Neil Zhenqiang Gong

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 186

Top Venues

CoRR

USENIX Security Symposium

NDSS

CCS

Publications

Hongbin Liu, Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning. SP (Workshops) (2024)
Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks. ICLR (2024)
Jiawen Shi, Zenghui Yuan, Yinuo Liu, Yue Huang, Pan Zhou, Lichao Sun, Neil Zhenqiang Gong
Optimization-based Prompt Injection Attack to LLM-as-a-Judge. CoRR (2024)
Yueqi Xie, Minghong Fang, Renjie Pi, Neil Zhenqiang Gong
GradSafe: Detecting Unsafe Prompts for LLMs via Safety-Critical Gradient Analysis. CoRR (2024)
Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu, Songtao Lu, Yuchen Liu, Neil Zhenqiang Gong
Byzantine-Robust Decentralized Federated Learning. CoRR (2024)
Hongbin Liu, Michael K. Reiter, Neil Zhenqiang Gong
Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models. USENIX Security Symposium (2024)
Yupei Liu, Yuqi Jia, Runpeng Geng, Jinyuan Jia, Neil Zhenqiang Gong
Formalizing and Benchmarking Prompt Injection Attacks and Defenses. USENIX Security Symposium (2024)
Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong
PoisonedFL: Model Poisoning Attacks to Federated Learning via Multi-Round Consistency. CoRR (2024)
Yuepeng Hu, Zhengyuan Jiang, Moyang Guo, Neil Zhenqiang Gong
A Transfer Attack to Image Watermarks. CoRR (2024)
Yuepeng Hu, Zhengyuan Jiang, Moyang Guo, Neil Zhenqiang Gong
Stable Signature is Unstable: Removing Image Watermark from Diffusion Models. CoRR (2024)
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chao Zhang, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
TrustLLM: Trustworthiness in Large Language Models. CoRR (2024)
Yixin Wu, Xinlei He, Pascal Berrang, Mathias Humbert, Michael Backes, Neil Zhenqiang Gong, Yang Zhang
Link Stealing Attacks Against Inductive Graph Neural Networks. Proc. Priv. Enhancing Technol. 2024 (4) (2024)
Zhengyuan Jiang, Moyang Guo, Yuepeng Hu, Neil Zhenqiang Gong
Watermark-based Detection and Attribution of AI-Generated Content. CoRR (2024)
Zonghao Huang, Neil Zhenqiang Gong, Michael K. Reiter
A General Framework for Data-Use Auditing of ML Models. CoRR (2024)
Yichang Xu, Ming Yin, Minghong Fang, Neil Zhenqiang Gong
Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks. CoRR (2024)
Zedian Shao, Hongbin Liu, Yuepeng Hu, Neil Zhenqiang Gong
Refusing Safe Prompts for Multi-modal Large Language Models. CoRR (2024)
Hongbin Liu, Moyang Guo, Zhengyuan Jiang, Lun Wang, Neil Zhenqiang Gong
AudioMarkBench: Benchmarking Robustness of Audio Watermarking. CoRR (2024)
Mihai Christodorescu, Ryan Craven, Soheil Feizi, Neil Zhenqiang Gong, Mia Hoffmann, Somesh Jha, Zhengyuan Jiang, Mehrdad Saberi Kamarposhti, John C. Mitchell, Jessica Newman, Emelia Probasco, Yanjun Qi, Khawaja Shams, Matthew Turek
Securing the Future of GenAI: Policy and Technology. IACR Cryptol. ePrint Arch. 2024 (2024)
Hongbin Liu, Michael K. Reiter, Neil Zhenqiang Gong
Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models. CoRR (2024)
Roy Xie, Junlin Wang, Ruomin Huang, Minxing Zhang, Rong Ge, Jian Pei, Neil Zhenqiang Gong, Bhuwan Dhingra
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods. CoRR (2024)
Jiacheng Du, Jiahui Hu, Zhibo Wang, Peng Sun, Neil Zhenqiang Gong, Kui Ren
SoK: Gradient Leakage in Federated Learning. CoRR (2024)
Minxue Tang, Anna Dai, Louis DiValentin, Aolin Ding, Amin Hass, Neil Zhenqiang Gong, Yiran Chen, Hai (Helen) Li
ModelGuard: Information-Theoretic Defense Against Model Extraction Attacks. USENIX Security Symposium (2024)
Wen Huang, Hongbin Liu, Minxin Guo, Neil Zhenqiang Gong
Visual Hallucinations of Multi-modal Large Language Models. CoRR (2024)
Yuqi Jia, Minghong Fang, Hongbin Liu, Jinghuai Zhang, Neil Zhenqiang Gong
Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning. CoRR (2024)
Yichang Xu, Ming Yin, Minghong Fang, Neil Zhenqiang Gong
Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks. WWW (Companion Volume) (2024)
Ming Yin, Yichang Xu, Minghong Fang, Neil Zhenqiang Gong
Poisoning Federated Recommender Systems with Fake Users. WWW (2024)
Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use. ICLR (2024)
Yixin Wu, Xinlei He, Pascal Berrang, Mathias Humbert, Michael Backes, Neil Zhenqiang Gong, Yang Zhang
Link Stealing Attacks Against Inductive Graph Neural Networks. CoRR (2024)
Dongping Chen, Jiawen Shi, Yao Wan, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun
Self-Cognition in Large Language Models: An Exploratory Study. CoRR (2024)
Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Philippe Burlina, Yinzhi Cao
PLeak: Prompt Leaking Attacks against Large Language Model Applications. CoRR (2024)
Ming Yin, Yichang Xu, Minghong Fang, Neil Zhenqiang Gong
Poisoning Federated Recommender Systems with Fake Users. CoRR (2024)
Zhengyuan Jiang, Moyang Guo, Yuepeng Hu, Jinyuan Jia, Neil Zhenqiang Gong
Certifiably Robust Image Watermark. CoRR (2024)
Xiaoyu Cao, Jinyuan Jia, Zaixi Zhang, Neil Zhenqiang Gong
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information. SP (2023)
Zhengyuan Jiang, Jinghuai Zhang, Neil Zhenqiang Gong
Evading Watermark based Detection of AI-Generated Content. CoRR (2023)
Yuqi Jia, Minghong Fang, Neil Zhenqiang Gong
Competitive Advantage Attacks to Decentralized Federated Learning. CoRR (2023)
Yuqi Jia, Saeed Vahidian, Jingwei Sun, Jianyi Zhang, Vyacheslav Kungurtsev, Neil Zhenqiang Gong, Yiran Chen
Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents. CoRR (2023)
Jinghuai Zhang, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong
PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees. CVPR (2023)
Zhengyuan Jiang, Jinghuai Zhang, Neil Zhenqiang Gong
Evading Watermark based Detection of AI-Generated Content. CCS (2023)
Zhengyuan Jiang, Minghong Fang, Neil Zhenqiang Gong
IPCert: Provably Robust Intellectual Property Protection for Machine Learning. ICCV (Workshops) (2023)
Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, Xing Xie
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. CoRR (2023)
Jinyuan Jia, Yupei Liu, Yuepeng Hu, Neil Zhenqiang Gong
PORE: Provably Robust Recommender Systems against Data Poisoning Attacks. USENIX Security Symposium (2023)
Minglei Yin, Bin Liu, Neil Zhenqiang Gong, Xin Li
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework. CoRR (2023)
Yuchen Yang, Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Yinzhi Cao
PrivateFL: Accurate, Differentially Private Federated Learning via Personalized Data Transformation. USENIX Security Symposium (2023)
Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong
REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service. NDSS (2023)
Jinyuan Jia, Yupei Liu, Yuepeng Hu, Neil Zhenqiang Gong
PORE: Provably Robust Recommender Systems against Data Poisoning Attacks. CoRR (2023)
Xiaoguang Li, Ninghui Li, Wenhai Sun, Neil Zhenqiang Gong, Hui Li
Fine-grained Poisoning Attack to Local Differential Privacy Protocols for Mean and Variance Estimation. USENIX Security Symposium (2023)
Yupei Liu, Yuqi Jia, Runpeng Geng, Jinyuan Jia, Neil Zhenqiang Gong
Prompt Injection Attacks and Defenses in LLM-Integrated Applications. CoRR (2023)
Chengbin Pang, Hongbin Liu, Yifan Wang, Neil Zhenqiang Gong, Bing Mao, Jun Xu
Generation-based fuzzing? Don't build a new generator, reuse! Comput. Secur. 129 (2023)
Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use. CoRR (2023)
Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie
DyVal: Graph-informed Dynamic Evaluation of Large Language Models. CoRR (2023)
Yuchen Yang, Haolin Yuan, Bo Hui, Neil Zhenqiang Gong, Neil Fendley, Philippe Burlina, Yinzhi Cao
Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation. DSN (2023)
Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong
REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service. CoRR (2023)
Yuchen Yang, Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Yinzhi Cao
SneakyPrompt: Evaluating Robustness of Text-to-image Generative Models' Safety Filters. CoRR (2023)
Jinghuai Zhang, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong
PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees. CoRR (2023)
Binghui Wang, Tianchen Zhou, Song Li, Yinzhi Cao, Neil Zhenqiang Gong
GraphTrack: A Graph-based Cross-Device Tracking Framework. CoRR (2022)
Minghong Fang, Jia Liu, Neil Zhenqiang Gong, Elizabeth S. Bentley
AFLGuard: Byzantine-robust Asynchronous Federated Learning. CoRR (2022)
Jinyuan Jia, Yupei Liu, Xiaoyu Cao, Neil Zhenqiang Gong
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks. AAAI (2022)
Binghui Wang, Tianchen Zhou, Song Li, Yinzhi Cao, Neil Zhenqiang Gong
GraphTrack: A Graph-based Cross-Device Tracking Framework. AsiaCCS (2022)
Aritra Ray, Jinyuan Jia, Sohini Saha, Jayeeta Chaudhuri, Neil Zhenqiang Gong, Krishnendu Chakrabarty
Deep Neural Network Piration without Accuracy Loss. ICMLA (2022)
Xiaoguang Li, Neil Zhenqiang Gong, Ninghui Li, Wenhai Sun, Hui Li
Fine-grained Poisoning Attacks to Local Differential Privacy Protocols for Mean and Variance Estimation. CoRR (2022)
Hongbin Liu, Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning. CoRR (2022)
Xiaoyu Cao, Neil Zhenqiang Gong
MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients. CoRR (2022)
Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning. CoRR (2022)
Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong
MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples. CoRR (2022)
Jinghuai Zhang, Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning. CoRR (2022)
Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
Addressing Heterogeneity in Federated Learning via Distributional Transformation. CoRR (2022)
Yongji Wu, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data. USENIX Security Symposium (2022)
Xiaoyu Cao, Neil Zhenqiang Gong
MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients. CVPR Workshops (2022)
Yupei Liu, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong
StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning. CCS (2022)
Xiaoyu Cao, Zaixi Zhang, Jinyuan Jia, Neil Zhenqiang Gong
FLCert: Provably Secure Federated Learning against Poisoning Attacks. CoRR (2022)
Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong, Yiran Chen
HERO: hessian-enhanced robust optimization for unifying and improving generalization and quantization performance. DAC (2022)
Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients. KDD (2022)
Xiaoyu Cao, Zaixi Zhang, Jinyuan Jia, Neil Zhenqiang Gong
FLCert: Provably Secure Federated Learning Against Poisoning Attacks. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
Addressing Heterogeneity in Federated Learning via Distributional Transformation. ECCV (38) (2022)
Minghong Fang, Jia Liu, Neil Zhenqiang Gong, Elizabeth S. Bentley
AFLGuard: Byzantine-robust Asynchronous Federated Learning. ACSAC (2022)
Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning. CoRR (2022)
Xiaoyu Cao, Jinyuan Jia, Zaixi Zhang, Neil Zhenqiang Gong
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information. CoRR (2022)
Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu, Neil Zhenqiang Gong
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations. ICLR (2022)
Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients. CoRR (2022)
Jinyuan Jia, Yupei Liu, Neil Zhenqiang Gong
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning. IEEE Symposium on Security and Privacy (2022)
Yupei Liu, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong
StolenEncoder: Stealing Pre-trained Encoders. CoRR (2022)
Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong
MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples. NeurIPS (2022)
Jia Lu, Ryan Tsoi, Nan Luo, Yuanchi Ha, Shangying Wang, Minjun Kwak, Yasa Baig, Nicole Moiseyev, Shari Tian, Alison Zhang, Neil Zhenqiang Gong, Lingchong You
Distributed information encoding and decoding using self-organized spatial patterns. Patterns 3 (10) (2022)
Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning. ECCV (31) (2022)
Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning. USENIX Security Symposium (2022)
Da Zhong, Haipei Sun, Jun Xu, Neil Zhenqiang Gong, Wendy Hui Wang
Understanding Disparate Effects of Membership Inference Attacks and their Countermeasures. AsiaCCS (2022)
Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes. AsiaCCS (2021)
Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong
Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation. KDD (2021)
Yongji Wu, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data. CoRR (2021)
Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu
Data Poisoning Attacks and Defenses to Crowdsourcing Systems. WWW (2021)
Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
Data Poisoning Attacks to Local Differential Privacy Protocols. USENIX Security Symposium (2021)
Xiao Liang, Zheng Yang, Binghui Wang, Shaofeng Hu, Zijie Yang, Dong Yuan, Neil Zhenqiang Gong, Qi Li, Fang He
Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach. KDD (2021)
Jinyuan Jia, Yupei Liu, Neil Zhenqiang Gong
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning. CoRR (2021)
Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
PointGuard: Provably Robust 3D Point Cloud Classification. CoRR (2021)
Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
Practical Blind Membership Inference Attack via Differential Comparisons. NDSS (2021)
Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
On the Intrinsic Differential Privacy of Bagging. IJCAI (2021)
Yuankun Yang, Chenyue Liang, Hongyu He, Xiaoyu Cao, Neil Zhenqiang Gong
FaceGuard: Proactive Deepfake Detection. CoRR (2021)
Hai Huang, Jiaming Mu, Neil Zhenqiang Gong, Qi Li, Bin Liu, Mingwei Xu
Data Poisoning Attacks to Deep Learning Based Recommender Systems. CoRR (2021)
Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
PointGuard: Provably Robust 3D Point Cloud Classification. CVPR (2021)
Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong
10 Security and Privacy Problems in Self-Supervised Learning. CoRR (2021)

Neil Zhenqiang Gong.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Neil Zhenqiang Gong