2 citations · 3 across the 11 of their papers we have counts for
5 papers · 1 filter
Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers
Vaden Masrani, Mohammad Akbari, David Ming Xuan Yue +2
In the era of costly pre-training of large language models, ensuring the intellectual property rights of model owners, and insuring that said models are responsibly deployed, is be…
Towards Secure and Usable 3D Assets: A Novel Framework for Automatic Visible Watermarking
Gursimran Singh, Tianxi Hu, Mohammad Akbari +2
3D models, particularly AI-generated ones, have witnessed a recent surge across various industries such as entertainment. Hence, there is an alarming need to protect the intellectu…
LaWa: Using Latent Space for In-Generation Image Watermarking
Ahmad Rezaei, Mohammad Akbari, Saeed Ranjbar Alvar +2
With generative models producing high quality images that are indistinguishable from real ones, there is growing concern regarding the malicious usage of AI-generated images. Imper…
GOLD: Generalized Knowledge Distillation via Out-of-Distribution-Guided Language Data Generation
Mohsen Gholami, Mohammad Akbari, Cindy Hu +3
Knowledge distillation from LLMs is essential for the efficient deployment of language models. Prior works have proposed data generation using LLMs for preparing distilled models.…
AMUSE: Adaptive Multi-Segment Encoding for Dataset Watermarking
Saeed Ranjbar Alvar, Mohammad Akbari, David Ming Xuan Yue +1
Curating high quality datasets that play a key role in the emergence of new AI applications requires considerable time, money, and computational resources. So, effective ownership…