2 citations · 3 across the 5 of their papers we have counts for
3 papers · 1 filter
TwinBreak: Jailbreaking LLM Security Alignments based on Twin Prompts
Torsten Krauß, Hamid Dashtbani, Alexandra Dmitrienko
Machine learning is advancing rapidly, with applications bringing notable benefits, such as improvements in translation and code generation. Models like ChatGPT, powered by Large L…
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…
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations
Torsten Krauß, Alexandra Dmitrienko
Federated Learning (FL) facilitates decentralized machine learning model training, preserving data privacy, lowering communication costs, and boosting model performance through div…