James Bailey
Publications by Year
Research Areas
Data Management and Algorithms, Anomaly Detection Techniques and Applications, Advanced Database Systems and Queries, Data Mining Algorithms and Applications, Adversarial Robustness in Machine Learning
Most-Cited Works
- → Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance(2010)1,860 cited
- → Information theoretic measures for clusterings comparison(2009)908 cited
- → Symmetric Cross Entropy for Robust Learning With Noisy Labels(2019)903 cited
- → Understanding adversarial attacks on deep learning based medical image analysis systems(2020)514 cited
- → Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks(2020)435 cited
- Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality(2018)
- → Iterative Learning with Open-set Noisy Labels(2018)313 cited
- Improving Adversarial Robustness Requires Revisiting Misclassified Examples(2020)
- → Clean-Label Backdoor Attacks on Video Recognition Models(2020)221 cited
- → Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles(2020)218 cited