29 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- 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
11 papers
Multiscale aperture synthesis imager
Ruihai Wang, Qianhao Zhao, Tianbo Wang +7
Synthetic aperture imaging has enabled breakthrough observations from radar to astronomy. However, optical implementation remains challenging due to stringent wavefield synchroniza…
A Data-driven Approach for Rapid Detection of Aeroelastic Modes from Flutter Flight Test Based on Limited Sensor Measurements
Arpan Das, Pier Marzocca, Giuliano Coppotelli +2
Flutter flight test involves the evaluation of the airframes aeroelastic stability by applying artificial excitation on the aircraft lifting surfaces. The subsequent responses are…
Adversarial Robustness on Image Classification with -means
Rollin Omari, Junae Kim, Paul Montague
In this paper we explore the challenges and strategies for enhancing the robustness of -means clustering algorithms against adversarial manipulations. We evaluate the vulnerabil…
Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA
Ali Mehrabi, Yeshwanth Bethi, André van Schaik +2
This paper presents an efficient hardware implementation of the recently proposed Optimized Deep Event-driven Spiking Neural Network Architecture (ODESA). ODESA is the first networ…
The Ethics of Biosurveillance
S. K. Devitt, P. W. J. Baxter, G. Hamilton
Governments must keep agricultural systems free of pests that threaten agricultural production and international trade. Biosecurity surveillance already makes use of a wide range o…
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness
Anh Bui, Trung Le, He Zhao +4
Ensemble-based adversarial training is a principled approach to achieve robustness against adversarial attacks. An important technique of this approach is to control the transferab…
Distance and Steering Heuristics for Streamline-Based Flow Field Planning
K. Y. Cadmus To, Chanyeol Yoo, Stuart Anstee +1
Motion planning for vehicles under the influence of flow fields can benefit from the idea of streamline-based planning, which exploits ideas from fluid dynamics to achieve computat…
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence
Yi Han, David Hubczenko, Paul Montague +6
Recent studies have demonstrated that reinforcement learning (RL) agents are susceptible to adversarial manipulation, similar to vulnerabilities previously demonstrated in the supe…
Streamlines for Motion Planning in Underwater Currents
Kwun Yiu Cadmus To, Ki Myung Brian Lee, Chanyeol Yoo +2
Motion planning for underwater vehicles must consider the effect of ocean currents. We present an efficient method to compute reachability and cost between sample points in samplin…
Robust TMA using the possibility particle filter
Branko Ristic, Jeremie Houssineau, Sanjeev Arulampalam
The problem is target motion analysis (TMA), where the objective is to estimate the state of a moving target from noise corrupted bearings-only measurements. The focus is on recurs…
Track Everything: Limiting Prior Knowledge in Online Multi-Object Recognition
Sebastien C. Wong, Victor Stamatescu, Adam Gatt +3
This paper addresses the problem of online tracking and classification of multiple objects in an image sequence. Our proposed solution is to first track all objects in the scene wi…