Invited Talk

• Towards Effective and Efficient Evaluation of Large Language Model’s Adversarial Robustness.
  19 Apr 2024, *N-CRiPT Technical Workshop, NUS, Singapore.
  [Slides]

• An LLM can Fool Itself: A Prompt-Based Adversarial Attack.
  25 Mar 2024, N-CRiPT Seminar, NUS, Singapore.
  [Slides]

• Towards Building Robust Foundation Models.
  28 November 2023, N-CRiPT Seminar, NUS, Singapore.
  [Slides]

• Towards Effective and Efficient Self-Supervised Robust Pre-training.
  26 August 2023, 1st International Conference on AI-generated Content (AIGC 2023), Shanghai, China.
  [Slides] [Certification]

Conference Presentation

• Adversarial Attack and Defense for Non-Parametric Two-Sample Tests.
  21 July 2022, 39th International Conference on Machine Learning (ICML 2022), Baltimore, USA.
  [Slides] [Poster]