Obserwuj
Neil Zhenqiang Gong
Neil Zhenqiang Gong
Assistant Professor, Duke University
Zweryfikowany adres z duke.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
M Fang, X Cao, J Jia, NZ Gong
USENIX Security Symposium, 2020
9162020
Stealing Hyperparameters in Machine Learning
B Wang, NZ Gong
IEEE Symposium on Security and Privacy, 2018
5702018
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
X Cao, M Fang, J Liu, NZ Gong
ISOC Network and Distributed System Security Symposium (NDSS), 2021
4012021
On the feasibility of internet-scale author identification
A Narayanan, H Paskov, NZ Gong, J Bethencourt, E Stefanov, ECR Shin, ...
IEEE Symposium on Security and Privacy, 2012
3932012
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples
J Jia, A Salem, M Backes, Y Zhang, NZ Gong
ACM Conference on Computer and Communications Security (CCS), 2019
3602019
Joint link prediction and attribute inference using a social-attribute network
NZ Gong, A Talwalkar, L Mackey, L Huang, ECR Shin, E Stefanov, ER Shi, ...
ACM Transactions on Intelligent Systems and Technology (TIST) 5 (2), 27, 2014
321*2014
Evolution of Social-Attribute Networks: Measurements, Modeling, and Implications using Google+
NZ Gong, W Xu, L Huang, P Mittal, E Stefanov, V Sekar, D Song
ACM Internet Measurement Conference (IMC), 2012
2652012
Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification
X Cao, NZ Gong
Annual Computer Security Applications Conference (ACSAC), 2017
2342017
SybilBelief: A Semi-supervised Learning Approach for Structure-based Sybil Detection
NZ Gong, M Frank, P Mittal
IEEE Transactions on Information Forensics and Security 9 (6), 2014
2182014
Poisoning Attacks to Graph-Based Recommender Systems
M Fang, G Yang, NZ Gong, J Liu
Annual Computer Security Applications Conference (ACSAC), 2018
2092018
Backdoor Attacks to Graph Neural Networks
Z Zhang, J Jia, B Wang, NZ Gong
ACM Symposium on Access Control Models and Technologies (SACMAT), 2021
1762021
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning
J Jia, NZ Gong
USENIX Security Symposium, 2018
1762018
You Are Who You Know and How You Behave: Attribute Inference Attacks via Users' Social Friends and Behaviors.
NZ Gong, B Liu
USENIX Security Symposium, 2016
1622016
Influence function based data poisoning attacks to top-n recommender systems
M Fang, NZ Gong, J Liu
Proceedings of The Web Conference, 2020
1452020
Attacking Graph-based Classification via Manipulating the Graph Structure
B Wang, NZ Gong
ACM Conference on Computer and Communications Security (CCS), 2019
1422019
On Your Social Network De-anonymizablity: Quantification and Large Scale Evaluation with Seed Knowledge
S Ji, W Li, NZ Gong, P Mittal, R Beyah
ISOC Network and Distributed System Security Symposium (NDSS), 2015
142*2015
Attribute inference attacks in online social networks
NZ Gong, B Liu
ACM Transactions on Privacy and Security (TOPS) 21 (1), 1-30, 2018
1382018
FLCert: Provably Secure Federated Learning against Poisoning Attacks
X Cao, Z Zhang, J Jia, NZ Gong
IEEE Transactions on Information Forensics and Security, 2022
137*2022
Badencoder: Backdoor attacks to pre-trained encoders in self-supervised learning
J Jia, Y Liu, NZ Gong
IEEE Symposium on Security and Privacy, 2022
1352022
Random walk based fake account detection in online social networks
J Jia, B Wang, NZ Gong
IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2017
1342017
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20