5 citations · 14 across the 7 of their papers we have counts for
7 papers · 1 filter
Stego Battlefield: Evaluating Image Steganography Attacks and Steganalysis Defenses
Zhen Sun, Zongmin Zhang, Leyi Sheng +7
Image steganography is widely used to protect user privacy and enable covert communication. However, it can also be abused by the adversary as a covert channel to bypass content mo…
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…
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
Shuo Shao, Wenyuan Yang, Hanlin Gu +4
Federated learning (FL) is a distributed machine learning paradigm allowing multiple clients to collaboratively train a global model without sharing their local data. However, FL e…
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring
Wenyuan Yang, Shuo Shao, Yue Yang +5
Federated learning (FL) allows multiple participants to collaboratively build deep learning (DL) models without directly sharing data. Consequently, the issue of copyright protecti…
A Secure and Efficient Data Deduplication Scheme with Dynamic Ownership Management in Cloud Computing
Xuewei Ma, Wenyuan Yang, Yuesheng Zhu +1
Encrypted data deduplication is an important technique for saving storage space and network bandwidth, which has been widely used in cloud storage. Recently, a number of schemes th…
BDTF: A Blockchain-Based Data Trading Framework with Trusted Execution Environment
Guoxiong Su, Wenyuan Yang, Zhengding Luo +3
The need for data trading promotes the emergence of data market. However, in conventional data markets, both data buyers and data sellers have to use a centralized trading platform…