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07/17/2023
A Novel Reversible Data Hiding Scheme Based on Asymmetric Numeral Systems
Reversible data hiding (RDH) has been extensively studied in the field o...
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07/03/2023
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics
In today's competitive and fast-evolving business environment, it is a c...
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05/31/2023
A Survey on Large Language Models for Recommendation
Large Language Models (LLMs) have emerged as powerful tools in the field...
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10/24/2021
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness
As one of the most popular generative models, Variational Autoencoder (V...
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02/23/2021
Adversarial Examples Detection beyond Image Space
Deep neural networks have been proved that they are vulnerable to advers...
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01/01/2021
Adam revisited: a weighted past gradients perspective
Adaptive learning rate methods have been successfully applied in many fi...
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12/08/2020
Perceptual Robust Hashing for Color Images with Canonical Correlation Analysis
In this paper, a novel perceptual image hashing scheme for color images ...
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10/30/2020
Statistical Analysis of Signal-Dependent Noise: Application in Blind Localization of Image Splicing Forgery
Visual noise is often regarded as a disturbance in image quality, wherea...
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10/26/2020
GreedyFool: Distortion-Aware Sparse Adversarial Attack
Modern deep neural networks(DNNs) are vulnerable to adversarial samples....
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02/28/2020
A Survey on Knowledge Graph-Based Recommender Systems
To solve the information explosion problem and enhance user experience i...
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02/23/2020
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback
The recent development of online recommender systems has a focus on coll...
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04/11/2019
Information Leakage in Encrypted Deduplication via Frequency Analysis: Attacks and Defenses
Encrypted deduplication combines encryption and deduplication to simulta...
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12/21/2018
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach
The wide spread use of online recruitment services has led to informatio...
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03/08/2018