Rauschmayr, Nathalie

7 publications

NeurIPS 2025 Gatekeeper: Improving Model Cascades Through Confidence Tuning Stephan Rabanser, Nathalie Rauschmayr, Achin Kulshrestha, Petra Poklukar, Wittawat Jitkrittum, Sean Augenstein, Congchao Wang, Federico Tombari

ICML 2025 Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence Shangbin Feng, Zifeng Wang, Yike Wang, Sayna Ebrahimi, Hamid Palangi, Lesly Miculicich, Achin Kulshrestha, Nathalie Rauschmayr, Yejin Choi, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister

CVPR 2025 Test-Time Visual In-Context Tuning Jiahao Xie, Alessio Tonioni, Nathalie Rauschmayr, Federico Tombari, Bernt Schiele

ICML 2024 Extracting Training Data from Document-Based VQA Models Francesco Pinto, Nathalie Rauschmayr, Florian Tramèr, Philip Torr, Federico Tombari

ICMLW 2024 Extracting Training Data from Document-Based VQA Models Francesco Pinto, Nathalie Rauschmayr, Florian Tramèr, Philip Torr, Federico Tombari

ICML 2022 Generating Distributional Adversarial Examples to Evade Statistical Detectors Yigitcan Kaya, Muhammad Bilal Zafar, Sergul Aydore, Nathalie Rauschmayr, Krishnaram Kenthapadi

NeurIPSW 2021 Defuse: Training More Robust Models Through Creation and Correction of Novel Model Errors Dylan Z Slack, Nathalie Rauschmayr, Krishnaram Kenthapadi