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2020 – today
- 2025
[j2]Roei Schuster, Jin Peng Zhou, Thorsten Eisenhofer, Paul Grubbs, Nicolas Papernot:
Learned-Database Systems Security. Trans. Mach. Learn. Res. 2025 (2025)- [c17]Erik Imgrund
, Thorsten Eisenhofer, Konrad Rieck:
Adversarial Observations in Weather Forecasting. CCS 2025: 3579-3590 - [c16]David Beste, Grégoire Menguy, Hossein Hajipour, Mario Fritz, Antonio Emanuele Cinà, Sébastien Bardin, Thorsten Holz, Thorsten Eisenhofer, Lea Schönherr:
Exploring the Potential of LLMs for Code Deobfuscation. DIMVA (1) 2025: 267-286 - [c15]Jonas Möller, Lukas Pirch, Felix Weissberg, Sebastian Baunsgaard, Thorsten Eisenhofer, Konrad Rieck:
Adversarial Inputs for Linear Algebra Backends. ICML 2025 - [c14]Thorsten Eisenhofer, Doreen Riepel, Varun Chandrasekaran, Esha Ghosh, Olga Ohrimenko, Nicolas Papernot:
Verifiable and Provably Secure Machine Unlearning. SaTML 2025: 479-496 - [c13]David Pape, Sina Mavali, Thorsten Eisenhofer, Lea Schönherr:
Prompt Obfuscation for Large Language Models. USENIX Security Symposium 2025: 2323-2342 - [c12]Felix Weissberg, Jan Malte Hilgefort, Steve Grogorick, Daniel Arp, Thorsten Eisenhofer, Martin Eisemann, Konrad Rieck:
Seeing Through: Analyzing and Attacking Virtual Backgrounds in Video Calls. USENIX Security Symposium 2025: 6561-6580 - [i15]Felix Weissberg, Jonas Möller, Tom Ganz, Erik Imgrund, Lukas Pirch, Lukas Seidel, Moritz Schloegel, Thorsten Eisenhofer, Konrad Rieck:
SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing. CoRR abs/2502.08341 (2025) - [i14]Erik Imgrund, Thorsten Eisenhofer, Konrad Rieck:
Adversarial Observations in Weather Forecasting. CoRR abs/2504.15942 (2025) - [i13]Felix Weissberg, Lukas Pirch, Erik Imgrund, Jonas Möller, Thorsten Eisenhofer, Konrad Rieck:
LLM-based Vulnerability Discovery through the Lens of Code Metrics. CoRR abs/2509.19117 (2025) - 2024
- [c11]Jonas Möller, Felix Weißberg, Lukas Pirch, Thorsten Eisenhofer, Konrad Rieck:
Cross-Language Differential Testing of JSON Parsers. AsiaCCS 2024 - [c10]Felix Weissberg, Jonas Möller, Tom Ganz, Erik Imgrund, Lukas Pirch, Lukas Seidel, Moritz Schloegel, Thorsten Eisenhofer, Konrad Rieck:
SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing. AsiaCCS 2024 - [c9]Joel Frank, Franziska Herbert, Jonas Ricker, Lea Schönherr, Thorsten Eisenhofer, Asja Fischer, Markus Dürmuth, Thorsten Holz:
A Representative Study on Human Detection of Artificially Generated Media Across Countries. SP 2024: 55-73 - [i12]Jonathan Evertz, Merlin Chlosta, Lea Schönherr, Thorsten Eisenhofer:
Whispers in the Machine: Confidentiality in LLM-integrated Systems. CoRR abs/2402.06922 (2024) - [i11]David Pape, Thorsten Eisenhofer, Lea Schönherr:
Prompt Obfuscation for Large Language Models. CoRR abs/2409.11026 (2024) - 2023
- [b1]Thorsten Eisenhofer:
Security of machine learning systems. Ruhr University Bochum, Germany, 2023 - [c8]David Pape, Sina Däubener, Thorsten Eisenhofer, Antonio Emanuele Cinà, Lea Schönherr:
On the Limitations of Model Stealing with Uncertainty Quantification Models. ESANN 2023 - [c7]Nico Schiller, Merlin Chlosta, Moritz Schloegel, Nils Bars, Thorsten Eisenhofer, Tobias Scharnowski, Felix Domke, Lea Schönherr, Thorsten Holz:
Drone Security and the Mysterious Case of DJI's DroneID. NDSS 2023 - [c6]Hojjat Aghakhani, Lea Schönherr, Thorsten Eisenhofer, Dorothea Kolossa, Thorsten Holz, Christopher Kruegel, Giovanni Vigna:
Venomave: Targeted Poisoning Against Speech Recognition. SaTML 2023: 404-417 - [c5]Thorsten Eisenhofer, Erwin Quiring, Jonas Möller, Doreen Riepel, Thorsten Holz, Konrad Rieck:
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning. USENIX Security Symposium 2023: 5109-5126 - [i10]Thorsten Eisenhofer, Erwin Quiring, Jonas Möller, Doreen Riepel, Thorsten Holz, Konrad Rieck:
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning. CoRR abs/2303.14443 (2023) - [i9]David Pape, Sina Däubener, Thorsten Eisenhofer, Antonio Emanuele Cinà, Lea Schönherr:
On the Limitations of Model Stealing with Uncertainty Quantification Models. CoRR abs/2305.05293 (2023) - [i8]Joel Frank, Franziska Herbert, Jonas Ricker, Lea Schönherr, Thorsten Eisenhofer, Asja Fischer, Markus Dürmuth, Thorsten Holz:
A Representative Study on Human Detection of Artificially Generated Media Across Countries. CoRR abs/2312.05976 (2023) - 2022
- [j1]Lea Schönherr, Maximilian Golla, Thorsten Eisenhofer, Jan Wiele, Dorothea Kolossa, Thorsten Holz:
Exploring accidental triggers of smart speakers. Comput. Speech Lang. 73: 101328 (2022) - [c4]Michel Abdalla, Thorsten Eisenhofer, Eike Kiltz, Sabrina Kunzweiler, Doreen Riepel:
Password-Authenticated Key Exchange from Group Actions. CRYPTO (2) 2022: 699-728 - [i7]Thorsten Eisenhofer, Doreen Riepel, Varun Chandrasekaran, Esha Ghosh, Olga Ohrimenko, Nicolas Papernot:
Verifiable and Provably Secure Machine Unlearning. CoRR abs/2210.09126 (2022) - [i6]Roei Schuster, Jin Peng Zhou, Thorsten Eisenhofer, Paul Grubbs, Nicolas Papernot:
Learned Systems Security. CoRR abs/2212.10318 (2022) - [i5]Michel Abdalla, Thorsten Eisenhofer, Eike Kiltz, Sabrina Kunzweiler, Doreen Riepel:
Password-Authenticated Key Exchange from Group Actions. IACR Cryptol. ePrint Arch. 2022: 770 (2022) - 2021
- [c3]Thorsten Eisenhofer, Lea Schönherr, Joel Frank, Lars Speckemeier, Dorothea Kolossa, Thorsten Holz:
Dompteur: Taming Audio Adversarial Examples. USENIX Security Symposium 2021: 2309-2326 - [i4]Thorsten Eisenhofer, Lea Schönherr, Joel Frank, Lars Speckemeier, Dorothea Kolossa, Thorsten Holz:
Dompteur: Taming Audio Adversarial Examples. CoRR abs/2102.05431 (2021) - 2020
- [c2]Lea Schönherr, Thorsten Eisenhofer, Steffen Zeiler, Thorsten Holz, Dorothea Kolossa:
Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems. ACSAC 2020: 843-855 - [c1]Joel Frank, Thorsten Eisenhofer, Lea Schönherr, Asja Fischer, Dorothea Kolossa, Thorsten Holz:
Leveraging Frequency Analysis for Deep Fake Image Recognition. ICML 2020: 3247-3258 - [i3]Joel Frank, Thorsten Eisenhofer, Lea Schönherr, Asja Fischer, Dorothea Kolossa, Thorsten Holz:
Leveraging Frequency Analysis for Deep Fake Image Recognition. CoRR abs/2003.08685 (2020) - [i2]Lea Schönherr, Maximilian Golla, Thorsten Eisenhofer, Jan Wiele, Dorothea Kolossa, Thorsten Holz:
Unacceptable, where is my privacy? Exploring Accidental Triggers of Smart Speakers. CoRR abs/2008.00508 (2020) - [i1]Hojjat Aghakhani, Thorsten Eisenhofer, Lea Schönherr, Dorothea Kolossa, Thorsten Holz, Christopher Kruegel, Giovanni Vigna:
VENOMAVE: Clean-Label Poisoning Against Speech Recognition. CoRR abs/2010.10682 (2020)
Coauthor Index
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