Yue Zhao

Orcid: 0009-0007-4708-8061

Affiliations:
  • Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
  • University of Chinese Academy of Sciences, School of Cyber Security, Beijing, China


According to our database1, Yue Zhao authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
NeuralSanitizer: Detecting Backdoors in Neural Networks.
IEEE Trans. Inf. Forensics Secur., 2024

AE-Morpher: Improve Physical Robustness of Adversarial Objects against LiDAR-based Detectors via Object Reconstruction.
Proceedings of the 33rd USENIX Security Symposium, 2024

I Don't Know You, But I Can Catch You: Real-Time Defense against Diverse Adversarial Patches for Object Detectors.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

LLM Factoscope: Uncovering LLMs' Factual Discernment through Measuring Inner States.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

UMA: Facilitating Backdoor Scanning via Unlearning-Based Model Ablation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Robustness-Assured White-Box Watermark in Neural Networks.
IEEE Trans. Dependable Secur. Comput., 2023

LLM Factoscope: Uncovering LLMs' Factual Discernment through Inner States Analysis.
CoRR, 2023

2021
HufuNet: Embedding the Left Piece as Watermark and Keeping the Right Piece for Ownership Verification in Deep Neural Networks.
CoRR, 2021

AI-Lancet: Locating Error-inducing Neurons to Optimize Neural Networks.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020
Using Sonar for Liveness Detection to Protect Smart Speakers against Remote Attackers.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Devil's Whisper: A General Approach for Physical Adversarial Attacks against Commercial Black-box Speech Recognition Devices.
Proceedings of the 29th USENIX Security Symposium, 2020

2019
Seeing isn't Believing: Towards More Robust Adversarial Attack Against Real World Object Detectors.
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018
Practical Adversarial Attack Against Object Detector.
CoRR, 2018

CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition.
Proceedings of the 27th USENIX Security Symposium, 2018


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