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

Gradient-based sparse voxel attacks on point cloud object detection.
Pattern Recognit., 2025

2024
Adversarial attacks in computer vision: a survey.
J. Membr. Comput., June, 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

AdvOps: Decoupling adversarial examples.
Pattern Recognit., 2024

An invisible, robust copyright protection method for DNN-generated content.
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

Generalized point configurations in Fqd.
Finite Fields Their Appl., 2024

Black-box adversarial patch attacks using differential evolution against aerial imagery object detectors.
Eng. Appl. Artif. Intell., 2024

Improving the Transferability of Adversarial Examples by Feature Augmentation.
CoRR, 2024

Universal Multi-view Black-box Attack against Object Detectors via Layout Optimization.
CoRR, 2024

HeteroMorpheus: Universal Control Based on Morphological Heterogeneity Modeling.
Proceedings of the International Joint Conference on Neural Networks, 2024

PapMOT: Exploring Adversarial Patch Attack Against Multiple Object Tracking.
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

Adversarial patch attacks against aerial imagery object detectors.
Neurocomputing, June, 2023

Natural Weather-Style Black-Box Adversarial Attacks Against Optical Aerial Detectors.
IEEE Trans. Geosci. Remote. Sens., 2023

Adaptive momentum variance for attention-guided sparse adversarial attacks.
Pattern Recognit., 2023

Differential evolution based dual adversarial camouflage: Fooling human eyes and object detectors.
Neural Networks, 2023

Universal Perturbation-based Secret Key-Controlled Data Hiding.
CoRR, 2023

Adversarial Examples in the Physical World: A Survey.
CoRR, 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

RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World.
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

A Survey on Physical Adversarial Attack in Computer Vision.
CoRR, 2022

A Multi-objective Memetic Algorithm for Auto Adversarial Attack Optimization Design.
CoRR, 2022

Searching for Robust Neural Architectures via Comprehensive and Reliable Evaluation.
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
Randomized ReLU Activation for Uncertainty Estimation of Deep Neural Networks.
CoRR, 2021

2018
Revisiting Distant Supervision for Relation Extraction.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

2016
Capturing Argument Relationship for Chinese Semantic Role Labeling.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Encoding Temporal Information for Time-Aware Link Prediction.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Towards Time-Aware Knowledge Graph Completion.
Proceedings of the COLING 2016, 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

Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Recognizing Textual Entailment Using Probabilistic Inference.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Event Schema Induction Based on Relational Co-occurrence over Multiple Documents.
Proceedings of the Natural Language Processing and Chinese Computing, 2014


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