Personal profile

Biography

Dr. Haripriya Harikumar is a Research Fellow at University of Manchester, Centre for AI Fundamentals. Pervisouly she was a Postdoctoral Postdoctoral Research Fellow at the Applied AI Intelligence Institute at Deakin University. She completed her PhD degree from the Pattern Recognition and Data Analytics group (PRaDA) under the supervision of A/Prof. Santu Rana, A/Prof. Sunil Gupta, Dr. Thin Nguyen, and Alfred Deakin Prof. Svetha Venkatesh. Her research interest is to develop mechanisms to understand Adversarial Machine Learning such as adversarial attacks and defenses. She focuses on building frameworks to defend against these attacks in machine learning models to make them trustable and safe to use. She is also interested in machine unlearning, differential privacy, data manifold analysis, and out-of-distribution detection. She has papers published in top Machine Learning, Data Mining, and Computer Vision conferences. She is a program committee member of top conferences in Machine Learning and Computer Vision.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 4 - Quality Education
  • SDG 5 - Gender Equality
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 10 - Reduced Inequalities
  • SDG 13 - Climate Action
  • SDG 17 - Partnerships for the Goals

Education/Academic qualification

Doctor of Philosophy, Deakin University

External positions

Visitor at Applied AI Institute, Deakin University

Keywords

  • Adversarial Machine Learning
  • AI Security
  • AI Privacy
  • Bayesian Inference
  • Uncertainty Quantification

Fingerprint

Dive into the research topics where Haripriya Harikumar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles