research
∙
07/07/2023
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
Learning on Graphs has attracted immense attention due to its wide real-...
share
research
∙
06/02/2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
Recent studies on Graph Neural Networks(GNNs) provide both empirical and...
research
∙
05/11/2023
Inter-frame Accelerate Attack against Video Interpolation Models
Deep learning based video frame interpolation (VIF) method, aiming to sy...
research
∙
03/26/2021
MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes
Deepfakes raised serious concerns on the authenticity of visual contents...
research
∙
12/10/2019
Appending Adversarial Frames for Universal Video Attack
There have been many efforts in attacking image classification models wi...
research
∙
11/21/2018
