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M. L. Fischer

  1. Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation
    2024/02/07 by Luca Beurer-Kellner, Beurer-Kellner, Luca, M. L. Fischer +3 · 16 citations
    Computer Science · #Digital Rights Management and Security #Mathematics, Computing, and Information Processing #Library Science and Information Systems
  2. Certified Training: Small Boxes are All You Need
    2022/10/10 by Mark Niklas Müller, Müller, Mark Niklas, Franziska Eckert +5 · 5 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Fault Detection and Control Systems
  3. Controlled Text Generation via Language Model Arithmetic
    2023/11/24 by Jasper Dekoninck, M. L. Fischer, Dekoninck, Jasper +5 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  4. Private and Reliable Neural Network Inference
    2022/10/27 by Nikola Jovanović, Jovanović, Nikola, M. L. Fischer +5 · 3 citations
    Computer Science · #Privacy-Preserving Technologies in Data #Adversarial Robustness in Machine Learning #Cryptography and Data Security
  5. Prompt Tuning for Parameter-efficient Medical Image Segmentation
    2022/11/16 by M. L. Fischer, Fischer, Marc, Alexander Bartler +3 · 3 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging
  6. Efficient Certified Training and Robustness Verification of Neural ODEs
    2023/03/09 by Mustafa Zeqiri, Mark Niklas Müller, Zeqiri, Mustafa +5 · 1 citation
    Computer Science · Materials Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Model Reduction and Neural Networks