We organize a conference for collecting IMSc points in the context of the IT Security BSc course in the spring semester of the 2023/24 academic year at BME. Beyond IMSc point collection, the goal of the conference is to encourage students to deep-dive into some hot topics of IT security, to get familiar with the challenges and recent research results, and to share knowledge with other students in the form of short presentations. We do hope that the conference will shed light on the beauty of the field of IT security and some of its exciting research areas, and it will stimulate both the active participants of the conference and all other students enrolled in the IT security course to engage in further studies in the domain of IT security.
The Call for Papers (CfP) for the conference is available here.
all, uav, cyber-physical-system, vehicle, network-security, power grid, machine-learning, data-evaluation, privacy, economics, malware, binary-similarity, cryptography, machine-learning-security, LLM-security, LLM, copilot, federated-learning, poisoning, password-manager, AAA, OAuth, web-security, Kerberos
How to determine which features are the most important? How to measure which data samples are the highest quality? How to identify which datasets (aka participants) in a collaboraton are the most crutial? Contributions Score Computation schemes aim to answer these questions. Without such techniques to allocate the rewards amongst participants, the collaboration could even collapse. Without such mechanisms to find bad-quality data points, the final model could have inferior performance. Without such methods, the best features could remain hidden.
Tags: machine-learning, data-evaluation
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