Modas, Apostolos
- SparseFool: a few pixels make a big difference
2018/11/06 by Modas, Apostolos, Moosavi-Dezfooli, Seyed-Mohsen, Frossard, Pascal · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness
2020/10/19 by Ortiz-Jimenez, Guillermo, Modas, Apostolos, Moosavi-Dezfooli, Seyed-Mohsen +1 · 2 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Ethical Considerations for Responsible Data Curation
2023/02/07 by Andrews, Jerone T. A., Zhao, Dora, Thong, William +3 · 2 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes
2024/07/04 by Yusuke Hirota, Hirota, Yusuke, Jerone T. A. Andrew +11 · 3 citations
Social Sciences · #Computational and Text Analysis Methods #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Qualitative Comparative Analysis Research
- A neural anisotropic view of underspecification in deep learning
2021/04/29 by Guillermo Ortiz-Jiménez, Itamar Salazar-Reque, Ortiz-Jimenez, Guillermo +7 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
- Neural Anisotropy Directions
2020/06/17 by Guillermo Ortiz-Jiménez, Apostolos Modas, Ortiz-Jimenez, Guillermo +5 · 1 citation
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)