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Jonathan Hayase

  1. Scalable Extraction of Training Data from (Production) Language Models
    2023/11/28 by Milad Nasr, Nicholas Carlini, Nasr, Milad +17 · 21 voices · 66 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Topic Modeling #Explainable Artificial Intelligence (XAI)
  2. Stealing Part of a Production Language Model
    2024/03/11 by Nicholas Carlini, Daniel Paleka, Carlini, Nicholas +26 · 11 voices · 26 citations
    Computer Science · #Natural Language Processing Techniques #cs.CR
  3. Git Re-Basin: Merging Models modulo Permutation Symmetries
    2022/09/11 by Samuel Ainsworth, Samuel K. Ainsworth, Jonathan Hayase +5 · 3 voices · 48 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Stochastic Gradient Optimization Techniques
  4. DataComp: In search of the next generation of multimodal datasets
    2023/04/27 by Samir Yitzhak Gadre, Gadre, Samir Yitzhak, Gabriel Ilharco +65 · 78 citations
    Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning in Healthcare #Topic Modeling
  5. SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
    2021/04/22 by Jonathan Hayase, Weihao Kong, Hayase, Jonathan +5 · 10 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
  6. PLeaS -- Merging Models with Permutations and Least Squares
    2024/07/02 by Anshul Nasery, Jonathan Hayase, Nasery, Anshul +5 · 4 citations
    Business, Management and Accounting · #Business Strategy and Innovation #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data?
    2024/07/23 by Jonathan Hayase, Alisa Liu, Hayase, Jonathan +7 · 2 voices · 2 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #cs.CL #cs.LG
  8. Label Poisoning is All You Need
    2023/10/29 by Rishi D. Jha, Jha, Rishi D., Jonathan Hayase +3 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #Digital Media Forensic Detection #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations
    2025/06/23 by Brian Siyuan Zheng, Alisa Liu, Zheng, Brian Siyuan +9 · 2 voices · 5 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.CL
  10. Zonotope Domains for Lagrangian Neural Network Verification
    2022/10/14 by Matthew J. Jordan, Jordan, Matt, Jonathan Hayase +5 · 1 citation
    Computer Science · Engineering · Materials Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science