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Zhuohang Li
Zhuohang Li
Bestätigte E-Mail-Adresse bei vanderbilt.edu - Startseite
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Zitiert von
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Advpulse: Universal, synchronization-free, and targeted audio adversarial attacks via subsecond perturbations
Z Li, Y Wu, J Liu, Y Chen, B Yuan
Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications …, 2020
1052020
Real-time, universal, and robust adversarial attacks against speaker recognition systems
Y Xie, C Shi, Z Li, J Liu, Y Chen, B Yuan
ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020
982020
Practical adversarial attacks against speaker recognition systems
Z Li, C Shi, Y Xie, J Liu, B Yuan, Y Chen
Proceedings of the 21st international workshop on mobile computing systems …, 2020
842020
Auditing privacy defenses in federated learning via generative gradient leakage
Z Li, J Zhang, L Liu, J Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
762022
Enabling fast and universal audio adversarial attack using generative model
Y Xie, Z Li, C Shi, J Liu, Y Chen, B Yuan
Proceedings of the AAAI conference on artificial intelligence 35 (16), 14129 …, 2021
582021
Robust detection of machine-induced audio attacks in intelligent audio systems with microphone array
Z Li, C Shi, T Zhang, Y Xie, J Liu, B Yuan, Y Chen
Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021
292021
Audio-domain position-independent backdoor attack via unnoticeable triggers
C Shi, T Zhang, Z Li, H Phan, T Zhao, Y Wang, J Liu, B Yuan, Y Chen
Proceedings of the 28th Annual International Conference on Mobile Computing …, 2022
222022
Real-time, robust and adaptive universal adversarial attacks against speaker recognition systems
Y Xie, Z Li, C Shi, J Liu, Y Chen, B Yuan
Journal of signal processing systems, 1-14, 2021
172021
BioFace-3D: Continuous 3D facial reconstruction through lightweight single-ear biosensors
Y Wu, V Kakaraparthi, Z Li, T Pham, J Liu, P Nguyen
Proceedings of the 27th Annual International Conference on Mobile Computing …, 2021
162021
Time to rethink the design of qi standard? security and privacy vulnerability analysis of qi wireless charging
Y Wu, Z Li, N Van Nostrand, J Liu
Proceedings of the 37th Annual Computer Security Applications Conference …, 2021
102021
Privacy-preserving speech-based depression diagnosis via federated learning
Y Cui, Z Li, L Liu, J Zhang, J Liu
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
72022
Byzantine-robust federated learning through spatial-temporal analysis of local model updates
Z Li, L Liu, J Zhang, J Liu
2021 IEEE 27th International Conference on Parallel and Distributed Systems …, 2021
72021
SAC: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency
J Zhang, Z Li, K Das, BA Malin, S Kumar
arXiv preprint arXiv:2311.01740, 2023
6*2023
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN
H Phan, C Shi, Y Xie, T Zhang, Z Li, T Zhao, J Liu, Y Wang, Y Chen, ...
European Conference on Computer Vision, 708-724, 2022
62022
HeatDeCam: detecting hidden spy cameras via thermal emissions
Z Yu, Z Li, Y Chang, S Fong, J Liu, N Zhang
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications …, 2022
42022
Fair and Privacy-Preserving Alzheimer's Disease Diagnosis Based on Spontaneous Speech Analysis via Federated Learning
SIA Meerza, Z Li, L Liu, J Zhang, J Liu
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
42022
Security and privacy in the age of cordless power world
Y Wu, Z Li, N Van Nostrand, J Liu
Proceedings of the 18th conference on embedded networked sensor systems, 717-718, 2020
42020
Speech privacy leakage from shared gradients in distributed learning
Z Li, J Zhang, J Liu
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
32023
Reconstruction distortion of learned image compression with imperceptible perturbations
Y Sui, Z Li, D Ding, X Pan, X Xu, S Liu, Z Chen
arXiv preprint arXiv:2306.01125, 2023
22023
Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?
A Lowy, Z Li, J Liu, T Koike-Akino, K Parsons, Y Wang
arXiv preprint arXiv:2402.09540, 2024
12024
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