Search Results for author: Yuqing Zhang

Found 8 papers, 3 papers with code

Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction

1 code implementation22 Sep 2023 ZiYi Yang, Xinyu Gao, Wen Zhou, Shaohui Jiao, Yuqing Zhang, Xiaogang Jin

Implicit neural representation has paved the way for new approaches to dynamic scene reconstruction and rendering.

Neural Rendering Novel View Synthesis

SoK: Comparing Different Membership Inference Attacks with a Comprehensive Benchmark

1 code implementation12 Jul 2023 Jun Niu, Xiaoyan Zhu, Moxuan Zeng, Ge Zhang, Qingyang Zhao, Chunhui Huang, Yangming Zhang, Suyu An, Yangzhong Wang, Xinghui Yue, Zhipeng He, Weihao Guo, Kuo Shen, Peng Liu, Yulong Shen, Xiaohong Jiang, Jianfeng Ma, Yuqing Zhang

We have identified three principles for the proposed "comparing different MI attacks" methodology, and we have designed and implemented the MIBench benchmark with 84 evaluation scenarios for each dataset.

CASSOCK: Viable Backdoor Attacks against DNN in The Wall of Source-Specific Backdoor Defences

no code implementations31 May 2022 Shang Wang, Yansong Gao, Anmin Fu, Zhi Zhang, Yuqing Zhang, Willy Susilo, Dongxi Liu

Compared with a representative SSBA as a baseline ($SSBA_{Base}$), $CASSOCK$-based attacks have significantly advanced the attack performance, i. e., higher ASR and lower FPR with comparable CDA (clean data accuracy).

PPA: Preference Profiling Attack Against Federated Learning

no code implementations10 Feb 2022 Chunyi Zhou, Yansong Gao, Anmin Fu, Kai Chen, Zhiyang Dai, Zhi Zhang, Minhui Xue, Yuqing Zhang

By observing a user model's gradient sensitivity to a class, PPA can profile the sample proportion of the class in the user's local dataset, and thus the user's preference of the class is exposed.

Federated Learning Inference Attack

Adaptive Pricing in Insurance: Generalized Linear Models and Gaussian Process Regression Approaches

no code implementations2 Jul 2019 Yuqing Zhang, Neil Walton

We develop two pricing models: an adaptive Generalized Linear Model (GLM) and an adaptive Gaussian Process (GP) regression model.

Gaussian Processes Management +1

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