9 citations · 39 across the 14 of their papers we have counts for
8 papers · 1 filter
Asymmetrically Decentralized Federated Learning
Qinglun Li, Miao Zhang, Nan Yin +2
To address the communication burden and privacy concerns associated with the centralized server in Federated Learning (FL), Decentralized Federated Learning (DFL) has emerged, whic…
Content-Aware Quantization Index Modulation:Leveraging Data Statistics for Enhanced Image Watermarking
Junlong Mao, Huiyi Tang, Shanxiang Lyu +2
Image watermarking techniques have continuously evolved to address new challenges and incorporate advanced features. The advent of data-driven approaches has enabled the processing…
Reversible Quantization Index Modulation for Static Deep Neural Network Watermarking
Junren Qin, Shanxiang Lyu, Fan Yang +3
Static deep neural network (DNN) watermarking techniques typically employ irreversible methods to embed watermarks into the DNN model weights. However, this approach causes permane…
FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature
Wenyuan Yang, Gongxi Zhu, Yuguo Yin +4
Federated learning allows multiple parties to collaborate in learning a global model without revealing private data. The high cost of training and the significant value of the glob…
FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof
Wenyuan Yang, Yuguo Yin, Gongxi Zhu +4
Federated learning (FL) allows multiple parties to cooperatively learn a federated model without sharing private data with each other. The need of protecting such federated models…
Spatial-Frequency Discriminability for Revealing Adversarial Perturbations
Chao Wang, Shuren Qi, Zhiqiu Huang +4
The vulnerability of deep neural networks to adversarial perturbations has been widely perceived in the computer vision community. From a security perspective, it poses a critical…
Visual Content Privacy Protection: A Survey
Ruoyu Zhao, Yushu Zhang, Tao Wang +3
Vision is the most important sense for people, and it is also one of the main ways of cognition. As a result, people tend to utilize visual content to capture and share their life…
Representing Noisy Image Without Denoising
Shuren Qi, Yushu Zhang, Chao Wang +3
A long-standing topic in artificial intelligence is the effective recognition of patterns from noisy images. In this regard, the recent data-driven paradigm considers 1) improving…