Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Stang, Jasper"'
Product lifecycle tracing is increasingly in the focus of regulators and producers, as shown with the initiative of the Digital Product Pass. Likewise, new methods of counterfeit detection are developed that are, e.g., based on Physical Unclonable Fu
Externí odkaz:
http://arxiv.org/abs/2408.17049
The surge in popularity of machine learning (ML) has driven significant investments in training Deep Neural Networks (DNNs). However, these models that require resource-intensive training are vulnerable to theft and unauthorized use. This paper addre
Externí odkaz:
http://arxiv.org/abs/2403.06581
Ethereum smart contracts, which are autonomous decentralized applications on the blockchain that manage assets often exceeding millions of dollars, have become primary targets for cyberattacks. In 2023 alone, such vulnerabilities led to substantial f
Externí odkaz:
http://arxiv.org/abs/2312.16533
Due to costly efforts during data acquisition and model training, Deep Neural Networks (DNNs) belong to the intellectual property of the model creator. Hence, unauthorized use, theft, or modification may lead to legal repercussions. Existing DNN wate
Externí odkaz:
http://arxiv.org/abs/2310.16453
Autor:
Sendner, Christoph, Stang, Jasper, Dmitrienko, Alexandra, Wijewickrama, Raveen, Jadliwala, Murtuza
The Tor network is the most prominent system for providing anonymous communication to web users, with a daily user base of 2 million users. However, since its inception, it has been constantly targeted by various traffic fingerprinting and correlatio
Externí odkaz:
http://arxiv.org/abs/2307.08550