21 citations · 34 across the 18 of their papers we have counts for
3 papers · 1 filter
Training Data Protection with Compositional Diffusion Models
Aditya Golatkar, Alessandro Achille, Ashwin Swaminathan +1
We introduce Compartmentalized Diffusion Models (CDM), a method to train different diffusion models (or prompts) on distinct data sources and arbitrarily compose them at inference…
Tangent Transformers for Composition, Privacy and Removal
Tian Yu Liu, Aditya Golatkar, Stefano Soatto
We introduce Tangent Attention Fine-Tuning (TAFT), a method for fine-tuning linearized transformers obtained by computing a First-order Taylor Expansion around a pre-trained initia…
SAFE: Machine Unlearning With Shard Graphs
Yonatan Dukler, Benjamin Bowman, Alessandro Achille +3
We present Synergy Aware Forgetting Ensemble (SAFE), a method to adapt large models on a diverse collection of data while minimizing the expected cost to remove the influence of tr…