Penny Chong

According to our database, Penny Chong authored at least 9 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multimodal Deep Learning with Boosted Trees for Edge Inference.

Penny Chong, Laura Wynter, Bharathi Chaudhury

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Toward Scalable and Unified Example-Based Explanation and Outlier Detection.

Penny Chong, Ngai-Man Cheung, Yuval Elovici, Alexander Binder

IEEE Trans. Image Process., 2022

2021

Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples.

Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun, Ngai-Man Cheung, Yuval Elovici, Alexander Binder

CoRR, 2021

2020

User Authentication Based on Mouse Dynamics Using Deep Neural Networks: A Comprehensive Study.

Penny Chong, Yuval Elovici, Alexander Binder

IEEE Trans. Inf. Forensics Secur., 2020

Detection of Adversarial Supports in Few-shot Classifiers Using Feature Preserving Autoencoders and Self-Similarity.

Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun, Yuval Elovici, Alexander Binder

CoRR, 2020

Deja vu from the SVM Era: Example-based Explanations with Outlier Detection.

Penny Chong, Yuval Elovici, Alexander Binder

CoRR, 2020

Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification.

Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018

Mouse Authentication Without the Temporal Aspect - What Does a 2D-CNN Learn?

Penny Chong, Yi Xiang Marcus Tan, Juan Guarnizo, Yuval Elovici, Alexander Binder

Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018

2017

ImageCLEF 2017: ImageCLEF Tuberculosis Task - the SGEast Submission.

Jiamei Sun, Penny Chong, Yi Xiang Marcus Tan, Alexander Binder

Proceedings of the Working Notes of CLEF 2017, 2017