Baolin Zheng

Orcid: 0009-0002-0381-0255

According to our database1, Baolin Zheng authored at least 12 papers between 2021 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Perception-Driven Imperceptible Adversarial Attack Against Decision-Based Black-Box Models.
IEEE Trans. Inf. Forensics Secur., 2024

FastTextDodger: Decision-Based Adversarial Attack Against Black-Box NLP Models With Extremely High Efficiency.
IEEE Trans. Inf. Forensics Secur., 2024

From Toxic to Trustworthy: Using Self-Distillation and Semi-supervised Methods to Refine Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Sequence As Genes: An User Behavior Modeling Framework for Fraud Transaction Detection in E-commerce.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

SDBC: A Novel and Effective Self-Distillation Backdoor Cleansing Approach.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Adversarial Network Pruning by Filter Robustness Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A Few Seconds Can Change Everything: Fast Decision-based Attacks against DNNs.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Towards Black-Box Adversarial Attacks on Interpretable Deep Learning Systems.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021
Towards Query-Efficient Adversarial Attacks Against Automatic Speech Recognition Systems.
IEEE Trans. Inf. Forensics Secur., 2021

Deep Learning on Mobile and Embedded Devices: State-of-the-art, Challenges, and Future Directions.
ACM Comput. Surv., 2021

Anti-Distillation Backdoor Attacks: Backdoors Can Really Survive in Knowledge Distillation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021


  Loading...