4 citations · 5 across the 10 of their papers we have counts for
5 papers · 1 filter
RADAP: A Robust and Adaptive Defense Against Diverse Adversarial Patches on Face Recognition
Xiaoliang Liu, Furao Shen, Jian Zhao +1
Face recognition (FR) systems powered by deep learning have become widely used in various applications. However, they are vulnerable to adversarial attacks, especially those based…
NeRFTAP: Enhancing Transferability of Adversarial Patches on Face Recognition using Neural Radiance Fields
Xiaoliang Liu, Furao Shen, Feng Han +2
Face recognition (FR) technology plays a crucial role in various applications, but its vulnerability to adversarial attacks poses significant security concerns. Existing research p…
A Long-Tail Friendly Representation Framework for Artist and Music Similarity
Haoran Xiang, Junyu Dai, Xuchen Song +1
The investigation of the similarity between artists and music is crucial in music retrieval and recommendation, and addressing the challenge of the long-tail phenomenon is increasi…
RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named Entity Recognition
Sihan Song, Furao Shen, Jian Zhao
Data augmentation has been widely used in low-resource NER tasks to tackle the problem of data sparsity. However, previous data augmentation methods have the disadvantages of disru…
GIMM: InfoMin-Max for Automated Graph Contrastive Learning
Xin Xiong, Furao Shen, Xiangyu Wang +1
Graph contrastive learning (GCL) shows great potential in unsupervised graph representation learning. Data augmentation plays a vital role in GCL, and its optimal choice heavily de…