Penny Chong

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

Alexander Binder, Yuval Elovici, Penny Chong, 2020, ArXiv.

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

Alexander Binder, Yuval Elovici, Penny Chong, 2018, 2018 IEEE Security and Privacy Workshops (SPW).

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

Alexander Binder, Penny Chong, Yuval Elovici, 2020, ArXiv.

Pedestrian Detection and Tracking in Surveillance Video

Penny Chong, 2016 .

Memory snapshot dataset of a compromised host with malware using obfuscation evasion techniques

Yuval Elovici, Shafiq Ul Rehman, Penny Chong, 2019, Data in brief.

A novel pedestrian detection and tracking with boosted HOG classifiers and Kalman filter

Yong Haur Tay, Penny Chong, 2016, 2016 IEEE Student Conference on Research and Development (SCOReD).

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

Yuval Elovici, Penny Chong, Alexander Binder, 2020, IEEE Transactions on Information Forensics and Security.

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

Alexander Binder, Marius Kloft, Penny Chong, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

ImageCLEF 2017: ImageCLEF Tuberculosis Task - the SGEast Submission

Alexander Binder, Penny Chong, Yi Xiang Marcus Tan, 2017, CLEF.

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

Yuval Elovici, Penny Chong, Yi Xiang Marcus Tan, 2021, ArXiv.