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Xiaoyu Cao
Xiaoyu Cao
Verified email at duke.edu
Title
Cited by
Cited by
Year
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
M Fang, X Cao, J Jia, NZ Gong
USENIX Security Symposium, 2019
3352019
Mitigating evasion attacks to deep neural networks via region-based classification
X Cao, NZ Gong
Proceedings of the 33rd Annual Computer Security Applications Conference …, 2017
1832017
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
X Cao, M Fang, J Liu, NZ Gong
NDSS 2021, 2021
802021
Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing
J Jia, X Cao, B Wang, NZ Gong
ICLR 2020, 2020
472020
On Certifying Robustness against Backdoor Attacks via Randomized Smoothing
B Wang, X Cao, NZ Gong
CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision, 2020, 2020
462020
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing
J Jia, B Wang, X Cao, NZ Gong
The Web Conference (WWW) 2020, 2020
462020
IPGuard: Protecting the Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary
X Cao, J Jia, NZ Gong
ACM ASIA Conference on Computer and Communications Security (ASIACCS), 2021
362021
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks
J Jia, X Cao, NZ Gong
AAAI Conference on Artificial Intelligence (AAAI), 2021
342021
Provably Secure Federated Learning against Malicious Clients
X Cao, J Jia, NZ Gong
AAAI Conference on Artificial Intelligence (AAAI), 2021
332021
Data Poisoning Attacks to Local Differential Privacy Protocols
X Cao, J Jia, NZ Gong
USENIX Security Symposium, 2021
272021
Piano: Proximity-based user authentication on voice-powered internet-of-things devices
NZ Gong, A Ozen, Y Wu, X Cao, R Shin, D Song, H Jin, X Bao
2017 IEEE 37th International Conference on Distributed Computing Systems …, 2017
232017
Certified robustness of graph neural networks against adversarial structural perturbation
B Wang, J Jia, X Cao, NZ Gong
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
192021
Certified Robustness of Nearest Neighbors against Data Poisoning Attacks
J Jia, X Cao, NZ Gong
arXiv preprint arXiv:2012.03765, 2020
182020
Understanding the Security of Deepfake Detection
X Cao, NZ Gong
International Conference on Digital Forensics and Cyber Crime, 360-378, 2022
42022
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations
J Jia, B Wang, X Cao, H Liu, NZ Gong
arXiv preprint arXiv:2011.07633, 2020
42020
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks
J Jia, Y Liu, X Cao, NZ Gong
AAAI, 2022
32022
MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients
X Cao, NZ Gong
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
32022
Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data
Y Wu, X Cao, J Jia, NZ Gong
arXiv preprint arXiv:2111.11534, 2021
32021
FaceGuard: Proactive Deepfake Detection
Y Yang, C Liang, H He, X Cao, NZ Gong
arXiv preprint arXiv:2109.05673, 2021
12021
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients
Z Zhang, X Cao, J Jia, N Zhenqiang Gong
arXiv e-prints, arXiv: 2207.09209, 2022
2022
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