Department of Defence

output

20172025

most citedTrack Everything: Limiting Prior Knowledge in Online Multi-Object Recognition

29 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

Paul Montague3 · h 20
C. Yoo2 · h 14
K. Y. C. To2 · h 4
R. Fitch2 · h 31
S. Anstee2 · h 14
Tamas Abraham2 · h 10
Adam Gatt1 · h 4
Ali Mehrabi1 · h 3
Andrew Wabnitz1 · h 8
Arpan Das1 · h 2
A. van Schaik1 · h 29
Benjamin I. P. Rubinstein1 · h 35

collaborating institutions

Defence Science and Technology GroupAU9 papers
RMIT UniversityAU2 papers
University of Technology SydneyAU2 papers
Monash UniversityAU1 paper
National University of SingaporeSG1 paper
Queensland University of TechnologyAU1 paper
Royal Australian Air ForceAU1 paper
Sapienza University of RomeIT1 paper
The University of MelbourneAU1 paper
The University of QueenslandAU1 paper
University of ArizonaUS1 paper
University of ConnecticutUS1 paper

Showing cs.LGShow all

1 paper · 1 filter

cs.LG2023★ 1 cited

Adversarial Robustness on Image Classification with $k$ -means

Rollin Omari, Junae Kim, Paul Montague

In this paper we explore the challenges and strategies for enhancing the robustness of $k$ -means clustering algorithms against adversarial manipulations. We evaluate the vulnerabil…

Adversarial Robustness on Image Classification with k-means

Adversarial Robustness on Image Classification with $k$ -means