The study of securing information and communication systems, including encryption techniques and network security.
The article presents MalDICT, a collection of four benchmark datasets that support different, under-represented malware classification tasks. Malware can be classified according to various attributes, and the ability to identify…
Continue readingThis academic article focuses on a new system called PhishReplicant, designed to detect ‘generated squatting domains’ (GSDs), which are domain names created by attackers to trick users into visiting phishing…
Continue readingThe article presents a study on Weierstrass elliptic curves over finite ring Zn. The authors emphasize the importance of developing post-quantum protocols due to the threat of quantum attacks on…
Continue readingThe article revisits the transferable adversarial examples, which are a significant security concern in real-world, black-box attack scenarios. The authors identify two main problems in common evaluation practices: lack of…
Continue readingThe paper discusses the vulnerability of multi-agent collaborative (MAC) perception, particularly in applications like autonomous driving. MAC perception, despite its advantages, is more susceptible to adversarial attacks due to the…
Continue readingThe thesis by Jacob Tyge Gøker Swambo, submitted for a Ph.D., explores the design and analysis of Bitcoin custody systems. These are systems to safeguard, manage, and control Bitcoin assets….
Continue readingThis paper provides a comprehensive privacy assessment of prompts learned by visual prompt learning. The authors demonstrate that these prompts are vulnerable to property inference and membership inference attacks. The…
Continue readingThis article presents a comprehensive study on post-quantum (PQ) cybersecurity approaches. The authors analyse different PQ schemes, their vulnerabilities, and security assessments. They also evaluate global standardization processes and their…
Continue readingIn the world of privacy-preserving machine learning, empirical privacy defenses are often used to maintain training data privacy without significantly affecting model utility. These defenses usually require reference data, an…
Continue readingThe article introduces StegGuard, a novel fingerprinting mechanism designed to verify the ownership of pre-trained encoders using steganography. The unique transformation from an image to an embedding, conducted by a…
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