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
Membership inference attacks aim to determine if a specific data point was part of a machine learning model's training set, which could pose privacy risks in sensitive domains like healthcare. It is the de-facto attack to asses the privacy leakage, so it is regularly used to audit machine learning models. However, its narrow scope and reliance on numerous assumptions raise questions about its ability to provide a comprehensive view, so its results may be misleading by creating a false sense of privacy protection.
Tags: machine-learning, privacy
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