Neil Zhenqiang Gong

Neil Zhenqiang Gong

Duke University

H-index: 46

North America-United States

About Neil Zhenqiang Gong

Neil Zhenqiang Gong, With an exceptional h-index of 46 and a recent h-index of 45 (since 2020), a distinguished researcher at Duke University, specializes in the field of Security, AI Security, Social Networks Security, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

GradSafe: Detecting Unsafe Prompts for LLMs via Safety-Critical Gradient Analysis

Watermark-based Detection and Attribution of AI-Generated Content

DyVal: Graph-informed Dynamic Evaluation of Large Language Models

Poisoning Federated Recommender Systems with Fake Users

Optimization-based Prompt Injection Attack to LLM-as-a-Judge

SneakyPrompt: Jailbreaking Text-to-image Generative Models

TrustLLM: Trustworthiness in Large Language Models

Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning

Neil Zhenqiang Gong Information

University

Position

Assistant Professor

Citations(all)

7908

Citations(since 2020)

6683

Cited By

2852

hIndex(all)

46

hIndex(since 2020)

45

i10Index(all)

77

i10Index(since 2020)

74

Email

University Profile Page

Duke University

Google Scholar

View Google Scholar Profile

Neil Zhenqiang Gong Skills & Research Interests

Security

AI Security

Social Networks Security

Artificial Intelligence

Top articles of Neil Zhenqiang Gong

Title

Journal

Author(s)

Publication Date

GradSafe: Detecting Unsafe Prompts for LLMs via Safety-Critical Gradient Analysis

arXiv preprint arXiv:2402.13494

Yueqi Xie

Minghong Fang

Renjie Pi

Neil Gong

2024/2/21

Watermark-based Detection and Attribution of AI-Generated Content

arXiv preprint arXiv:2404.04254

Zhengyuan Jiang

Moyang Guo

Yuepeng Hu

Neil Zhenqiang Gong

2024/4/5

DyVal: Graph-informed Dynamic Evaluation of Large Language Models

arXiv preprint arXiv:2309.17167

Kaijie Zhu

Jiaao Chen

Jindong Wang

Neil Zhenqiang Gong

Diyi Yang

...

2023/9/29

Poisoning Federated Recommender Systems with Fake Users

Ming Yin

Yichang Xu

Minghong Fang

Neil Zhenqiang Gong

2024/2/18

Optimization-based Prompt Injection Attack to LLM-as-a-Judge

arXiv preprint arXiv:2403.17710

Jiawen Shi

Zenghui Yuan

Yinuo Liu

Yue Huang

Pan Zhou

...

2024/3/26

SneakyPrompt: Jailbreaking Text-to-image Generative Models

Yuchen Yang

Bo Hui

Haolin Yuan

Neil Gong

Yinzhi Cao

2024/2/1

TrustLLM: Trustworthiness in Large Language Models

arXiv preprint arXiv:2401.05561

Lichao Sun

Yue Huang

Haoran Wang

Siyuan Wu

Qihui Zhang

...

2024/1/10

Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning

Hongbin Liu

Wenjie Qu

Jinyuan Jia

Neil Zhenqiang Gong

2024

A Transfer Attack to Image Watermarks

arXiv preprint arXiv:2403.15365

Yuepeng Hu

Zhengyuan Jiang

Moyang Guo

Neil Gong

2024/3/22

SoK: Secure Human-centered Wireless Sensing

Proceedings on Privacy Enhancing Technologies

Wei Sun

Tingjun Chen

Neil Gong

2024

Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks

Yichang Xu

Ming Yin

Minghong Fang

Neil Zhenqiang Gong

2024/3/5

CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning

Jinghuai Zhang

Hongbin Liu

Jinyuan Jia

Neil Zhenqiang Gong

2024

Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models

Hongbin Liu

Michael K Reiter

Neil Zhenqiang Gong

2024

Visual Hallucinations of Multi-modal Large Language Models

arXiv preprint arXiv:2402.14683

Wen Huang

Hongbin Liu

Minxin Guo

Neil Zhenqiang Gong

2024/2/22

PoisonedFL: Model Poisoning Attacks to Federated Learning via Multi-Round Consistency

arXiv preprint arXiv:2404.15611

Yueqi Xie

Minghong Fang

Neil Zhenqiang Gong

2024/4/24

MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Yue Huang

Jiawen Shi

Yuan Li

Chenrui Fan

Siyuan Wu

...

2024

Prompt Injection Attacks and Defenses in LLM-Integrated Applications

arXiv preprint arXiv:2310.12815

Yupei Liu

Yuqi Jia

Runpeng Geng

Jinyuan Jia

Neil Zhenqiang Gong

2023/10/19

FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information

Xiaoyu Cao

Jinyuan Jia

Zaixi Zhang

Neil Zhenqiang Gong

2023

PORE: Provably Robust Recommender Systems against Data Poisoning Attacks

Jinyuan Jia

Yupei Liu

Yuepeng Hu

Neil Zhenqiang Gong

2023/3/26

10 Security and Privacy Problems in Large Foundation Models

Jinyuan Jia

Hongbin Liu

Neil Zhenqiang Gong

2023/8/11

See List of Professors in Neil Zhenqiang Gong University(Duke University)

Co-Authors

H-index: 143
Dawn Song

Dawn Song

University of California, Berkeley

H-index: 75
Ninghui Li

Ninghui Li

Purdue University

H-index: 56
Prateek Mittal

Prateek Mittal

Princeton University

H-index: 26
Binghui Wang

Binghui Wang

Duke University

H-index: 26
Yinzhi Cao

Yinzhi Cao

Johns Hopkins University

H-index: 23
Jinyuan Jia

Jinyuan Jia

Duke University

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