activity
20212026
most citedBASAR:Black-box Attack on Skeletal Action Recognition

6 citations · 11 across the 21 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

Inclusion 2024 Global Multimedia Deepfake Detection Challenge: Towards Multi-dimensional Face Forgery Detection

Yi Zhang, Weize Gao, Changtao Miao +10

In this paper, we present the Global Multimedia Deepfake Detection held concurrently with the Inclusion 2024. Our Multimedia Deepfake Detection aims to detect automatic image and a…

cs.LG2024★ 2 cited

MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights

Jingjing Hu, Dan Guo, Zhan Si +5

Molecular representation learning plays a crucial role in various downstream tasks, such as molecular property prediction and drug design. To accurately represent molecules, Graph…

cs.LG2024

Moderating the Generalization of Score-based Generative Model

Wan Jiang, He Wang, Xin Zhang +4

Score-based Generative Models (SGMs) have demonstrated remarkable generalization abilities, e.g. generating unseen, but natural data. However, the greater the generalization power,…

cs.CV2024

TASAR: Transfer-based Attack on Skeletal Action Recognition

Yunfeng Diao, Baiqi Wu, Ruixuan Zhang +5

Skeletal sequence data, as a widely employed representation of human actions, are crucial in Human Activity Recognition (HAR). Recently, adversarial attacks have been proposed in t…

cs.CV2024

Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks

Yunfeng Diao, Naixin Zhai, Changtao Miao +4

Recent advancements in image synthesis, particularly with the advent of GAN and Diffusion models, have amplified public concerns regarding the dissemination of disinformation. To a…

cs.CV2024

Boosting Adversarial Transferability for Skeleton-based Action Recognition via Exploring the Model Posterior Space

Yunfeng Diao, Baiqi Wu, Ruixuan Zhang +3

Skeletal motion plays a pivotal role in human activity recognition (HAR). Recently, attack methods have been proposed to identify the universal vulnerability of skeleton-based HAR(…