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Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An
  Adversarial Perspective

Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective

28 February 2024
Xinjian Luo
Yangfan Jiang
Fei Wei
Yuncheng Wu
Xiaokui Xiao
Beng Chin Ooi
    DiffM
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Papers citing "Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective"

3 / 3 papers shown
Title
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
Xiaoyu Cao
Minghong Fang
Jia Liu
Neil Zhenqiang Gong
FedML
102
595
0
27 Dec 2020
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning
Xinjian Luo
Xiangqi Zhu
FedML
60
25
0
27 Apr 2020
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
225
2,542
0
25 Jan 2016
1