Talks and Tutorials

Tutorials

• Tutorial "Towards Adversarial Learning: from Evasion Attacks to Poisoning Attacks"
  KDD 2022, Washington DC, August 2022
  Lecturer: Wentao Wang*, Han Xu*, Yuxuan Wan, Jie Ren, Jiliang Tang.
  A lecture-style tutorial about adversarial attacks and poisoning attacks.

• Tutorial "Adversarial Robustness in Deep Learning: From Practices to Theories"
  KDD 2021, Online, August 2021
  Lecturer: Han Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang
  A lecture-style tutorial about the algorithms and theories in adversarial robust DNNs.

• Tutorial "Adversarial Attacks and Defenses: Frontiers, Advances and Practice".
  KDD 2020, Online, August 2020
  Lecturer: Han Xu, Yaxin Li, Wei Jin, Jiliang Tang
  A lecture-style tutorial about the advances in adversarial robust DNNs.

Invited Talks

• Trustworthy Problems of  Large Language Models
  University of Illinois, Chicago,  January, 2024
  I give a talk about trustworthy issues about large language models such as ChatGPT.

• Early Career Research Talk:  Trustworthiness Problems in Generative Machine Learning
  CMSE Data Science Student Conference (DISC), Michigan State University, November 2023
  I introduce trustworthiness problems about generative machine learning models, such as ChatGPT and diffusion models.

• AITIME Talk: ChatGPT Generated Text Detection
  AITime, October 2023
  I give a short talk about "ChatGPT Generated Text Detection"

• Trustworthy Problems of Generative Models and Solutions
  Emory University, October 2023
  I give a talk about security issues about large language models such as ChatGPT.

• 2023 Ethical AI Forum (Academic Lightning Talk): On the Interaction between Robustness and Fairness
  Michigan Institute of Data Science, University of Michigan, Ann Arbor, May 2023
  I introduce how the adversarial robust models can be biased to specific groups of data distribution, how poisoning attack can be leveraged as defenses to protect data user's copy / portraiture right against generative models. 

• KDD 2022 Deep Learning Day as "Junior researcher spotlights"
  KDD 2022, Washington DC, August 2022
  I give a short talk about our research outcomes about the fairness issues in adversarial robust DNNs.

• TechBeat Talk: Machine Learning Robustness and Fairness
  TechBeat, June 2022
  I give a short talk about "Fairness in Adversarial Robust DNNs"