Learning Priors for Adversarial Autoencoders. - Hui-Po Wang; Wei-Jan Ko; Wen-Hsiao Peng (APSIPA, 2018)

All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation. - Wei-Lun Chang; Hui-Po Wang; Wen-Hsiao Peng; Wei-Chen Chiu (CVPR, 2019)

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 (CVPR, 2021)

InfoScrub: Towards Attribute Privacy by Targeted Obfuscation. - Hui-Po Wang; Tribhuvanesh Orekondy; Mario Fritz (CVPR Workshops, 2021)

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs. - Hui-Po Wang; Ning Yu 006; Mario Fritz (CVPR, 2021)

ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training. - Hui-Po Wang; Sebastian U. Stich; Yang He 005; Mario Fritz (ICML, 2022)

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)

Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models. - Hui-Po Wang; Mario Fritz (NeurIPS, 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)

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)

ProxyPrompt: Securing System Prompts against Prompt Extraction Attacks. - Zhixiong Zhuang; Maria-Irina Nicolae; Hui-Po Wang; Mario Fritz (CoRR, 2025)

Stealix: Model Stealing via Prompt Evolution. - Zhixiong Zhuang; Hui-Po Wang; Maria-Irina Nicolae; Mario Fritz (CoRR, 2025)