activity
20182023
most citedGeneralization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection

25 citations · 59 across the 13 of their papers we have counts for

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Showing cs.CVShow all

7 papers · 1 filter

cs.CV2022★ 1 cited

BadDet: Backdoor Attacks on Object Detection

Shih-Han Chan, Yinpeng Dong, Jun Zhu +2

Deep learning models have been deployed in numerous real-world applications such as autonomous driving and surveillance. However, these models are vulnerable in adversarial environ…

cs.CV2021★ 5 cited

Improving Transferability of Adversarial Patches on Face Recognition with Generative Models

Zihao Xiao, Xianfeng Gao, Chilin Fu +5

Face recognition is greatly improved by deep convolutional neural networks (CNNs). Recently, these face recognition models have been used for identity authentication in security se…

cs.CV2020★ 1 cited

Data-Free Adversarial Perturbations for Practical Black-Box Attack

ZhaoXin Huan, Yulong Wang, Xiaolu Zhang +3

Neural networks are vulnerable to adversarial examples, which are malicious inputs crafted to fool pre-trained models. Adversarial examples often exhibit black-box attacking transf…

cs.CV2019

Pruning from Scratch

Yulong Wang, Xiaolu Zhang, Lingxi Xie +4

Network pruning is an important research field aiming at reducing computational costs of neural networks. Conventional approaches follow a fixed paradigm which first trains a large…

cs.CV2019★ 3 cited

P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification

Bingzhe Wu, Shiwan Zhao, Guangyu Sun +4

Recently, deep convolutional neural networks (CNNs) have achieved great success in pathological image classification. However, due to the limited number of labeled pathological ima…

cs.CV2018

Infinite Curriculum Learning for Efficiently Detecting Gastric Ulcers in WCE Images

Xiaolu Zhang, Shiwan Zhao, Lingxi Xie

The Wireless Capsule Endoscopy (WCE) is becoming a popular way of screening gastrointestinal system diseases and cancer. However, the time-consuming process in inspecting WCE data…

cs.CV2018

G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification

Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao +4

Pathological glomerulus classification plays a key role in the diagnosis of nephropathy. As the difference between different subcategories is subtle, doctors often refer to slides…