Hughes, Michael C.

Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations

Ross, A. S., Hughes, M. C., & Doshi-Velez, F. (2017) · Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 515

Preserving Patient Confidentiality as Data Grow: Implications of the Ability to Reidentify Physical Activity Data

McCoy, T. H., & Hughes, M. C. (2018) · JAMA Network Open

Privacy-Preserving Technologies in DataThoreau and American Literature

Cited by 13

Evaluating the Use of Reconstruction Error for Novelty Localization

Feeney, P., & Hughes, M. C. (2021) · arXiv

Anomaly Detection Techniques and ApplicationsVisual Attention and Saliency Detection

Cited by 1