Anli Yan

Orcid: 0000-0002-2854-2931

According to our database¹, Anli Yan authored at least 21 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Defenses to Membership Inference Attacks: A Survey.

[BibT_eX]

[DOI]

ACM Comput. Surv., April, 2024

MTL-Leak: Privacy Risk Assessment in Multi-Task Learning.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2024

2023

Explanation-based data-free model extraction attacks.

[BibT_eX]

[DOI]

World Wide Web (WWW), September, 2023

Holistic Implicit Factor Evaluation of Model Extraction Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2023

Explanation leaks: Explanation-guided model extraction attacks.

[BibT_eX]

[DOI]

Inf. Sci., 2023

GanFinger: GAN-Based Fingerprint Generation for Deep Neural Network Ownership Verification.

[BibT_eX]

[DOI]

CoRR, 2023

Zeroth-Order Gradient Approximation Based DaST for Black-Box Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

Sender anonymity: Applying ring signature in gateway-based blockchain for IoT is not enough.

[BibT_eX]

[DOI]

Arthur Sandor Voundi Koe

Inf. Sci., 2022

Towards explainable model extraction attacks.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2022

DPCL: Contrastive representation learning with differential privacy.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2022

Kernel-based adversarial attacks and defenses on support vector classification.

[BibT_eX]

[DOI]

Digit. Commun. Networks, 2022

Explanation-Guided Minimum Adversarial Attack.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022

Towards Differentially Private Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022

Detect Adversarial Examples by Using Feature Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

2021

Effective detection of mobile malware behavior based on explainable deep neural network.

[BibT_eX]

[DOI]

Muhammad Umair Hassan

Chuan Zhao

Bo Yang

Neurocomputing, 2021

Querying little is enough: Model inversion attack via latent information.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2021

IEdroid: Detecting Malicious Android Network Behavior Using Incremental Ensemble of Ensembles.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

2020

Towards Privacy-Preserving Aggregated Prediction from SPDZ.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

Network-based Malware Detection with a Two-tier Architecture for Online Incremental Update.

[BibT_eX]

[DOI]

Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020

2018

Neural Network Rule Extraction for Real Time Traffic Behavior Identification.

[BibT_eX]

[DOI]

Muhammad Umair Hassan

Chuan Zhao

Proceedings of the 2018 International Conference on Security, 2018

TrafficPSSF: A Fast and An Effective Malware Detection Under Online and Offline.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on Security, 2018

Anli Yan

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