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From the 2 of 20 linked papers with an AI index.

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20242026
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cs.CR2024

On the Credibility of Backdoor Attacks Against Object Detectors in the Physical World

Bao Gia Doan, Dang Quang Nguyen, Callum Lindquist +7

Object detectors are vulnerable to backdoor attacks. In contrast to classifiers, detectors possess unique characteristics, architecturally and in task execution; often operating in…

cs.RO2024

GyroCopter: Differential Bearing Measuring Trajectory Planner for Tracking and Localizing Radio Frequency Sources

Fei Chen, S. Hamid Rezatofighi, Damith C. Ranasinghe

Autonomous aerial vehicles can provide efficient and effective solutions for radio frequency (RF) source tracking and localizing problems with applications ranging from wildlife co…

cs.MA2024

Distributed Multi-Object Tracking Under Limited Field of View Heterogeneous Sensors with Density Clustering

Fei Chen, Hoa Van Nguyen, Alex S. Leong +3

We consider the problem of tracking multiple, unknown, and time-varying numbers of objects using a distributed network of heterogeneous sensors. In an effort to derive a formulatio…

cs.MA2024

Multi-Objective Multi-Agent Planning for Discovering and Tracking Multiple Mobile Objects

Hoa Van Nguyen, Ba-Ngu Vo, Ba-Tuong Vo +2

We consider the online planning problem for a team of agents to discover and track an unknown and time-varying number of moving objects from onboard sensor measurements with uncert…

cs.LG2024

BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack

Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe

We study the unique, less-well understood problem of generating sparse adversarial samples simply by observing the score-based replies to model queries. Sparse attacks aim to disco…

cs.RO2024

MEXGEN: An Effective and Efficient Information Gain Approximation for Information Gathering Path Planning

Joshua Chesser, Thuraiappah Sathyan, Damith C. Ranasinghe

Autonomous robots for gathering information on objects of interest has numerous real-world applications because of they improve efficiency, performance and safety. Realizing autono…