7 citations · 21 across the 13 of their papers we have counts for
6 papers · 1 filter
Regroup Median Loss for Combating Label Noise
Fengpeng Li, Kemou Li, Jinyu Tian +1
The deep model training procedure requires large-scale datasets of annotated data. Due to the difficulty of annotating a large number of samples, label noise caused by incorrect an…
Generating Robust Adversarial Examples against Online Social Networks (OSNs)
Jun Liu, Jiantao Zhou, Haiwei Wu +2
Online Social Networks (OSNs) have blossomed into prevailing transmission channels for images in the modern era. Adversarial examples (AEs) deliberately designed to mislead deep ne…
Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples
Jun Liu, Jiantao Zhou, Jinyu Tian +1
With the increasing prevalence of cloud computing platforms, ensuring data privacy during the cloud-based image related services such as classification has become crucial. In this…
DifAttack: Query-Efficient Black-Box Attack via Disentangled Feature Space
Liu Jun, Zhou Jiantao, Zeng Jiandian +1
This work investigates efficient score-based black-box adversarial attacks with a high Attack Success Rate (ASR) and good generalizability. We design a novel attack method based on…
Universal Defensive Underpainting Patch: Making Your Text Invisible to Optical Character Recognition
JiaCheng Deng, Li Dong, Jiahao Chen +5
Optical Character Recognition (OCR) enables automatic text extraction from scanned or digitized text images, but it also makes it easy to pirate valuable or sensitive text from the…
Effective Ambiguity Attack Against Passport-based DNN Intellectual Property Protection Schemes through Fully Connected Layer Substitution
Yiming Chen, Jinyu Tian, Xiangyu Chen +1
Since training a deep neural network (DNN) is costly, the well-trained deep models can be regarded as valuable intellectual property (IP) assets. The IP protection associated with…