3 citations · 7 across the 7 of their papers we have counts for
7 papers
PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning
Jiashi Gao, Ziwei Wang, Xiangyu Zhao +3
Federated learning (FL), integrating group fairness mechanisms, allows multiple clients to collaboratively train a global model that makes unbiased decisions for different populati…
CopyScope: Model-level Copyright Infringement Quantification in the Diffusion Workflow
Junlei Zhou, Jiashi Gao, Ziwei Wang +1
Web-based AI image generation has become an innovative art form that can generate novel artworks with the rapid development of the diffusion model. However, this new technique brin…
Anti-Matthew FL: Bridging the Performance Gap in Federated Learning to Counteract the Matthew Effect
Jiashi Gao, Xin Yao, Xuetao Wei
Federated learning (FL) stands as a paradigmatic approach that facilitates model training across heterogeneous and diverse datasets originating from various data providers. However…
ItoV: Efficiently Adapting Deep Learning-based Image Watermarking to Video Watermarking
Guanhui Ye, Jiashi Gao, Yuchen Wang +2
Robust watermarking tries to conceal information within a cover image/video imperceptibly that is resistant to various distortions. Recently, deep learning-based approaches for ima…
Do NFTs' Owners Really Possess their Assets? A First Look at the NFT-to-Asset Connection Fragility
Ziwei Wang, Jiashi Gao, Xuetao Wei
NFTs (Non-Fungible Tokens) have experienced an explosive growth and their record-breaking prices have been witnessed. Typically, the assets that NFTs represent are stored off-chain…
Deep Boosting Robustness of DNN-based Image Watermarking via DBMark
Guanhui Ye, Jiashi Gao, Wei Xie +2
Image watermarking is a technique for hiding information into images that can withstand distortions while requiring the encoded image to be perceptually identical to the original i…
Social-DualCVAE: Multimodal Trajectory Forecasting Based on Social Interactions Pattern Aware and Dual Conditional Variational Auto-Encoder
Jiashi Gao, Xinming Shi, James J. Q. Yu
Pedestrian trajectory forecasting is a fundamental task in multiple utility areas, such as self-driving, autonomous robots, and surveillance systems. The future trajectory forecast…