Hui-Po Wang

24 papers A* 6Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
An Exploratory Survey Study Toward a Conceptual Framework for Structuring the Integration of Privacy-Enhancing Technologies in Federated Learning and Analytics.
IEEE Access
Hammam Abu Attieh, Mehmed Halilovic, Raouf Kerkouche, Shadi Rahimian, Hui-Po Wang, Raphael Rehms, Georgios Kaissis, Alexander Ziller, Jonas Kuntzer, Karen Otte, Thierry Meurers, Mario Fritz, Daniel Rückert, Fabian Prasser
2025 — conf
Automated Detection of Abnormalities in Zebrafish Development.
MICCAI (7)
Sarath Sivaprasad, Hui-Po Wang, Anna-Lisa Jäckel, Jonas Baumann, Carole Baumann, Jennifer Herrmann, Mario Fritz
2025 J jnl
DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators.
Trans. Mach. Learn. Res.
Tejumade Afonja, Hui-Po Wang, Raouf Kerkouche, Mario Fritz
2025 J jnl
Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews.
CoRR
Sai Suresh Macharla Vasu, Ivaxi Sheth, Hui-Po Wang, Ruta Binkyte, Mario Fritz
2025 J jnl
ProxyPrompt: Securing System Prompts against Prompt Extraction Attacks.
CoRR
Zhixiong Zhuang, Maria-Irina Nicolae, Hui-Po Wang, Mario Fritz
2025 A* conf
Stealix: Model Stealing via Prompt Evolution.
ICML
Zhixiong Zhuang, Hui-Po Wang, Maria-Irina Nicolae, Mario Fritz
2025 J jnl
Stealix: Model Stealing via Prompt Evolution.
CoRR
Zhixiong Zhuang, Hui-Po Wang, Maria-Irina Nicolae, Mario Fritz
2024 J jnl
DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators.
CoRR
Tejumade Afonja, Hui-Po Wang, Raouf Kerkouche, Mario Fritz
2024 J jnl
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations.
Proc. Priv. Enhancing Technol.
Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz
2024 A* conf
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models.
NeurIPS
Hui-Po Wang, Mario Fritz
2024 J jnl
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models.
CoRR
Hui-Po Wang, Mario Fritz
2023 J jnl
Fed-GLOSS-DP: Federated, Global Learning using Synthetic Sets with Record Level Differential Privacy.
CoRR
Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz
2022 A* conf
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training.
ICML
Hui-Po Wang, Sebastian U. Stich, Yang He, Mario Fritz
2021 A* conf
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs.
CVPR
Hui-Po Wang, Ning Yu, Mario Fritz
2021 — conf
InfoScrub: Towards Attribute Privacy by Targeted Obfuscation.
CVPR Workshops
Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz
2021 J jnl
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training.
CoRR
Hui-Po Wang, Sebastian U. Stich, Yang He, Mario Fritz
2021 A* conf
Video Rescaling Networks With Joint Optimization Strategies for Downscaling and Upscaling.
CVPR
Yan-Cheng Huang, Yi-Hsin Chen, Cheng-You Lu, Hui-Po Wang, Wen-Hsiao Peng, Ching-Chun Huang
2021 J jnl
Video Rescaling Networks with Joint Optimization Strategies for Downscaling and Upscaling.
CoRR
Yan-Cheng Huang, Yi-Hsin Chen, Cheng-You Lu, Hui-Po Wang, Wen-Hsiao Peng, Ching-Chun Huang
2020 J jnl
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs.
CoRR
Hui-Po Wang, Ning Yu, Mario Fritz
2020 J jnl
InfoScrub: Towards Attribute Privacy by Targeted Obfuscation.
CoRR
Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz
2019 A* conf
All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation.
CVPR
Wei-Lun Chang, Hui-Po Wang, Wen-Hsiao Peng, Wei-Chen Chiu
2019 J jnl
All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation.
CoRR
Wei-Lun Chang, Hui-Po Wang, Wen-Hsiao Peng, Wei-Chen Chiu
2019 J jnl
Learning Priors for Adversarial Autoencoders.
CoRR
Hui-Po Wang, Wen-Hsiao Peng, Wei-Jan Ko
2018 — conf
Learning Priors for Adversarial Autoencoders.
APSIPA
Hui-Po Wang, Wei-Jan Ko, Wen-Hsiao Peng