70 citations · 71 across the 4 of their papers we have counts for
4 papers
HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated Learning
Weiyang He, Chip-Hong Chang
Vertical Federated Learning (VFL) enables an orchestrating active party to perform a machine learning task by cooperating with passive parties that provide additional task-related…
IDEA: An Inverse Domain Expert Adaptation Based Active DNN IP Protection Method
Chaohui Xu, Qi Cui, Jinxin Dong +2
Illegitimate reproduction, distribution and derivation of Deep Neural Network (DNN) models can inflict economic loss, reputation damage and even privacy infringement. Passive DNN i…
SPFL: A Self-purified Federated Learning Method Against Poisoning Attacks
Zizhen Liu, Weiyang He, Chip-Hong Chang +3
While Federated learning (FL) is attractive for pulling privacy-preserving distributed training data, the credibility of participating clients and non-inspectable data pose new sec…
In-situ crack and keyhole pore detection in laser directed energy deposition through acoustic signal and deep learning
Lequn Chen, Xiling Yao, Chaolin Tan +6
Cracks and keyhole pores are detrimental defects in alloys produced by laser directed energy deposition (LDED). Laser-material interaction sound may hold information about underlyi…