Schönherr, Lea

9 publications

ICLR 2025 $\sigma$-Zero: Gradient-Based Optimization of $\ell_0$-Norm Adversarial Examples Antonio Emanuele Cinà, Francesco Villani, Maura Pintor, Lea Schönherr, Battista Biggio, Marcello Pelillo

TMLR 2025 Rethinking Robustness in Machine Learning: A Posterior Agreement Approach João B. S. Carvalho, Víctor Jiménez Rodríguez, Alessandro Torcinovich, Antonio Emanuele Cinà, Carlos Cotrini, Lea Schönherr, Joachim M. Buhmann

ICMLW 2024 BUILD: Buffer-Free Incremental Learning with OOD Detection for the Wild Srishti Gupta, Daniele Angioni, Lea Schönherr, Ambra Demontis, Battista Biggio

NeurIPS 2024 Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad, Lea Schönherr, Mario Fritz

NeurIPS 2024 Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition Edoardo Debenedetti, Javier Rando, Daniel Paleka, Fineas Silaghi, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella-Beguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr

ICMLW 2024 Generated Audio Detectors Are Not Robust in Real-World Conditions Soumya Shaw, Ben Nassi, Lea Schönherr

ICLRW 2024 LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Game Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad, Lea Schönherr, Mario Fritz

ICMLW 2023 On the Limitations of Model Stealing with Uncertainty Quantification Models David Pape, Sina Däubener, Thorsten Eisenhofer, Antonio Emanuele Cinà, Lea Schönherr

ICML 2020 Leveraging Frequency Analysis for Deep Fake Image Recognition Joel Frank, Thorsten Eisenhofer, Lea Schönherr, Asja Fischer, Dorothea Kolossa, Thorsten Holz