Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Yong Zou

Yong Zou

1 indexed paper

Recent (6 mo)
1
With code
0
Influential cites
0
Benchmarked
0

Publications per year

1
26

Top categories

Vision×1AI×1Crypto×1ML×1

Frequent co-authors

Haoran Li1×
Fanxiao Li1×
Shenyang Wei1×
Yunyun Dong1×
Li Tang1×
Wei Zhou1×

Research Timeline

2026
REFORGE: Multi-modal Attacks Reveal Vulnerable Concept Unlearning in Image Generation Models

The paper introduces REFORGE, a black-box red-teaming framework that uses adversarial image prompts to reveal persistent vulnerabilities in current Image Generation Model Unlearning (IGMU) methods.

Highlighted terms show continued research focus across papers

Papers

cs.CVcs.AIcs.CRRecentMar 17, 2026

REFORGE: Multi-modal Attacks Reveal Vulnerable Concept Unlearning in Image Generation Models

Yong Zou, Haoran Li, Fanxiao Li, Shenyang Wei +4 more

The paper introduces REFORGE, a black-box red-teaming framework that uses adversarial image prompts to reveal persistent vulnerabilities in current Image Generation Model Unlearning (IGMU) methods.

View →