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02/15/2023
Unsupervised Hashing via Similarity Distribution Calibration
Existing unsupervised hashing methods typically adopt a feature similari...
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08/01/2022
Large-Scale Product Retrieval with Weakly Supervised Representation Learning
Large-scale weakly supervised product retrieval is a practically useful ...
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09/29/2021
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective
A deep hashing model typically has two main learning objectives: to make...
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03/16/2021
Ternary Hashing
This paper proposes a novel ternary hash encoding for learning to hash m...
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02/08/2021
Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack
Ever since Machine Learning as a Service (MLaaS) emerges as a viable bus...
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11/27/2020
Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness
Deep neural networks (DNNs) are known to be prone to adversarial attacks...
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08/25/2020
Protect, Show, Attend and Tell: Image Captioning Model with Ownership Protection
By and large, existing Intellectual Property Right (IPR) protection on d...
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06/20/2020
Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks
This paper investigates capabilities of Privacy-Preserving Deep Learning...
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09/16/2019
