research
∙
05/23/2023
A Dive into SAM Prior in Image Restoration
The goal of image restoration (IR), a fundamental issue in computer visi...
share
research
∙
05/11/2023
Can SAM Boost Video Super-Resolution?
The primary challenge in video super-resolution (VSR) is to handle large...
research
∙
03/22/2023
Reliable and Efficient Evaluation of Adversarial Robustness for Deep Hashing-Based Retrieval
Deep hashing has been extensively applied to massive image retrieval due...
research
∙
08/17/2022
Imperceptible and Robust Backdoor Attack in 3D Point Cloud
With the thriving of deep learning in processing point cloud data, recen...
research
∙
07/27/2022
Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips
The security of deep neural networks (DNNs) has attracted increasing att...
research
∙
07/25/2022
Versatile Weight Attack via Flipping Limited Bits
To explore the vulnerability of deep neural networks (DNNs), many attack...
research
∙
04/03/2022
Improving Vision Transformers by Revisiting High-frequency Components
The transformer models have shown promising effectiveness in dealing wit...
research
∙
02/21/2021
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits
To explore the vulnerability of deep neural networks (DNNs), many attack...
research
∙
08/21/2020
Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning
Interpretability and effectiveness are two essential and indispensable r...
research
∙
03/14/2019
Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness
How to obtain a model with good interpretability and performance has alw...
research
∙
03/10/2019