1 citations · 2 across the 5 of their papers we have counts for
5 papers
SPOQchain: Platform for Secure, Scalable, and Privacy-Preserving Supply Chain Tracing and Counterfeit Protection
Moritz Finke, Alexandra Dmitrienko, Jasper Stang
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 d…
DNNShield: Embedding Identifiers for Deep Neural Network Ownership Verification
Jasper Stang, Torsten Krauß, Alexandra Dmitrienko
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 t…
Vulnerability Scanners for Ethereum Smart Contracts: A Large-Scale Study
Christoph Sendner, Lukas Petzi, Jasper Stang +1
Ethereum smart contracts, which are autonomous decentralized applications on the blockchain that manage assets often exceeding millions of dollars, have become primary targets for…
ClearMark: Intuitive and Robust Model Watermarking via Transposed Model Training
Torsten Krauß, Jasper Stang, Alexandra Dmitrienko
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, the…
TorMult: Introducing a Novel Tor Bandwidth Inflation Attack
Christoph Sendner, Jasper Stang, Alexandra Dmitrienko +2
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 bee…