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Penny Chong
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2020 – today
- 2024
- [i5]Achintya Kundu, Fabian Lim, Aaron Chew, Laura Wynter, Penny Chong, Rhui Dih Lee:
Efficiently Distilling LLMs for Edge Applications. CoRR abs/2404.01353 (2024) - 2023
- [c4]Penny Chong, Laura Wynter, Bharathi Chaudhury:
Multimodal Deep Learning with Boosted Trees for Edge Inference. ICDM (Workshops) 2023: 99-108 - 2022
- [j2]Penny Chong
, Ngai-Man Cheung
, Yuval Elovici
, Alexander Binder
:
Toward Scalable and Unified Example-Based Explanation and Outlier Detection. IEEE Trans. Image Process. 31: 525-540 (2022) - 2021
- [i4]Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun, Ngai-Man Cheung, Yuval Elovici, Alexander Binder:
Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples. CoRR abs/2110.12357 (2021) - 2020
- [j1]Penny Chong, Yuval Elovici, Alexander Binder
:
User Authentication Based on Mouse Dynamics Using Deep Neural Networks: A Comprehensive Study. IEEE Trans. Inf. Forensics Secur. 15: 1086-1101 (2020) - [c3]Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder
:
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. IJCNN 2020: 1-9 - [i3]Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder
:
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. CoRR abs/2001.08873 (2020) - [i2]Penny Chong, Yuval Elovici, Alexander Binder:
Deja vu from the SVM Era: Example-based Explanations with Outlier Detection. CoRR abs/2011.05577 (2020) - [i1]Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun, Yuval Elovici, Alexander Binder:
Detection of Adversarial Supports in Few-shot Classifiers Using Feature Preserving Autoencoders and Self-Similarity. CoRR abs/2012.06330 (2020)
2010 – 2019
- 2018
- [c2]Penny Chong, Yi Xiang Marcus Tan, Juan Guarnizo, Yuval Elovici, Alexander Binder
:
Mouse Authentication Without the Temporal Aspect - What Does a 2D-CNN Learn? IEEE Symposium on Security and Privacy Workshops 2018: 15-21 - 2017
- [c1]Jiamei Sun, Penny Chong, Yi Xiang Marcus Tan, Alexander Binder:
ImageCLEF 2017: ImageCLEF Tuberculosis Task - the SGEast Submission. CLEF (Working Notes) 2017
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last updated on 2024-05-09 23:57 CEST by the dblp team
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