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Weilin Xu
Weilin Xu
Research Scientist at Intel Labs
Verified email at intel.com - Homepage
Title
Cited by
Cited by
Year
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
W Xu, D Evans, Y Qi
Network and Distributed System Security Symposium 2018, 2018
22192018
Federated Learning in Medicine: Facilitating Multi-institutional Collaborations without Sharing Patient Data
MJ Sheller, B Edwards, GA Reina, J Martin, S Pati, A Kotrotsou, ...
Scientific Reports 10 (1), 1-12, 2020
13172020
Automatically Evading Classifiers
W Xu, Y Qi, D Evans
Network and Distributed System Security Symposium 2016, 2016
5352016
DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples
J Gao, B Wang, Z Lin, W Xu, Y Qi
ICLR 2017 Workshop, 2017
1172017
Security Risks in Deep Learning Implementations
Q Xiao, K Li, D Zhang, W Xu
2018 IEEE Security and Privacy Workshops (SPW), 123-128, 2018
852018
Feature Squeezing Mitigates and Detects Carlini/Wagner Adversarial Examples
W Xu, D Evans, Y Qi
arXiv preprint arXiv:1705.10686, 2017
762017
Robust principles: Architectural design principles for adversarially robust cnns
SY Peng, W Xu, C Cornelius, M Hull, K Li, R Duggal, M Phute, J Martin, ...
arXiv preprint arXiv:2308.16258, 2023
422023
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models
X He, Z Li, W Xu, C Cornelius, Y Zhang
arXiv preprint arXiv:2208.10445, 2022
282022
Perception deception: Physical adversarial attack challenges and tactics for dnn-based object detection
Z Zhong, W Xu, Y Jia, T Wei
Black Hat Europe, 2018
102018
Robarch: Designing robust architectures against adversarial attacks
SY Peng, W Xu, C Cornelius, K Li, R Duggal, DH Chau, J Martin
arXiv preprint arXiv:2301.03110, 2023
62023
Imperceptible Adversarial Examples in the Physical World
W Xu, S Szyller, C Cornelius, LM Rojas, M Arvinte, A Velasquez, J Martin, ...
arXiv preprint arXiv:2411.16622, 2024
2024
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