Ruth Fong

1. Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
   2020/04/15 by Miles Brundage, Brundage, Miles, Shahar Avin +123 · 2 voices · 27 citations
   Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Ethics and Social Impacts of AI #Law, AI, and Intellectual Property #cs.CY
2. Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters\n in Deep Neural Networks
   2018/01/10 by Ruth Fong, Andrea Vedaldi, Fong, Ruth +1 · 5 citations
   Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Machine Learning in Materials Science
3. Overlooked factors in concept-based explanations: Dataset choice, concept learnability, and human capability
   2022/07/20 by V. Ramaswamy, Sunnie S. Y. Kim, Ramaswamy, Vikram V. +5 · 7 citations
   Computer Science · Materials Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning in Materials Science
4. Gender Artifacts in Visual Datasets
   2022/06/18 by Nicole Meister, Dora Zhao, Meister, Nicole +9 · 5 citations
   Computer Science · #Human Pose and Action Recognition #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications
5. ELUDE: Generating interpretable explanations via a decomposition into labelled and unlabelled features
   2022/06/15 by V. Ramaswamy, Ramaswamy, Vikram V., Sunnie S. Y. Kim +7 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
6. UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs
   2023/03/27 by V. Ramaswamy, Sunnie S. Y. Kim, Ramaswamy, Vikram V. +5 · 1 citation
   Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning in Materials Science