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06/29/2023
Multi-Scenario Ranking with Adaptive Feature Learning
Recently, Multi-Scenario Learning (MSL) is widely used in recommendation...
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09/14/2022
SEEK: model extraction attack against hybrid secure inference protocols
Security concerns about a machine learning model used in a prediction-as...
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08/15/2022
DHSA: Efficient Doubly Homomorphic Secure Aggregation for Cross-silo Federated Learning
Secure aggregation is widely used in horizontal Federated Learning (FL),...
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07/16/2022
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition
Most existing compound facial expression recognition (FER) methods rely ...
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06/23/2022
Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles
Due to the pivotal role of Recommender Systems (RS) in guiding customers...
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06/21/2022
Using EBGAN for Anomaly Intrusion Detection
As an active network security protection scheme, intrusion detection sys...
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06/14/2022
Turning a Curse Into a Blessing: Enabling Clean-Data-Free Defenses by Model Inversion
It is becoming increasingly common to utilize pre-trained models provide...
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05/09/2022
Visual Encoding and Debiasing for CTR Prediction
Extracting expressive visual features is crucial for accurate Click-Thro...
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04/15/2022
Just Fine-tune Twice: Selective Differential Privacy for Large Language Models
With the increasing adoption of NLP models in real-world products, it be...
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03/08/2022
Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes
Over the past few years, deep convolutional neural network-based methods...
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03/03/2022
Label-Only Model Inversion Attacks via Boundary Repulsion
Recent studies show that the state-of-the-art deep neural networks are v...
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01/18/2022
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework
Human emotions involve basic and compound facial expressions. However, c...
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11/24/2021
Learning to Refit for Convex Learning Problems
Machine learning (ML) models need to be frequently retrained on changing...
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11/24/2021
Efficient Secure Aggregation Based on SHPRG For Federated Learning
We propose a novel secure aggregation scheme based on seed-homomorphic p...
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10/07/2021
Adversarial Unlearning of Backdoors via Implicit Hypergradient
We propose a minimax formulation for removing backdoors from a given poi...
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07/14/2021
Zero-Round Active Learning
Active learning (AL) aims at reducing labeling effort by identifying the...
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04/23/2021
One-Round Active Learning
Active learning has been a main solution for reducing data labeling cost...
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02/13/2021
Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels
Online gaming is a multi-billion-dollar industry, which is growing faste...
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10/08/2020
Improved Techniques for Model Inversion Attacks
Model inversion (MI) attacks in the whitebox setting are aimed at recons...
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05/17/2020
Attacking Recommender Systems with Augmented User Profiles
Recommendation Systems (RS) have become an essential part of many online...
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02/07/2020
Adaptive Deep Metric Embeddings for Person Re-Identification under Occlusions
Person re-identification (ReID) under occlusions is a challenging proble...
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02/07/2020
Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation
In recent years, deep learning based visual tracking methods have obtain...
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02/06/2020
Joint Deep Learning of Facial Expression Synthesis and Recognition
Recently, deep learning based facial expression recognition (FER) method...
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03/27/2019
The Global Convergence Analysis of the Bat Algorithm Using a Markovian Framework and Dynamical System Theory
The bat algorithm (BA) has been shown to be effective to solve a wider r...
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05/03/2018
Multi-task Learning of Cascaded CNN for Facial Attribute Classification
Recently, facial attribute classification (FAC) has attracted significan...
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05/03/2018
Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification
Deep Neural Network (DNN) has recently achieved outstanding performance ...
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03/25/2016
Quadratic Projection Based Feature Extraction with Its Application to Biometric Recognition
This paper presents a novel quadratic projection based feature extractio...
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12/13/2015
