System security refers to the measures taken to protect information systems from theft, damage to hardware or software, and disruption or misdirection of services. This includes controlling physical access to hardware and protecting against harm that may come via network access, data and code injection, and operator malpractice. With the increasing reliance on computer systems, including smart devices and wireless networks, system security is becoming increasingly important.
Presentations at the Networks and Distributed System Security (NDSS) Symposium 2024
From February 27th to February 29th, 2024, the annual Networks and Distributed System Security (NDSS) Symposium was held in San Diego, California. Recognized as an A* conference, NDSS stands as a top venue for presenting the latest advancements in security research.
AI Coding Challenge on Security and Privacy in Federated Learning
On February 15, 2024, Phillip Rieger and Alessandro Pegoraro from our group organized the AI Coding Challenge focused on the security and privacy aspects of Federated Learning (FL). The event was organized in collaboration with Platform Lernende Systeme and IBM Innovation Studios. Federated Learning represents a decentralized approach to machine learning, allowing multiple clients to collectively train Deep Neural Networks (DNNs) without centralizing data. This method ensures data privacy by having each client train DNNs on their local datasets and share only the DNN parameters. Despite its benefits, this decentralization also opens the door to potential security threats, including the submission of manipulated DNN models by malicious clients.
CROSSING Conference 2023
Shaping the Future of Digital Trust
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