Hui-Po Wang

According to our database, Hui-Po Wang authored at least 12 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Stealix: Model Stealing via Prompt Evolution.

Zhixiong Zhuang, Hui-Po Wang, Maria-Irina Nicolae, Mario Fritz

CoRR, June, 2025

ProxyPrompt: Securing System Prompts against Prompt Extraction Attacks.

Zhixiong Zhuang, Maria-Irina Nicolae, Hui-Po Wang, Mario Fritz

CoRR, May, 2025

DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators.

Tejumade Afonja, Hui-Po Wang, Raouf Kerkouche, Mario Fritz

Trans. Mach. Learn. Res., 2025

2024

FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations.

Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz

Proc. Priv. Enhancing Technol., 2024

Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models.

Hui-Po Wang, Mario Fritz

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Fed-GLOSS-DP: Federated, Global Learning using Synthetic Sets with Record Level Differential Privacy.

Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz

CoRR, 2023

2022

ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training.

Hui-Po Wang, Sebastian U. Stich, Yang He, Mario Fritz

Proceedings of the International Conference on Machine Learning, 2022

2021

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs.

Hui-Po Wang, Ning Yu, Mario Fritz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

InfoScrub: Towards Attribute Privacy by Targeted Obfuscation.

Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Video Rescaling Networks With Joint Optimization Strategies for Downscaling and Upscaling.

Yan-Cheng Huang, Yi-Hsin Chen, Cheng-You Lu, Hui-Po Wang, Wen-Hsiao Peng, Ching-Chun Huang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation.

Wei-Lun Chang, Hui-Po Wang, Wen-Hsiao Peng, Wei-Chen Chiu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Learning Priors for Adversarial Autoencoders.

Hui-Po Wang, Wei-Jan Ko, Wen-Hsiao Peng

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018