Elliott, Andrew

6 publications

AISTATS 2024 Imposing Fairness Constraints in Synthetic Data Generation Mahed Abroshan, Andrew Elliott, Mohammad Mahdi Khalili

NeurIPSW 2022 Counterfactual Fairness in Synthetic Data Generation Mahed Abroshan, Mohammad Mahdi Khalili, Andrew Elliott

LoG 2022 DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series Jase Clarkson, Mihai Cucuringu, Andrew Elliott, Gesine Reinert

NeurIPSW 2022 Random Walk Based Conditional Generative Model for Temporal Networks with Attributes Stratis Limnios, Andrew Elliott, Mihai Cucuringu, Gesine Reinert

NeurIPSW 2022 TAPAS: A Toolbox for Adversarial Privacy Auditing of Synthetic Data Florimond Houssiau, James Jordon, Samuel N Cohen, Owen Daniel, Andrew Elliott, James Geddes, Callum Mole, Camila Rangel-Smith, Lukasz Szpruch

CVPR 2021 Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball Andrew Elliott, Stephen Law, Chris Russell