?" De nos jours, les sources de données, et leurs curateurs, sont répartis à travers le monde. Il arrive que les propriétaires de ces données souhaitent collaborer entre eux afin d’augmenter la qualité de ces données, particulièrement avant d’entrainer des modèles d’apprentissage machine.Dans cet exposé[…]-
SoSysec
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Privacy
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Machine learning
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Distributed systems
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The Battle Against Bots: Current Threats and New Directions to Counter Automated Attacks
Speaker : Elisa Chiapponi - Amadeus IT Group
In today's digital landscape, the battle between industry and automated bots is an ever-evolving challenge. Attackers are leveraging advanced techniques such as residential proxies, CAPTCHA farms, and AI-enhanced fingerprint rotations to evade detection and execute functional abuse attacks, including web scraping, denial of inventory, and SMS pumping. This talk will explore ongoing efforts to[…]-
SoSysec
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Intrusion detection
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From Deciding Knowledge to Intrusion Detection
Speaker : Yannick Chevalier - Université de Toulouse
By interpreting terms as distributions over strings, Abadi and Rogaway proved under suitable assumptions that indistinguishability in the computational setting, accepted as the impossibility for an observer to acquire knowledge from observing a protocol execution, is equivalent to formal equivalence in a symbolic setting. This result led to multiple results on “deciding knowledge” using static[…]-
SoSysec
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Intrusion detection
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Differentially Private Linear Sketches: Efficient Implementations and Applications
Speaker : Fuheng Zhao (University of California Santa Barbara)
Linear sketches have been widely adopted to process fast data streams, and they can be used to accurately answer frequency estimation, approximate top K items, and summarize data distributions. When data are sensitive, it is desirable to provide privacy guarantees for linear sketches to preserve private information while delivering useful results with theoretical bounds. To address these[…] -
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[…]