David Pape

11 papers A* 2B 1Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Unknown Unknowns: Why Hidden Intentions in LLMs Evade Detection.
CoRR
Devansh Srivastav, David Pape, Lea Schönherr
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
Monitoring Robustness and Individual Fairness.
KDD (2)
Ashutosh Gupta, Thomas A. Henzinger, Konstantin Kueffner, Kaushik Mallik, David Pape
2025 J jnl
Monitoring Robustness and Individual Fairness.
CoRR
Ashutosh Gupta, Thomas A. Henzinger, Konstantin Kueffner, Kaushik Mallik, David Pape
2025 A* conf
Prompt Obfuscation for Large Language Models.
USENIX Security Symposium
David Pape, Sina Mavali, Thorsten Eisenhofer, Lea Schönherr
2024 J jnl
Fake It Until You Break It: On the Adversarial Robustness of AI-generated Image Detectors.
CoRR
Sina Mavali, Jonas Ricker, David Pape, Yash Sharma, Asja Fischer, Lea Schönherr
2024 J jnl
Prompt Obfuscation for Large Language Models.
CoRR
David Pape, Thorsten Eisenhofer, Lea Schönherr
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
2022 A* conf
Generating Simple Directed Social Network Graphs for Information Spreading.
WWW
Christoph Schweimer, Christine Gfrerer, Florian Lugstein, David Pape, Jan A. Velimsky, Robert Elsässer, Bernhard C. Geiger
2022 J jnl
Generating Simple Directed Social Network Graphs for Information Spreading.
CoRR
Christoph Schweimer, Christine Gfrerer, Florian Lugstein, David Pape, Jan A. Velimsky, Robert Elsässer, Bernhard C. Geiger