most citedDiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection

3 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

MemEye: A Visual-Centric Evaluation Framework for Multimodal Agent Memory

Minghao Guo, Qingyue Jiao, Zeru Shi +14

Long-term agent memory is increasingly multimodal, yet existing evaluations rarely test whether agents preserve the visual evidence needed for later reasoning. In prior work, many…

cs.CV2026

Micro-Defects Expose Macro-Fakes: Detecting AI-Generated Images via Local Distributional Shifts

Boxuan Zhang, Jianing Zhu, Qifan Wang +2

Recent generative models can produce images that appear highly realistic, raising challenges in distinguishing real and AI-generated images. Yet existing detectors based on pre-tra…

cs.CL2026

Ruyi2.5 Technical Report

Huan Song, Shuyu Tian, Qingfei Zhao +5

We present Ruyi2.5, a multimodal familial model built on the AI Flow framework. Extending Ruyi2's "Train Once, Deploy Many" paradigm to the multimodal domain, Ruyi2.5 constructs a…

cs.CV2026

Privacy-Aware Camera 2.0 Technical Report

Huan Song, Shuyu Tian, Ting Long +5

With the increasing deployment of intelligent sensing technologies in highly sensitive environments such as restrooms and locker rooms, visual surveillance systems face a profound…

cs.CV2023★ 1 cited

Mask Attack Detection Using Vascular-weighted Motion-robust rPPG Signals

Chenglin Yao, Jianfeng Ren, Ruibin Bai +3

Detecting 3D mask attacks to a face recognition system is challenging. Although genuine faces and 3D face masks show significantly different remote photoplethysmography (rPPG) sign…

cs.CV2023★ 3 cited

DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection

Jiang Liu, Chun Pong Lau, Zhongliang Guo +3

The increasingly pervasive facial recognition (FR) systems raise serious concerns about personal privacy, especially for billions of users who have publicly shared their photos on…