I am currently a third-year Ph.D. student in Engineering at Monash University, Australia, where I have the privilege of being mentored by A/Prof. Mehrtash Harandi and Dr. Munawar Hayat. My research interests include Trustworthy ML, Machine Unlearning, and Collaborative Learning.

Selected Publications/Preprint

• Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks
  Jing Wu, Mehrtash Harandi
  ECCV’24

• EraseDiff: Erasing Data Influence in Diffusion Models
  Jing Wu, Trung Le, Munawar Hayat, Mehrtash Harandi
  

• Concealing Sensitive Samples against Gradient Leakage in Federated Learning
  Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi
  AAAI’24

• Investigating White-Box Attacks for On-Device Models
  Mingyi Zhou, Xiang Gao, Jing Wu, Kui Liu, Hailong Sun, Li Li
  ICSE’24

• Dast: Data-free substitute training for adversarial attacks
  Mingyi Zhou^*, Jing Wu^*, Yipeng Liu, Shuaicheng Liu, Ce Zhu
  CVPR’20, Oral

Work Experience

• 2024.01 - present: PhD Assistant Lecturer
  _{Faculty of Engineering, Monash University, Australia}
  

• 2022.07 - 2023.12: Sessional Teaching Associate
  _{Faculty of Engineering, Monash University, Australia}
  

• 2020.07 - 2021.07: Research Assistant
  _{AVC2 Lab at UESTC, China}
  

• 2019.07 - 2020.03: Research Intern
  _{MEGVII Research, China}
  

Teaching

• ECE4179/5179/6179 - Neural networks and deep learning - S2 2024, S2 2023, S2 2022
• ECE4076/5176 - Computer vision - S1 2024, S1 2023
• ENG5001/6001 - Advanced engineering data analysis - S1 2023

Professional Services

Reviewer: ICLR, CVPR, ICCV, ECCV, NeurIPS, ICML, AAAI, ACM MM, AISTATS, TPAMI