Lingchen Zhao

Orcid: 0000-0002-1700-3836

According to our database¹, Lingchen Zhao authored at least 28 papers between 2018 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Fairness is essential for robustness: fair adversarial training by identifying and augmenting hard examples.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., March, 2025

Solid-SQL: Enhanced Schema-linking based In-context Learning for Robust Text-to-SQL.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Perception-Driven Imperceptible Adversarial Attack Against Decision-Based Black-Box Models.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

No-Box Universal Adversarial Perturbations Against Image Classifiers via Artificial Textures.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

FastTextDodger: Decision-Based Adversarial Attack Against Black-Box NLP Models With Extremely High Efficiency.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

Advancing Video Quality Assessment for AIGC.

[BibT_eX]

[DOI]

CoRR, 2024

Revisiting Video Quality Assessment from the Perspective of Generalization.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Adversarial Transferability Through Neighborhood Conditional Sampling.

[BibT_eX]

[DOI]

CoRR, 2024

Hijacking Attacks against Neural Networks by Analyzing Training Data.

[BibT_eX]

[DOI]

CoRR, 2024

More Simplicity for Trainers, More Opportunity for Attackers: Black-Box Attacks on Speaker Recognition Systems by Inferring Feature Extractor.

[BibT_eX]

[DOI]

Proceedings of the 33rd USENIX Security Symposium, 2024

Hijacking Attacks against Neural Network by Analyzing Training Data.

[BibT_eX]

[DOI]

Proceedings of the 33rd USENIX Security Symposium, 2024

Reputation Defender: Local Black-Box Adversarial Attack against Image-Translation-Based DeepFake.

[BibT_eX]

[DOI]

Wang Yang

Lingchen Zhao

Dengpan Ye

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Revisiting Adversarial Training Under Long-Tailed Distributions.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Zero-Query Adversarial Attack on Black-box Automatic Speech Recognition Systems.

[BibT_eX]

[DOI]

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

Differential privacy in deep learning: Privacy and beyond.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., November, 2023

AdvDDoS: Zero-Query Adversarial Attacks Against Commercial Speech Recognition Systems.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2023

Shielding Graph for eXact Analytics With SGX.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2023

Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Universal Defensive Underpainting Patch: Making Your Text Invisible to Optical Character Recognition.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

SEAR: Secure and Efficient Aggregation for Byzantine-Robust Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2022

Practical differentially private online advertising.

[BibT_eX]

[DOI]

Comput. Secur., 2022

2021

VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2021

Shielding Collaborative Learning: Mitigating Poisoning Attacks Through Client-Side Detection.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2021

2020

Privacy-Preserving Collaborative Deep Learning With Unreliable Participants.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2020

Deep Domain Adaptation With Differential Privacy.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2020

2019

Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection.

[BibT_eX]

[DOI]

CoRR, 2019

VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service.

[BibT_eX]

[DOI]

CoRR, 2019

2018

InPrivate Digging: Enabling Tree-based Distributed Data Mining with Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Lingchen Zhao

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...