Xingjun Ma
The University of Melbourne(AU)Fudan University(CN)
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications, Advanced Neural Network Applications, Privacy-Preserving Technologies in Data, Advanced Malware Detection Techniques
Most-Cited Works
- → 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
- → Privacy and Robustness in Federated Learning: Attacks and Defenses(2022)437 cited
- → Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks(2020)435 cited
- Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality(2018)
- → WildDeepfake(2020)376 cited
- → 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