Abstract
No public abstract is available from the verified source records.
Guanjun Wang, Jingze Wu, Hongbo Chen
Abstract
Authors
Institutions
Provenance
crossref
Confidence 100%
openalex
Confidence 95%
datacite
Confidence 0%
No local reference links have been materialized yet.
No local citing links have been materialized yet.
Sensor fusion for drone detection
2021
Deep learning for RF-based drone detection and identification: A multi-channel 1-D convolutional neural networks approach
2020
Unsupervised drones swarm characterization using RF signals analysis and machine learning methods
10.3390/s23031589 · 2023
Adversarial attack against intrusion detectors in cyber-physical systems with minimal perturbations
2024
Research trends in collaborative drones
10.3390/s22093321 · 2022
Where and how to attack? A causality-inspired recipe for generating counterfactual adversarial examples
2024
Towards evaluating the robustness of neural networks
2017
Supervised contrastive few-shot learning for high-frequency time series
2023
Global-and-local attention-based reinforcement learning for cooperative behaviour control of multiple UAVs
10.1109/tvt.2023.3327571 · 2023
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
2020
Black-box adversarial attack on time series classification
2023
Unresolved referenced work
2023
Swap: Exploiting second-ranked logits for adversarial attacks on time series
2023
Reflections on the future of swarm robotics
10.1126/scirobotics.abe4385 · 2020
10.1109/cvpr.2018.00175
10.1109/cvpr.2018.00175
Deep learning for time series classification and extrinsic regression: A current survey
2024
Attack based on data: a novel perspective to attack sensitive points directly
10.1186/s42400-023-00179-4 · 2023
Shape analysis of flight trajectories using neural networks
2021
Unresolved referenced work
2014
Causal effects of adversarial attacks on AI models in 6G consumer electronics
10.1109/tce.2024.3443328 · 2024
Drone detection & classification with surveillance ‘radar on-the-move’ and YOLO
2023
Adversarial attacks on deep neural networks for time series classification
2019
Flatness-based finite-horizon multi-UAV formation trajectory planning and directionally aware collision avoidance tracking
10.1016/j.jfranklin.2025.107867 · 2025
Adaptedge: Targeted universal adversarial attacks on time series data in smart grids
10.1109/tsg.2024.3384208 · 2024
10.1109/cvpr52729.2023.01184
10.1109/cvpr52729.2023.01184
10.1145/3636534.3649367
10.1145/3636534.3649367
Unmanned aerial vehicle tactical intention recognition method based on dynamic series Bayesian network
2023
Unresolved referenced work
Kept as external metadata until matched
Causality-based adversarial attacks for robust GNN modelling with application in fault detection
10.1016/j.ress.2024.110464 · 2024
Adversarial attacks based on time-series features for traffic detection
10.1016/j.cose.2024.104175 · 2025
Reservoir computing with swarms
10.1063/5.0039745 · 2021
Unresolved referenced work
Kept as external metadata until matched
Indoor formation motion planning using B-splines parametrization and evolutionary optimization
10.1016/j.conengprac.2024.106066 · 2024
Minimum snap trajectory generation and control for quadrotors
2011
Unresolved referenced work
2024
Smooth perturbations for time series adversarial attacks
2022
Time series adversarial attacks: an investigation of smooth perturbations and defense approaches
10.1007/s41060-023-00438-0 · 2025
Anti-drone system with multiple surveillance technologies: Architecture, implementation, and challenges
10.1109/mcom.2018.1700430 · 2018
Localisation of drone controllers from RF signals using a deep learning approach
2018
Unresolved referenced work
2013
UAV behavior-intention estimation method based on 4-D flight-trajectory prediction
10.3390/su132212528 · doi-reference
Swarm intention identification via dynamic distribution probability image
10.1016/j.cja.2024.03.018 · doi-reference
Tsadv: Black-box adversarial attack on time series with local perturbations
10.1016/j.engappai.2022.105218 · doi-reference
Online hierarchical recognition method for target tactical intention in beyond-visual-range air combat
10.1016/j.dt.2022.02.001 · doi-reference
Adversarial attacks and defenses in images, graphs and text: A review
10.1007/s11633-019-1211-x · doi-reference
Small perturbations are enough: Adversarial attacks on time series prediction
10.1016/j.ins.2021.11.007 · doi-reference
A GRU-based method for predicting intention of aerial targets
10.1155/2021/6082242 · doi-reference
Anti-drone system with multiple surveillance technologies: Architecture, implementation, and challenges
10.1109/mcom.2018.1700430 · doi-reference
Time series adversarial attacks: an investigation of smooth perturbations and defense approaches
10.1007/s41060-023-00438-0 · doi-reference
Indoor formation motion planning using B-splines parametrization and evolutionary optimization
10.1016/j.conengprac.2024.106066 · doi-reference
Reservoir computing with swarms
10.1063/5.0039745 · doi-reference
Adversarial attacks based on time-series features for traffic detection
10.1016/j.cose.2024.104175 · doi-reference
Causality-based adversarial attacks for robust GNN modelling with application in fault detection
10.1016/j.ress.2024.110464 · doi-reference
10.1145/3636534.3649367
10.1145/3636534.3649367 · doi-reference
10.1109/cvpr52729.2023.01184
10.1109/cvpr52729.2023.01184 · doi-reference
Adaptedge: Targeted universal adversarial attacks on time series data in smart grids
10.1109/tsg.2024.3384208 · doi-reference
Flatness-based finite-horizon multi-UAV formation trajectory planning and directionally aware collision avoidance tracking
10.1016/j.jfranklin.2025.107867 · doi-reference
Causal effects of adversarial attacks on AI models in 6G consumer electronics
10.1109/tce.2024.3443328 · doi-reference
Attack based on data: a novel perspective to attack sensitive points directly
10.1186/s42400-023-00179-4 · doi-reference
10.1109/cvpr.2018.00175
10.1109/cvpr.2018.00175 · doi-reference
Reflections on the future of swarm robotics
10.1126/scirobotics.abe4385 · doi-reference
Global-and-local attention-based reinforcement learning for cooperative behaviour control of multiple UAVs
10.1109/tvt.2023.3327571 · doi-reference
Research trends in collaborative drones
10.3390/s22093321 · doi-reference
Unsupervised drones swarm characterization using RF signals analysis and machine learning methods
10.3390/s23031589 · doi-reference