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One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective


Sep 29, 2021
Jiun Tian Hoe, Kam Woh Ng, Tianyu Zhang, Chee Seng Chan, Yi-Zhe Song, Tao Xiang

* Accepted at NeurIPS 2021 

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Ternary Hashing


Mar 19, 2021
Chang Liu, Lixin Fan, Kam Woh Ng, Yilun Jin, Ce Ju, Tianyu Zhang, Chee Seng Chan, Qiang Yang


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Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack


Mar 01, 2021
Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang

* Accepted at CVPR2021 

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Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness


Nov 27, 2020
Yilun Jin, Lixin Fan, Kam Woh Ng, Ce Ju, Qiang Yang


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Protect, Show, Attend and Tell: Image Captioning Model with Ownership Protection


Aug 25, 2020
Jian Han Lim, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang

* 9 pages 

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Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks


Jun 23, 2020
Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang

* under review, 36 pages (updated Eq. 3 and Fig. 8) 

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Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks


Sep 21, 2019
Lixin Fan, Kam Woh Ng, Chee Seng Chan

* This paper is accepted by NeurIPS 2019; Our code is available at https://github.com/kamwoh/DeepIPR. This version updates Figure 2&5 and email of first author 

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