Thorsten Eisenhofer

37 papers A* 9A 3B 1Journal 19Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Hardware-Triggered Backdoors.
CoRR
Jonas Möller, Erik Imgrund, Thorsten Eisenhofer, Konrad Rieck
2025 A* conf
Adversarial Inputs for Linear Algebra Backends.
ICML
Jonas Möller, Lukas Pirch, Felix Weissberg, Sebastian Baunsgaard, Thorsten Eisenhofer, Konrad Rieck
2025 A* conf
Adversarial Observations in Weather Forecasting.
CCS
Erik Imgrund, Thorsten Eisenhofer, Konrad Rieck
2025 J jnl
Adversarial Observations in Weather Forecasting.
CoRR
Erik Imgrund, Thorsten Eisenhofer, Konrad Rieck
2025 J jnl
Chasing Shadows: Pitfalls in LLM Security Research.
CoRR
Jonathan Evertz, Niklas Risse, Nicolai Neuer, Andreas Müller, Philipp Normann, Gaetano Sapia, Srishti Gupta, David Pape, Soumya Shaw, Devansh Srivastav, Christian Wressnegger, Erwin Quiring, Thorsten Eisenhofer, Daniel Arp, Lea Schönherr
2025 — conf
Exploring the Potential of LLMs for Code Deobfuscation.
DIMVA (1)
David Beste, Grégoire Menguy, Hossein Hajipour, Mario Fritz, Antonio Emanuele Cinà, Sébastien Bardin, Thorsten Holz, Thorsten Eisenhofer, Lea Schönherr
2025 J jnl
LLM-based Vulnerability Discovery through the Lens of Code Metrics.
CoRR
Felix Weissberg, Lukas Pirch, Erik Imgrund, Jonas Möller, Thorsten Eisenhofer, Konrad Rieck
2025 J jnl
Learned-Database Systems Security.
Trans. Mach. Learn. Res.
Roei Schuster, Jin Peng Zhou, Thorsten Eisenhofer, Paul Grubbs, Nicolas Papernot
2025 A* conf
Prompt Obfuscation for Large Language Models.
USENIX Security Symposium
David Pape, Sina Mavali, Thorsten Eisenhofer, Lea Schönherr
2025 A* conf
Seeing Through: Analyzing and Attacking Virtual Backgrounds in Video Calls.
USENIX Security Symposium
Felix Weissberg, Jan Malte Hilgefort, Steve Grogorick, Daniel Arp, Thorsten Eisenhofer, Martin Eisemann, Konrad Rieck
2025 J jnl
SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing.
CoRR
Felix Weissberg, Jonas Möller, Tom Ganz, Erik Imgrund, Lukas Pirch, Lukas Seidel, Moritz Schloegel, Thorsten Eisenhofer, Konrad Rieck
2025 — conf
Verifiable and Provably Secure Machine Unlearning.
SaTML
Thorsten Eisenhofer, Doreen Riepel, Varun Chandrasekaran, Esha Ghosh, Olga Ohrimenko, Nicolas Papernot
2024 A* conf
A Representative Study on Human Detection of Artificially Generated Media Across Countries.
SP
Joel Frank, Franziska Herbert, Jonas Ricker, Lea Schönherr, Thorsten Eisenhofer, Asja Fischer, Markus Dürmuth, Thorsten Holz
2024 A conf
Cross-Language Differential Testing of JSON Parsers.
AsiaCCS
Jonas Möller, Felix Weißberg, Lukas Pirch, Thorsten Eisenhofer, Konrad Rieck
2024 J jnl
Prompt Obfuscation for Large Language Models.
CoRR
David Pape, Thorsten Eisenhofer, Lea Schönherr
2024 A conf
SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing.
AsiaCCS
Felix Weissberg, Jonas Möller, Tom Ganz, Erik Imgrund, Lukas Pirch, Lukas Seidel, Moritz Schloegel, Thorsten Eisenhofer, Konrad Rieck
2024 J jnl
Whispers in the Machine: Confidentiality in LLM-integrated Systems.
CoRR
Jonathan Evertz, Merlin Chlosta, Lea Schönherr, Thorsten Eisenhofer
2023 J jnl
A Representative Study on Human Detection of Artificially Generated Media Across Countries.
CoRR
Joel Frank, Franziska Herbert, Jonas Ricker, Lea Schönherr, Thorsten Eisenhofer, Asja Fischer, Markus Dürmuth, Thorsten Holz
2023 A* conf
Drone Security and the Mysterious Case of DJI's DroneID.
NDSS
Nico Schiller, Merlin Chlosta, Moritz Schloegel, Nils Bars, Thorsten Eisenhofer, Tobias Scharnowski, Felix Domke, Lea Schönherr, Thorsten Holz
2023 A* conf
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning.
USENIX Security Symposium
Thorsten Eisenhofer, Erwin Quiring, Jonas Möller, Doreen Riepel, Thorsten Holz, Konrad Rieck
2023 J jnl
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning.
CoRR
Thorsten Eisenhofer, Erwin Quiring, Jonas Möller, Doreen Riepel, Thorsten Holz, Konrad Rieck
2023 B conf
On the Limitations of Model Stealing with Uncertainty Quantification Models.
ESANN
David Pape, Sina Däubener, Thorsten Eisenhofer, Antonio Emanuele Cinà, Lea Schönherr
2023 J jnl
On the Limitations of Model Stealing with Uncertainty Quantification Models.
CoRR
David Pape, Sina Däubener, Thorsten Eisenhofer, Antonio Emanuele Cinà, Lea Schönherr
2023 — —
Security of machine learning systems.
Thorsten Eisenhofer
2023 — conf
Venomave: Targeted Poisoning Against Speech Recognition.
SaTML
Hojjat Aghakhani, Lea Schönherr, Thorsten Eisenhofer, Dorothea Kolossa, Thorsten Holz, Christopher Kruegel, Giovanni Vigna
2022 J jnl
Exploring accidental triggers of smart speakers.
Comput. Speech Lang.
Lea Schönherr, Maximilian Golla, Thorsten Eisenhofer, Jan Wiele, Dorothea Kolossa, Thorsten Holz
2022 J jnl
Learned Systems Security.
CoRR
Roei Schuster, Jin Peng Zhou, Thorsten Eisenhofer, Paul Grubbs, Nicolas Papernot
2022 — conf
Password-Authenticated Key Exchange from Group Actions.
CRYPTO (2)
Michel Abdalla, Thorsten Eisenhofer, Eike Kiltz, Sabrina Kunzweiler, Doreen Riepel
2022 J jnl
Password-Authenticated Key Exchange from Group Actions.
IACR Cryptol. ePrint Arch.
Michel Abdalla, Thorsten Eisenhofer, Eike Kiltz, Sabrina Kunzweiler, Doreen Riepel
2022 J jnl
Verifiable and Provably Secure Machine Unlearning.
CoRR
Thorsten Eisenhofer, Doreen Riepel, Varun Chandrasekaran, Esha Ghosh, Olga Ohrimenko, Nicolas Papernot
2021 A* conf
Dompteur: Taming Audio Adversarial Examples.
USENIX Security Symposium
Thorsten Eisenhofer, Lea Schönherr, Joel Frank, Lars Speckemeier, Dorothea Kolossa, Thorsten Holz
2021 J jnl
Dompteur: Taming Audio Adversarial Examples.
CoRR
Thorsten Eisenhofer, Lea Schönherr, Joel Frank, Lars Speckemeier, Dorothea Kolossa, Thorsten Holz
2020 A conf
Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems.
ACSAC
Lea Schönherr, Thorsten Eisenhofer, Steffen Zeiler, Thorsten Holz, Dorothea Kolossa
2020 A* conf
Leveraging Frequency Analysis for Deep Fake Image Recognition.
ICML
Joel Frank, Thorsten Eisenhofer, Lea Schönherr, Asja Fischer, Dorothea Kolossa, Thorsten Holz
2020 J jnl
Leveraging Frequency Analysis for Deep Fake Image Recognition.
CoRR
Joel Frank, Thorsten Eisenhofer, Lea Schönherr, Asja Fischer, Dorothea Kolossa, Thorsten Holz
2020 J jnl
Unacceptable, where is my privacy? Exploring Accidental Triggers of Smart Speakers.
CoRR
Lea Schönherr, Maximilian Golla, Thorsten Eisenhofer, Jan Wiele, Dorothea Kolossa, Thorsten Holz
2020 J jnl
VENOMAVE: Clean-Label Poisoning Against Speech Recognition.
CoRR
Hojjat Aghakhani, Thorsten Eisenhofer, Lea Schönherr, Dorothea Kolossa, Thorsten Holz, Christopher Kruegel, Giovanni Vigna