Hi, I'm Nicole Meng. I research and build at the intersection of generative AI and security.
My work on AI model integrity and trustworthiness led me to one question: How do we trust what AI creates?
Follow along as I work toward safer, more trustworthy AI. #AIsecurity
🚀SPAR-3D is happening this week @CVPR!
Join us for the 1st Workshop on Security, Privacy, and Adversarial Robustness in 3D Generative Vision Models.
📅 June 4, 8:00 AM – 12:00 PM
🌐 Website: https://t.co/OwkSqsSvQs
🗓️ Program Schedule: https://t.co/2OOXF7vhWM
Super cool spatial camera for 3D content production: https://t.co/4L3LNtntMd
Supports point cloud processing and 3DGS rendering. It is always cool to see applications of 3D vision research. #3dgs
Ph.D. candidate Nicole Meng is leading a workshop that will facilitate a conversation about safety considerations for generative AI vision models. Learn more about the importance of security in generative AI: https://t.co/0SaF6c0BoY
📢[Call for paper] SPAR-3D Workshop @CVPR
Are you working on generative 3D vision? We are hosting the SPAR-3D workshop @CVPR in Denver and are looking forward to your submissions!
Workshop Link: https://t.co/OwkSqsSvQs
Submission Link: https://t.co/8Ye2VboYnQ
Three years ago, I co-founded an AI & computer science education company: learnLogica.
We brought AI education to K12 students through rigorous curriculums, AI-focused courses, and real university faculty teaching.
Inspire next generation of computer scientists! #learnLogica
This summer, I presented my first author publication at CVPR in Nashville TN. This year, the word #gaussiansplatting was one of the top 5 keywords in publications!
The future for generative models is bright… The future for generative model SECURITY is brighter!
The next big challenge in AI isn’t creativity.
It’s trust.
Models can now generate text, images, and 3D worlds that look perfect but often hide risks we don’t see: privacy leaks, steganography, bias, and manipulation.
Building systems we can trust is the frontier that matters.