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Thorsten Eisenhofer
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Year
Leveraging Frequency Analysis for Deep Fake Image Recognition
J Frank, T Eisenhofer, L Schönherr, A Fischer, D Kolossa, T Holz
International Conference on Machine Learning (ICML), 2020
3902020
Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems
L Schönherr, T Eisenhofer, S Zeiler, T Holz, D Kolossa
Annual Computer Security Applications Conference (ACSAC), 2020
66*2020
Exploring Accidental Triggers of Smart Speakers
L Schönherr, M Golla, T Eisenhofer, J Wiele, D Kolossa, T Holz
Computer Speech & Language (CSL), 2022
59*2022
Dompteur: Taming Audio Adversarial Examples
T Eisenhofer, L Schönherr, J Frank, L Speckemeier, D Kolossa, T Holz
USENIX Security Symposium, 2021
312021
VENOMAVE: Targeted Poisoning Against Speech Recognition
H Aghakhani, L Schönherr, T Eisenhofer, D Kolossa, T Holz, C Kruegel, ...
Conference on Secure and Trustworthy Machine Learning (SaTML), 2023
28*2023
Password-Authenticated Key Exchange from Group Actions
M Abdalla, T Eisenhofer, E Kiltz, S Kunzweiler, D Riepel
Annual International Cryptology Conference (CRYPTO), 2022
222022
Drone Security and the Mysterious Case of DJI's DroneID.
N Schiller, M Chlosta, M Schloegel, N Bars, T Eisenhofer, T Scharnowski, ...
NDSS, 2023
122023
Verifiable and Provably Secure Machine Unlearning
T Eisenhofer, D Riepel, V Chandrasekaran, E Ghosh, O Ohrimenko, ...
Computing Research Repository (CoRR), 2022
112022
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning
T Eisenhofer, E Quiring, J Möller, D Riepel, T Holz, K Rieck
USENIX Security Symposium, 2023
32023
Learned Systems Security
R Schuster, JP Zhou, T Eisenhofer, P Grubbs, N Papernot
Computing Research Repository (CoRR), 2022
32022
On the Limitations of Model Stealing with Uncertainty Quantification Models
D Pape, S Däubener, T Eisenhofer, AE Cinà, L Schönherr
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2023
22023
Whispers in the Machine: Confidentiality in LLM-integrated Systems
J Evertz, M Chlosta, L Schönherr, T Eisenhofer
Computing Research Repository (CoRR), 2024
12024
A Representative Study on Human Detection of Artificially Generated Media Across Countries
J Frank, F Herbert, J Ricker, L Schönherr, T Eisenhofer, A Fischer, ...
Symposium on Security and Privacy (SP), 2024
12024
Security of Machine Learning Systems
T Eisenhofer
2023
Non-forgetting Classifiers
L Schönherr, T Eisenhofer, M Pintor, B Biggio
Security of Machine Learning (Dagstuhl Seminar 22281), 2022
2022
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Articles 1–15