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OMNIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and Modalities
v1v2 (latest)

OMNIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and Modalities

29 May 2025
Sahil Verma
Keegan E. Hines
J. Bilmes
Charlotte Siska
Luke Zettlemoyer
Hila Gonen
Chandan Singh
    AAML
ArXiv (abs)PDFHTMLHuggingFace (2 upvotes)Github (55★)

Papers citing "OMNIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and Modalities"

3 / 3 papers shown
Kelp: A Streaming Safeguard for Large Models via Latent Dynamics-Guided Risk Detection
Kelp: A Streaming Safeguard for Large Models via Latent Dynamics-Guided Risk Detection
Xiaodan Li
Mengjie Wu
Yao Zhu
Yunna Lv
YueFeng Chen
Cen Chen
Jianmei Guo
H. Xue
KELM
171
0
0
09 Oct 2025
DynaGuard: A Dynamic Guardian Model With User-Defined Policies
DynaGuard: A Dynamic Guardian Model With User-Defined Policies
Monte Hoover
Vatsal Baherwani
Neel Jain
Khalid Saifullah
Joseph Vincent
Chirag Jain
Melissa Kazemi Rad
C. Bayan Bruss
Ashwinee Panda
Tom Goldstein
254
1
0
02 Sep 2025
CultureGuard: Towards Culturally-Aware Dataset and Guard Model for Multilingual Safety Applications
CultureGuard: Towards Culturally-Aware Dataset and Guard Model for Multilingual Safety Applications
Raviraj Joshi
Rakesh Paul
Kanishk Singla
Anusha Kamath
Michael Evans
...
Shaona Ghosh
Utkarsh Vaidya
E. Long
Sanjay Singh Chauhan
Niranjan Wartikar
302
0
0
03 Aug 2025
1