Tentative Important Dates

Call for Papers

Recently, the success of deep learning in AI has attracted great attention from academia. However, research shows that the security and safety of deep models have caused great concerns in real applications. This workshop focuses on discovering and harnessing both the positive and negative aspects of adversarial machine learning (especially in computer vision). We welcome research contributions related to the following (but not limited to) topics:
  • Adversarial attacks against computer vision tasks
  • Improve the robustness of deep learning systems
  • Interpreting and understanding model robustness
  • Adversarial attacks for social good
  • Dataset and benchmark that might benefit the model robustness
Format: Submissions papers (.pdf format) must use the CVPR 2023 Author Kit for LaTeX/Word Zip file and be anonymized and follow CVPR 2023 author instructions. The workshop considers two types of submissions: (1) Long Paper: Papers are limited to 6 pages excluding references; (2) Extended Abstract: Papers are limited to 4 pages including references.

Submission Site: https://cmt3.research.microsoft.com/3rdAdvML2023
Submission Due: March 15, 2023, Anywhere on Earth (AoE)