Oct 10, 2022 · This paper presents a new delegate-based utility preserving synthesis (DUPS) approach for pedestrian image anonymization.

This paper studies a novel privacy-preserving anonymization problem for pedestrian images, which preserves personal identity information (PII) for authorized ...

Delegate-based Utility Preserving Synthesis for Pedestrian Image Anonymization · Conference Paper. October 2022. ·. 20 Reads. ·. 4 Citations. Zhenzhong Kuang.

Delegate-based Utility Preserving Synthesis for Pedestrian Image Anonymization. ... A More Effective Method for Image Representation: Topic Model Based on Latent ...

Delegate-based Utility Preserving Synthesis for Pedestrian Image Anonymization · Zhenzhong Kuang, Longbin Teng, Zhou Yu, Jun Yu, Jianping Fan, Mingliang Xu.

A new delegate-based utility preserving synthesis (DUPS) approach for pedestrian image anonymization that can not only achieve superior anonymization ...

Delegate-based Utility Preserving Synthesis for Pedestrian Image Anonymization. Citing Conference Paper. October 2022. Zhenzhong Kuang. ·. Longbin Teng. ·. Zhou ...

Corner Detection: Passive Non-Lin-of-Sight Pedestrian Detection. PRCV ... Delegate-based Utility Preserving Synthesis for Pedestrian Image Anonymization.

A novel notion of image-aware differential privacy, referred to as DP-image, that can protect user's personal information in images, from both human and AI ...

Image retrieval techniques can be easily abused to violate personal privacy with images containing individuals' sensitive information.