1. Products

  • School of Information Technology.

  • Improving adversarial training as a defense technique for model robustness.

  • Model interpretation and understanding.

  • Image, video, text, audio adversarial examples.

  • From Lp-bounded to unrestricted adversarial perturbations.

2. Data Enabled Projects

  • Learning with noisy/adversarial labels.

  • Learning with input noise.

  • Learning with adversarial back-door/trojan attacks.

  • Learning in noisy and dynamic real-world environments.

3. Product Innovation and/or Development

  • Learning with noisy/adversarial labels.