🏢 Dalhousie University
Representation Noising: A Defence Mechanism Against Harmful Finetuning
·3502 words·17 mins·
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Natural Language Processing
Large Language Models
🏢 Dalhousie University
RepNoise: a novel defense against harmful fine-tuning of LLMs by removing information about harmful representations, generalizing across different harmful tasks, and maintaining LLM capabilities.
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers
·13127 words·62 mins·
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AI Generated
Machine Learning
Deep Learning
🏢 Dalhousie University
Boost classifier robustness with DiffAug, a novel diffusion-based augmentation method! One forward and reverse diffusion step enhances robustness against covariate shifts, adversarial examples, and o…