9 citations · 9 across the 8 of their papers we have counts for
3 papers · 1 filter
Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation
Rusheb Shah, Quentin Feuillade--Montixi, Soroush Pour +3
Despite efforts to align large language models to produce harmless responses, they are still vulnerable to jailbreak prompts that elicit unrestricted behaviour. In this work, we in…
Prototype Generation: Robust Feature Visualisation for Data Independent Interpretability
Arush Tagade, Jessica Rumbelow
We introduce Prototype Generation, a stricter and more robust form of feature visualisation for model-agnostic, data-independent interpretability of image classification models. We…
Why do CNNs excel at feature extraction? A mathematical explanation
Vinoth Nandakumar, Arush Tagade, Tongliang Liu
Over the past decade deep learning has revolutionized the field of computer vision, with convolutional neural network models proving to be very effective for image classification b…