Attack detection model for BCoT based on contrastive variational autoencoder and metric learning.
J. Cloud Comput., December, 2024
An Adversarial Example Defense Algorithm for Intelligent Driving.
IEEE Netw., November, 2024
A Novel Generation Method for Diverse Privacy Image Based on Machine Learning.
Comput. J., March, 2023
Launching a Robust Backdoor Attack under Capability Constrained Scenarios.
CoRR, 2023
Black-box Word-level Textual Adversarial Attack Based On Discrete Harris Hawks Optimization.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023
IBD: An Interpretable Backdoor-Detection Method via Multivariate Interactions.
Sensors, 2022
A Novel Steganography Method for Character-Level Text Image Based on Adversarial Attacks.
Sensors, 2022
Targeted Anonymization: A Face Image Anonymization Method for Unauthorized Models.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Sparse Adversarial Attack For Video Via Gradient-Based Keyframe Selection.
Proceedings of the IEEE International Conference on Acoustics, 2022
A low-query black-box adversarial attack based on transferability.
Knowl. Based Syst., 2021
OpCode-Level Function Call Graph Based Android Malware Classification Using Deep Learning.
Sensors, 2020
Tracking the Insider Attacker: A Blockchain Traceability System for Insider Threats.
Sensors, 2020
A Black-Box Attack on Neural Networks Based on Swarm Evolutionary Algorithm.
Proceedings of the Information Security and Privacy - 25th Australasian Conference, 2020