Publications

[Preprint] Random (Un)rounding : Vulnerabilities in Discrete Attribute Disclosure in the 2021 Canadian Census

C. West, I. Vecna, R. Chowdhury, “Random (Un)rounding : Vulnerabilities in Discrete Attribute Disclosure in the 2021 Canadian Census,” currently in preprint, brought to the attention of the Canadian Census Bureau to highlight possible privacy issues with their latest Census disclosure

Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary

JF Rajotte, S Mukherjee, C Robinson, A Ortiz, C West, JL Ferres, RT Ng, “Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary,” presented at the GoodIT ’21: Conference on Information Technology for Social Good, Sep. 2021. doi: 10.1145/3462203.3475875.
(note: see press release here)

Assessing the Capability of Deep-Learning Models in Parkinson’s Disease Diagnosis

C. West, S. Soltaninejad, and I. Cheng, “Assessing the Capability of Deep-Learning Models in Parkinson’s Disease Diagnosis,” in Lecture Notes in Computer Science, Springer International Publishing, 2020, pp. 237–247. doi: 10.1007/978-3-030-54407-2_20.