Neil Zhenqiang Gong

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Jinyuan JiaAssistant Professor, Penn StateDirección de correo verificada de psu.edu
Xiaoyu CaoPhD. Duke UniversityDirección de correo verificada de duke.edu
Binghui WangAssistant Professor, Illinois Institute of TechnologyDirección de correo verificada de iit.edu
Minghong FangUniversity of LouisvilleDirección de correo verificada de louisville.edu
Hongbin LiuPh.D. student, Duke University; Google DeepmindDirección de correo verificada de duke.edu
Dawn SongProfessor of Computer Science, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
Yupei LiuDuke UniversityDirección de correo verificada de duke.edu
Prateek MittalProfessor, Princeton UniversityDirección de correo verificada de princeton.edu
Yinzhi CaoJohns Hopkins UniversityDirección de correo verificada de jhu.edu
Zhengyuan JiangDuke UniversityDirección de correo verificada de duke.edu
Yuqi JiaDuke UniversityDirección de correo verificada de duke.edu
Jinghuai ZhangUCLA, ECEDirección de correo verificada de g.ucla.edu
Yuepeng HuDuke UniversityDirección de correo verificada de duke.edu
Elaine ShiCarnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Ninghui LiProfessor of Computer Science, Purdue UniversityDirección de correo verificada de cs.purdue.edu
Somesh JhaLubar Chair of Computer Science, University of WisconsinDirección de correo verificada de cs.wisc.edu
John C MitchellProfessor of Computer Science, Stanford UniversityDirección de correo verificada de Stanford.edu
Mihai ChristodorescuGoogleDirección de correo verificada de christodorescu.org
Xilong WangPh.D. student, Duke UniversityDirección de correo verificada de duke.edu

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Neil Zhenqiang Gong

Associate Professor, Duke University

Dirección de correo verificada de duke.edu - Página principal

Security AI Security Social Networks Security


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning M Fang, X Cao, J Jia, NZ Gong USENIX Security Symposium, 2020	1355	2020
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	708	2021
Stealing Hyperparameters in Machine Learning B Wang, NZ Gong IEEE Symposium on Security and Privacy, 2018	649	2018
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	457	2019
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	403	2012
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	332*	2014
TrustLLM: Trustworthiness in Large Language Models L Sun, Y Huang, H Wang, S Wu, Q Zhang, C Gao, Y Huang, W Lyu, ... International Conference on Machine Learning (ICML), 2024	309*	2024
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	274	2012
Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification X Cao, NZ Gong Annual Computer Security Applications Conference (ACSAC), 2017	260	2017
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts K Zhu, J Wang, J Zhou, Z Wang, H Chen, Y Wang, L Yang, W Ye, ... arXiv preprint arXiv:2306.04528, 2023	259	2023
Poisoning Attacks to Graph-Based Recommender Systems M Fang, G Yang, NZ Gong, J Liu Annual Computer Security Applications Conference (ACSAC), 2018	251	2018
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients Z Zhang, X Cao, J Jia, NZ Gong ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022	248	2022
Backdoor Attacks to Graph Neural Networks Z Zhang, J Jia, B Wang, NZ Gong ACM Symposium on Access Control Models and Technologies (SACMAT), 2021	244	2021
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	234	2014
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning J Jia, NZ Gong USENIX Security Symposium, 2018	214	2018
FLCert: Provably Secure Federated Learning against Poisoning Attacks X Cao, Z Zhang, J Jia, NZ Gong IEEE Transactions on Information Forensics and Security, 2022	210*	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	196	2022
Stealing Links from Graph Neural Networks X He, J Jia, M Backes, NZ Gong, Y Zhang USENIX Security Symposium, 2021	190	2021
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	183	2016
Influence function based data poisoning attacks to top-n recommender systems M Fang, NZ Gong, J Liu Proceedings of The Web Conference, 2020	178	2020

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