Thorsten Eisenhofer

According to our database, Thorsten Eisenhofer authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Whispers in the Machine: Confidentiality in LLM-integrated Systems.

Jonathan Evertz, Merlin Chlosta, Lea Schönherr, Thorsten Eisenhofer

CoRR, 2024

2023

Security of machine learning systems.

Thorsten Eisenhofer

PhD thesis, 2023

A Representative Study on Human Detection of Artificially Generated Media Across Countries.

Joel Frank, Franziska Herbert, Jonas Ricker, Lea Schönherr, Thorsten Eisenhofer, Asja Fischer, Markus Dürmuth, Thorsten Holz

CoRR, 2023

On the Limitations of Model Stealing with Uncertainty Quantification Models.

David Pape, Sina Däubener, Thorsten Eisenhofer, Antonio Emanuele Cinà, Lea Schönherr

CoRR, 2023

No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning.

Thorsten Eisenhofer, Erwin Quiring, Jonas Möller, Doreen Riepel, Thorsten Holz, Konrad Rieck

Proceedings of the 32nd USENIX Security Symposium, 2023

Drone Security and the Mysterious Case of DJI's DroneID.

Nico Schiller, Merlin Chlosta, Moritz Schloegel, Nils Bars, Thorsten Eisenhofer, Tobias Scharnowski, Felix Domke, Lea Schönherr, Thorsten Holz

Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

2022

Password-Authenticated Key Exchange from Group Actions.

Michel Abdalla, Thorsten Eisenhofer, Eike Kiltz, Sabrina Kunzweiler, Doreen Riepel

IACR Cryptol. ePrint Arch., 2022

Exploring accidental triggers of smart speakers.

Lea Schönherr, Maximilian Golla, Thorsten Eisenhofer, Jan Wiele, Dorothea Kolossa, Thorsten Holz

Comput. Speech Lang., 2022

Learned Systems Security.

Roei Schuster, Jin Peng Zhou, Thorsten Eisenhofer, Paul Grubbs, Nicolas Papernot

CoRR, 2022

Verifiable and Provably Secure Machine Unlearning.

Thorsten Eisenhofer, Doreen Riepel, Varun Chandrasekaran, Esha Ghosh, Olga Ohrimenko, Nicolas Papernot

CoRR, 2022

2021

Dompteur: Taming Audio Adversarial Examples.

Thorsten Eisenhofer, Lea Schönherr, Joel Frank, Lars Speckemeier, Dorothea Kolossa, Thorsten Holz

Proceedings of the 30th USENIX Security Symposium, 2021

2020

VENOMAVE: Clean-Label Poisoning Against Speech Recognition.

Hojjat Aghakhani, Thorsten Eisenhofer, Lea Schönherr, Dorothea Kolossa, Thorsten Holz, Christopher Kruegel, Giovanni Vigna

CoRR, 2020

Unacceptable, where is my privacy? Exploring Accidental Triggers of Smart Speakers.

Lea Schönherr, Maximilian Golla, Thorsten Eisenhofer, Jan Wiele, Dorothea Kolossa, Thorsten Holz

CoRR, 2020

Leveraging Frequency Analysis for Deep Fake Image Recognition.

Joel Frank, Thorsten Eisenhofer, Lea Schönherr, Asja Fischer, Dorothea Kolossa, Thorsten Holz

Proceedings of the 37th International Conference on Machine Learning, 2020

Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems.

Lea Schönherr, Thorsten Eisenhofer, Steffen Zeiler, Thorsten Holz, Dorothea Kolossa

Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020