Improving VAEs' Robustness to Adversarial Attacks – Part 2/2

This is part two of a two-part series where I explain in some detail the ideas in my upcoming ICLR 2021 paper `Improving VAEs’ Robustness to Adversarial Attacks’, work done with my friends and colleagues at the University of Oxford and The Alan Turing Institute.

Learning Independent Representations using Flows & Fixed Linear Models

This post gives an overview of the ideas in my AISTATS 2021 paper `Learning Bijective Feature Maps for Linear ICA’, work done with my friends and colleagues at the University of Oxford, UCL, and The Alan Turing Institute.

Improving VAEs' Robustness to Adversarial Attacks – Part 1/2

This is part one of a two part series where I explain in some detail the ideas in my upcoming ICLR 2021 paper `Improving VAEs’ Robustness to Adversarial Attacks’, work done with my friends and colleagues at the University of Oxford and The Alan Turing Institute.

Explicit Regularisation in GNIs

My 2020 NeurIPS paper, written with my friends and colleagues at the University of Oxford, studies the often used and yet poorly understood method of adding Gaussian noise to data and neural network activations.