Leemann, Tobias

12 publications

TMLR 2025 Attention Mechanisms Don’t Learn Additive Models: Rethinking Feature Importance for Transformers Tobias Leemann, Alina Fastowski, Felix Pfeiffer, Gjergji Kasneci

ICLR 2025 Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation Tobias Leemann, Periklis Petridis, Giuseppe Vietri, Dionysis Manousakas, Aaron Roth, Sergul Aydore

AAAI 2024 I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data Tobias Leemann, Martin Pawelczyk, Christian Thomas Eberle, Gjergji Kasneci

ICMLW 2024 Is My Data Safe? Predicting Instance-Level Membership Inference Success for White-Box and Black-Box Attacks Tobias Leemann, Bardh Prenkaj, Gjergji Kasneci

NeurIPSW 2023 Caution to the Exemplars: On the Intriguing Effects of Example Choice on Human Trust in XAI Tobias Leemann, Yao Rong, Thai-Trang Nguyen, Enkelejda Kasneci, Gjergji Kasneci

NeurIPS 2023 Gaussian Membership Inference Privacy Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci

ICLR 2023 Language Models Are Realistic Tabular Data Generators Vadim Borisov, Kathrin Sessler, Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci

ICLR 2023 On the Trade-Off Between Actionable Explanations and the Right to Be Forgotten Martin Pawelczyk, Tobias Leemann, Asia Biega, Gjergji Kasneci

UAI 2023 When Are Post-Hoc Conceptual Explanations Identifiable? Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci

ICML 2022 A Consistent and Efficient Evaluation Strategy for Attribution Methods Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci

ICLRW 2022 Coherence Evaluation of Visual Concepts with Objects and Language Tobias Leemann, Yao Rong, Stefan Kraft, Enkelejda Kasneci, Gjergji Kasneci

NeurIPSW 2022 On the Trade-Off Between Actionable Explanations and the Right to Be Forgotten Martin Pawelczyk, Tobias Leemann, Asia Biega, Gjergji Kasneci