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Hui-Po Wang (王暉博)
Hui-Po Wang (王暉博)
Ph.D. student, CISPA-Helmholtz Center for Information Security
Email confirmado em cispa.saarland - Página inicial
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All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation
WL Chang*, HP Wang*, WH Peng, WC Chiu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
2772019
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
HP Wang, SU Stich, Y He, M Fritz
International Conference on Machine Learning (ICML), 2022
302022
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs
HP Wang, N Yu, M Fritz
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
272021
Infoscrub: Towards attribute privacy by targeted obfuscation
HP Wang, T Orekondy, M Fritz
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
182021
Learning priors for adversarial autoencoders
HP Wang, WH Peng, WJ Ko
APSIPA Transactions on Signal and Information Processing 9, e4, 2020
132020
Learning priors for adversarial autoencoders
HP Wang, WJ Ko, WH Peng
Asia-Pacific Signal and Information Processing Association Annual Summit and …, 2018
132018
CosSGD: Communication-Efficient Federated Learning with a Simple Cosine-Based Quantization
Y He, HP Wang, M Zenk, M Fritz
1st NeurIPS Workshop on New Frontiers in Federated Learning (NFFL 2021), 2021
11*2021
Video Rescaling Networks with Joint Optimization Strategies for Downscaling and Upscaling
Y Huang, YH Chen, CY Lu, HP Wang, WH Peng, CC Huang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
102021
Fed-GLOSS-DP: Federated, global learning using synthetic sets with record level differential privacy
HP Wang, D Chen, R Kerkouche, M Fritz
arXiv preprint arXiv:2302.01068, 2023
32023
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations
HP Wang, D Chen, R Kerkouche, M Fritz
arXiv preprint arXiv:2302.01068, 2023
2023
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