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08/31/2023
AntM^2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction
Click-through rate (CTR) prediction is a crucial issue in recommendation...
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03/27/2023
Towards Open Temporal Graph Neural Networks
Graph neural networks (GNNs) for temporal graphs have recently attracted...
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05/28/2022
BadDet: Backdoor Attacks on Object Detection
Deep learning models have been deployed in numerous real-world applicati...
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06/29/2021
Improving Transferability of Adversarial Patches on Face Recognition with Generative Models
Face recognition is greatly improved by deep convolutional neural networ...
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06/10/2021
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation
Boundary based blackbox attack has been recognized as practical and effe...
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02/25/2021
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks
Gradient estimation and vector space projection have been studied as two...
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05/28/2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack
Machine learning (ML), especially deep neural networks (DNNs) have been ...
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03/03/2020
Data-Free Adversarial Perturbations for Practical Black-Box Attack
Neural networks are vulnerable to adversarial examples, which are malici...
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10/05/2019
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics
Bayesian deep learning is recently regarded as an intrinsic way to chara...
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09/27/2019
Pruning from Scratch
Network pruning is an important research field aiming at reducing comput...
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08/21/2019
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
In this paper, we aim to understand the generalization properties of gen...
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05/30/2019
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification
Recently, deep convolutional neural networks (CNNs) have achieved great ...
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09/07/2018
Infinite Curriculum Learning for Efficiently Detecting Gastric Ulcers in WCE Images
The Wireless Capsule Endoscopy (WCE) is becoming a popular way of screen...
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06/30/2018
G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification
Pathological glomerulus classification plays a key role in the diagnosis...
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10/18/2007