Viet Q. Vo

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Australian Institute for Machine Learning Building, Floor Lower Ground

Cnr North Tce & Frome Road

Adelaide, SA 5000

I am a postdoctoral researcher at Australian Institute for Machine Learning (AIML) and The University Of Adelaide. I completed my Ph.D. in the School of Computer and Mathematical Sciences at the University of Adelaide, with the mentorship of Prof. Damith C Ranasinghe and Dr. Ehsan Abbasnejad. My research interests lie at the intersection of Machine Learning and Security (Trustworthy Machine Learning), with a special focus on adversarial machine learning. My academic research aims to investigate and address the robustness of deep neural networks against adversarial attacks.

news

Sep 20, 2024 Today is my graduation ceremony :mortar_board:. Thank you all (family and friends) for every fantastic thing :heart:you have done for me in my incerdible and challenging Ph.D journey :crown::muscle:.
Jul 01, 2024 I started a new journey and worked at Australian Institute for Machine Learning (AIML). :sparkles: :smile:
May 01, 2024 I participated in ICLR 2024 conference in Vienna, Austria from 6th to 11th, May. The recording of my presentation can be found here
Jan 16, 2024 My third paper BruSLeAttack: Query-Efficient Score-Based Sparse Adversarial Attack has been accepted at ICLR 2024 (A* Conference). :sparkles: :smile: :trophy:
Dec 31, 2023 Award conferral confirmation letter
Nov 13, 2023 I started my new chapter as a Postdoc Fellow (Grant-Funded Researcher) at The University of Adelaide. :sparkles: :smile:
Aug 04, 2023 I was a Teaching Assistant for Operating System (3004), Introduction to Statistical Machine Learning (3314), Grand Challenges in Computer Science.
Jul 31, 2023 I submitted my Ph.D. Thesis.
Jul 12, 2022 I received a credit award and became a part of the Google Cloud Research Credits Program.
Jun 02, 2022 I served as a reviewer for IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

selected publications

  1. BruSLeAttack: A Query-Efficient Score-Based Black-box Sparse Adversarial Attack
    QV. VoE. Abbasnejad, and D. C. Ranasinghe
    International Conference on Learning Representations (ICLR), 2024
  2. Query Efficient Decision Based Sparse Attacks Against Black-Box Machine Learning Models
    QV. VoE. Abbasnejad, and D. C. Ranasinghe
    International Conference on Learning Representations (ICLR), 2022
  3. RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit
    QV. VoE. Abbasnejad, and D. C. Ranasinghe
    Network and Distributed Systems Security (NDSS) Symposium, 2022