Tingsong Jiang
Orcid: 0000-0003-1637-2928
According to our database1,
Tingsong Jiang
authored at least 43 papers
between 2014 and 2025.
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Bibliography
2025
Optimizing Latent Variables in Integrating Transfer and Query Based Attack Framework.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2025
Pattern Recognit., 2025
2024
Efficient search of comprehensively robust neural architectures via multi-fidelity evaluation.
Pattern Recognit., February, 2024
Improving Transferability of Universal Adversarial Perturbation With Feature Disruption.
IEEE Trans. Image Process., 2024
Neural Networks, 2024
Adversarial Infrared Curves: An attack on infrared pedestrian detectors in the physical world.
Neural Networks, 2024
Adversarial infrared blocks: A multi-view black-box attack to thermal infrared detectors in physical world.
Neural Networks, 2024
Multi-objective evolutionary search of variable-length composite semantic perturbations.
Inf. Sci., 2024
Adversarial patch-based false positive creation attacks against aerial imagery object detectors.
Neurocomputing, 2024
Black-box adversarial patch attacks using differential evolution against aerial imagery object detectors.
Eng. Appl. Artif. Intell., 2024
CoRR, 2024
Universal Multi-view Black-box Attack against Object Detectors via Layout Optimization.
CoRR, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
QRPatch: A Deceptive Texture-Based Black-Box Adversarial Attacks with Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
A multi-objective memetic algorithm for automatic adversarial attack optimization design.
Neurocomputing, August, 2023
Neurocomputing, June, 2023
Natural Weather-Style Black-Box Adversarial Attacks Against Optical Aerial Detectors.
IEEE Trans. Geosci. Remote. Sens., 2023
Pattern Recognit., 2023
Differential evolution based dual adversarial camouflage: Fooling human eyes and object detectors.
Neural Networks, 2023
A Plug-and-Play Defensive Perturbation for Copyright Protection of DNN-based Applications.
CoRR, 2023
Bayesian evolutionary optimization for crafting high-quality adversarial examples with limited query budget.
Appl. Soft Comput., 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
An Approximated Gradient Sign Method Using Differential Evolution for Black-Box Adversarial Attack.
IEEE Trans. Evol. Comput., 2022
CoRR, 2022
CoRR, 2022
Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction.
Proceedings of the International Joint Conference on Neural Networks, 2022
FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CoRR, 2021
2018
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018
2016
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
2015
ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
2014
Proceedings of the Natural Language Processing and Chinese Computing, 2014