activity
20222026
most citedTowards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger

2 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2026

An Algebraic Method for Full-Rank Characterization in Binary Linear Coding

Mingyang Zhu, Laigang Guo, Zhenyu Huang +4

In this paper, we develop a characteristic set (CS)-based method for deriving full-rank equivalence conditions of symbolic matrices over the binary field. Such full-rank conditions…

cs.CR2023★ 2 cited

Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger

Mingyan Zhu, Yiming Li, Junfeng Guo +3

Currently, sample-specific backdoor attacks (SSBAs) are the most advanced and malicious methods since they can easily circumvent most of the current backdoor defenses. In this pape…

cs.CV2023★ 1 cited

One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer

Hang Guo, Tao Dai, Mingyan Zhu +4

Recognizing characters from low-resolution (LR) text images poses a significant challenge due to the information deficiency as well as the noise and blur in low-quality images. Cur…

cs.AI2022

Controller-Guided Partial Label Consistency Regularization with Unlabeled Data

Qian-Wei Wang, Bowen Zhao, Mingyan Zhu +3

Partial label learning (PLL) learns from training examples each associated with multiple candidate labels, among which only one is valid. In recent years, benefiting from the stron…

cs.CR2022★ 2 cited

Black-box Dataset Ownership Verification via Backdoor Watermarking

Yiming Li, Mingyan Zhu, Xue Yang +3

Deep learning, especially deep neural networks (DNNs), has been widely and successfully adopted in many critical applications for its high effectiveness and efficiency. The rapid d…