Meng Chen
![profile.png](/assets/img/profile.png?adcdc02403518029ec703faf20b096b2)
Zhejiang University
Hangzhou, China
Hangzhou, China
I am currently a third-year PhD student advised by Dr. Li Lu in the College of Computer Science and Technology at Zhejiang University. I also earned my bachelor’s degree from Zhejiang University in 2021.
My research interests lie in AI security with a specific focus on adversarial examples and backdoor learning, especially their practical threats to intelligent audio systems. By “debugging” deep learning, my research seeks to help build trustworthy AI systems in security-critical tasks.
News
Dec, 2023 | One first-authored journal paper got accepted by TIFS! |
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Jul, 2023 | One first-authored paper got accepted by USENIX Security 2024! |
Apr, 2023 | One first-authored paper got accepted by UbiComp/IMWUT! |
Jan, 2023 | One paper got accepted by UbiComp/IMWUT! |
Oct, 2022 | Our research “A Non-Intrusive and Adaptive Speaker De-Identification Scheme Using Adversarial Examples” won Best Poster Runner-up Award from MobiCom 2022! |
Sep, 2022 | One paper got accepted by SenSys 2022! |
Aug, 2022 | One first-authored poster paper got accepted in MobiCom 2022! |
Mar, 2022 | I received Student Conference Grant from INFOCOM 2022. |
Nov, 2021 | One first-authored paper got accepted in INFOCOM 2022! |
Selected Publications
- PhoneyTalker: An Out-of-the-Box Toolkit for Adversarial Example Attack on Speaker RecognitionIn Proceedings of IEEE INFOCOM , 2022