Neil Zhenqiang Gong

260 papers A* 71A 16B 1C 3Journal 151Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CREDIT: Certified Ownership Verification of Deep Neural Networks Against Model Extraction Attacks. CoRR Bolin Shen, Zhan Cheng, Neil Zhenqiang Gong, Fan Yao, Yushun Dong
2026	J	`jnl`	Correct and Weight: A Simple Yet Effective Loss for Implicit Feedback Recommendation. CoRR Minglei Yin, Chuanbo Hu, Bin Liu, Neil Zhenqiang Gong, Yanfang Ye, Xin Li
2026	—	`conf`	Jailbreaking Safeguarded Text-to-Image Models via Large Language Models. EACL (Findings) Zhengyuan Jiang, Yuepeng Hu, Yuchen Yang, Yinzhi Cao, Neil Zhenqiang Gong
2026	J	`jnl`	RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty. CoRR Ziqian Zhang, Xingjian Hu, Yue Huang, Kai Zhang, Ruoxi Chen, Yixin Liu, Qingsong Wen, Kaidi Xu, Xiangliang Zhang, Neil Zhenqiang Gong, Lichao Sun
2025	J	`jnl`	A Critical Evaluation of Defenses against Prompt Injection Attacks. CoRR Yuqi Jia, Zedian Shao, Yupei Liu, Jinyuan Jia, Dawn Song, Neil Zhenqiang Gong
2025	J	`jnl`	A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments. CoRR Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong
2025	—	`conf`	A Survey on Model Extraction Attacks and Defenses for Large Language Models. KDD (2) Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong
2025	J	`jnl`	A Survey on Model Extraction Attacks and Defenses for Large Language Models. CoRR Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong
2025	J	`jnl`	A Survey on Post-training of Large Language Models. CoRR Guiyao Tie, Zeli Zhao, Dingjie Song, Fuyang Wei, Rong Zhou, Yurou Dai, Wen Yin, Zhejian Yang, Jiangyue Yan, Yao Su, Zhenhan Dai, Yifeng Xie, Yihan Cao, Lichao Sun, Pan Zhou, Lifang He, Hechang Chen, Yu Zhang, Qingsong Wen, Tianming Liu, Neil Zhenqiang Gong, Jiliang Tang, Caiming Xiong, Heng Ji, Philip S. Yu, Jianfeng Gao
2025	J	`jnl`	A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives. CoRR Kaixiang Zhao, Lincan Li, Kaize Ding, Neil Zhenqiang Gong, Yue Zhao, Yushun Dong
2025	A*	`conf`	A Transfer Attack to Image Watermarks. ICLR Yuepeng Hu, Zhengyuan Jiang, Moyang Guo, Neil Zhenqiang Gong
2025	J	`jnl`	Automating Safety Enhancement for LLM-based Agents with Synthetic Risk Scenarios. CoRR Xueyang Zhou, Weidong Wang, Lin Lu, Jiawen Shi, Guiyao Tie, Yongtian Xu, Lixing Chen, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun
2025	A*	`conf`	BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models. CVPR Zenghui Yuan, Jiawen Shi, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun
2025	J	`jnl`	BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models. CoRR Zenghui Yuan, Jiawen Shi, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun
2025	A*	`conf`	DataSentinel: A Game-Theoretic Detection of Prompt Injection Attacks. SP Yupei Liu, Yuqi Jia, Jinyuan Jia, Dawn Song, Neil Zhenqiang Gong
2025	J	`jnl`	DataSentinel: A Game-Theoretic Detection of Prompt Injection Attacks. CoRR Yupei Liu, Yuqi Jia, Jinyuan Jia, Dawn Song, Neil Zhenqiang Gong
2025	J	`jnl`	EditTrack: Detecting and Attributing AI-assisted Image Editing. CoRR Zhengyuan Jiang, Yuyang Zhang, Moyang Guo, Neil Zhenqiang Gong
2025	J	`jnl`	EnvInjection: Environmental Prompt Injection Attack to Multi-modal Web Agents. CoRR Xilong Wang, John Bloch, Zedian Shao, Yuepeng Hu, Shuyan Zhou, Neil Zhenqiang Gong
2025	A*	`conf`	Evaluating LLM-based Personal Information Extraction and Countermeasures. USENIX Security Symposium Yupei Liu, Yuqi Jia, Jinyuan Jia, Neil Zhenqiang Gong
2025	A*	`conf`	GRID: Protecting Training Graph from Link Stealing Attacks on GNN Models. SP Jiadong Lou, Xu Yuan, Rui Zhang, Xingliang Yuan, Neil Zhenqiang Gong, Nian-Feng Tzeng
2025	J	`jnl`	Instance-Level Data-Use Auditing of Visual ML Models. CoRR Zonghao Huang, Neil Zhenqiang Gong, Michael K. Reiter
2025	J	`jnl`	Jailbreaking Safeguarded Text-to-Image Models via Large Language Models. CoRR Zhengyuan Jiang, Yuepeng Hu, Yuchen Yang, Yinzhi Cao, Neil Zhenqiang Gong
2025	J	`jnl`	Large Reasoning Models in Agent Scenarios: Exploring the Necessity of Reasoning Capabilities. CoRR Xueyang Zhou, Guiyao Tie, Guowen Zhang, Weidong Wang, Zhigang Zuo, Di Wu, Duanfeng Chu, Pan Zhou, Lichao Sun, Neil Zhenqiang Gong
2025	A*	`conf`	Model Poisoning Attacks to Federated Learning via Multi-Round Consistency. CVPR Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong
2025	J	`jnl`	ObliInjection: Order-Oblivious Prompt Injection Attack to LLM Agents with Multi-source Data. CoRR Reachal Wang, Yuqi Jia, Neil Zhenqiang Gong
2025	J	`jnl`	On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. CoRR Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang
2025	J	`jnl`	Periodic Recovery From Poisoning Attacks in Machine Learning. IEEE Trans. Dependable Secur. Comput. Yuepeng Hu, Minghong Fang, Yuqi Jia, Hongbin Liu, Neil Zhenqiang Gong
2025	J	`jnl`	Poisoned-MRAG: Knowledge Poisoning Attacks to Multimodal Retrieval Augmented Generation. CoRR Yinuo Liu, Zenghui Yuan, Guiyao Tie, Jiawen Shi, Pan Zhou, Lichao Sun, Neil Zhenqiang Gong
2025	J	`jnl`	Prompt Injection Attack to Tool Selection in LLM Agents. CoRR Jiawen Shi, Zenghui Yuan, Guiyao Tie, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun
2025	J	`jnl`	PromptLocate: Localizing Prompt Injection Attacks. CoRR Yuqi Jia, Yupei Liu, Zedian Shao, Jinyuan Jia, Neil Zhenqiang Gong
2025	A*	`conf`	Provably Robust Federated Reinforcement Learning. WWW Minghong Fang, Xilong Wang, Neil Zhenqiang Gong
2025	J	`jnl`	Provably Robust Federated Reinforcement Learning. CoRR Minghong Fang, Xilong Wang, Neil Zhenqiang Gong
2025	J	`jnl`	SafeText: Safe Text-to-image Models via Aligning the Text Encoder. CoRR Yuepeng Hu, Zhengyuan Jiang, Neil Zhenqiang Gong
2025	J	`jnl`	SecInfer: Preventing Prompt Injection via Inference-time Scaling. CoRR Yupei Liu, Yanting Wang, Yuqi Jia, Jinyuan Jia, Neil Zhenqiang Gong
2025	J	`jnl`	Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework. ACM Trans. Manag. Inf. Syst. Minglei Yin, Bin Liu, Neil Zhenqiang Gong, Xin Li
2025	A*	`conf`	StringLLM: Understanding the String Processing Capability of Large Language Models. ICLR Xilong Wang, Hao Fu, Jindong Wang, Neil Zhenqiang Gong
2025	J	`jnl`	VideoMarkBench: Benchmarking Robustness of Video Watermarking. CoRR Zhengyuan Jiang, Moyang Guo, Kecen Li, Yuepeng Hu, Yupu Wang, Zhicong Huang, Cheng Hong, Neil Zhenqiang Gong
2025	J	`jnl`	WAInjectBench: Benchmarking Prompt Injection Detections for Web Agents. CoRR Yinuo Liu, Ruohan Xu, Xilong Wang, Yuqi Jia, Neil Zhenqiang Gong
2025	A*	`conf`	WebInject: Prompt Injection Attack to Web Agents. EMNLP Xilong Wang, John Bloch, Zedian Shao, Yuepeng Hu, Shuyan Zhou, Neil Zhenqiang Gong
2025	J	`jnl`	Zero-shot Autonomous Microscopy for Scalable and Intelligent Characterization of 2D Materials. CoRR Jingyun Yang, Ruoyan Avery Yin, Chi Jiang, Yuepeng Hu, Xiaokai Zhu, Xingjian Hu, Sutharsika Kumar, Xiao Wang, Xiaohua Zhai, Keran Rong, Yunyue Zhu, Tianyi Zhang, Zongyou Yin, Jing Kong, Neil Zhenqiang Gong, Zhichu Ren, Haozhe Wang
2024	A*	`conf`	A General Framework for Data-Use Auditing of ML Models. CCS Zonghao Huang, Neil Zhenqiang Gong, Michael K. Reiter
2024	J	`jnl`	A General Framework for Data-Use Auditing of ML Models. CoRR Zonghao Huang, Neil Zhenqiang Gong, Michael K. Reiter
2024	J	`jnl`	A Transfer Attack to Image Watermarks. CoRR Yuepeng Hu, Zhengyuan Jiang, Moyang Guo, Neil Zhenqiang Gong
2024	J	`jnl`	AudioMarkBench: Benchmarking Robustness of Audio Watermarking. CoRR Hongbin Liu, Moyang Guo, Zhengyuan Jiang, Lun Wang, Neil Zhenqiang Gong
2024	J	`jnl`	Automatically Generating Visual Hallucination Test Cases for Multimodal Large Language Models. CoRR Zhongye Liu, Hongbin Liu, Yuepeng Hu, Zedian Shao, Neil Zhenqiang Gong
2024	J	`jnl`	Byzantine-Robust Decentralized Federated Learning. CoRR Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu, Songtao Lu, Yuchen Liu, Neil Zhenqiang Gong
2024	—	`conf`	Certifiably Robust Image Watermark. ECCV (77) Zhengyuan Jiang, Moyang Guo, Yuepeng Hu, Jinyuan Jia, Neil Zhenqiang Gong
2024	J	`jnl`	Certifiably Robust Image Watermark. CoRR Zhengyuan Jiang, Moyang Guo, Yuepeng Hu, Jinyuan Jia, Neil Zhenqiang Gong
2024	A*	`conf`	Data Poisoning Based Backdoor Attacks to Contrastive Learning. CVPR Jinghuai Zhang, Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
2024	A*	`conf`	DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks. ICLR Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie
2024	J	`jnl`	Evaluating Large Language Model based Personal Information Extraction and Countermeasures. CoRR Yupei Liu, Yuqi Jia, Jinyuan Jia, Neil Zhenqiang Gong
2024	A*	`conf`	FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error. ICML Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong
2024	A*	`conf`	Formalizing and Benchmarking Prompt Injection Attacks and Defenses. USENIX Security Symposium Yupei Liu, Yuqi Jia, Runpeng Geng, Jinyuan Jia, Neil Zhenqiang Gong
2024	J	`jnl`	GradSafe: Detecting Unsafe Prompts for LLMs via Safety-Critical Gradient Analysis. CoRR Yueqi Xie, Minghong Fang, Renjie Pi, Neil Zhenqiang Gong
2024	J	`jnl`	Link Stealing Attacks Against Inductive Graph Neural Networks. CoRR Yixin Wu, Xinlei He, Pascal Berrang, Mathias Humbert, Michael Backes, Neil Zhenqiang Gong, Yang Zhang
2024	J	`jnl`	Link Stealing Attacks Against Inductive Graph Neural Networks. Proc. Priv. Enhancing Technol. Yixin Wu, Xinlei He, Pascal Berrang, Mathias Humbert, Michael Backes, Neil Zhenqiang Gong, Yang Zhang
2024	J	`jnl`	Making LLMs Vulnerable to Prompt Injection via Poisoning Alignment. CoRR Zedian Shao, Hongbin Liu, Jaden Mu, Neil Zhenqiang Gong
2024	A*	`conf`	MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use. ICLR Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun
2024	A*	`conf`	ModelGuard: Information-Theoretic Defense Against Model Extraction Attacks. USENIX Security Symposium Minxue Tang, Anna Dai, Louis DiValentin, Aolin Ding, Amin Hass, Neil Zhenqiang Gong, Yiran Chen, Hai (Helen) Li
2024	A*	`conf`	Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models. USENIX Security Symposium Hongbin Liu, Michael K. Reiter, Neil Zhenqiang Gong
2024	J	`jnl`	Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models. CoRR Hongbin Liu, Michael K. Reiter, Neil Zhenqiang Gong
2024	A*	`conf`	Optimization-based Prompt Injection Attack to LLM-as-a-Judge. CCS Jiawen Shi, Zenghui Yuan, Yinuo Liu, Yue Huang, Pan Zhou, Lichao Sun, Neil Zhenqiang Gong
2024	J	`jnl`	Optimization-based Prompt Injection Attack to LLM-as-a-Judge. CoRR Jiawen Shi, Zenghui Yuan, Yinuo Liu, Yue Huang, Pan Zhou, Lichao Sun, Neil Zhenqiang Gong
2024	J	`jnl`	PLeak: Prompt Leaking Attacks against Large Language Model Applications. CoRR Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Philippe Burlina, Yinzhi Cao
2024	J	`jnl`	PoisonedFL: Model Poisoning Attacks to Federated Learning via Multi-Round Consistency. CoRR Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong
2024	A*	`conf`	Poisoning Federated Recommender Systems with Fake Users. WWW Ming Yin, Yichang Xu, Minghong Fang, Neil Zhenqiang Gong
2024	J	`jnl`	Poisoning Federated Recommender Systems with Fake Users. CoRR Ming Yin, Yichang Xu, Minghong Fang, Neil Zhenqiang Gong
2024	A*	`conf`	Position: TrustLLM: Trustworthiness in Large Language Models. ICML Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, 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, Joaquin Vanschoren, John C. 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, Yong Chen, Yue Zhao
2024	—	`conf`	Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning. SP (Workshops) Hongbin Liu, Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong
2024	J	`jnl`	ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods. CoRR Roy Xie, Junlin Wang, Ruomin Huang, Minxing Zhang, Rong Ge, Jian Pei, Neil Zhenqiang Gong, Bhuwan Dhingra
2024	J	`jnl`	Refusing Safe Prompts for Multi-modal Large Language Models. CoRR Zedian Shao, Hongbin Liu, Yuepeng Hu, Neil Zhenqiang Gong
2024	—	`conf`	Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks. WWW (Companion Volume) Yichang Xu, Ming Yin, Minghong Fang, Neil Zhenqiang Gong
2024	J	`jnl`	Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks. CoRR Yichang Xu, Ming Yin, Minghong Fang, Neil Zhenqiang Gong
2024	J	`jnl`	Securing the Future of GenAI: Policy and Technology. IACR Cryptol. ePrint Arch. 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
2024	J	`jnl`	Self-Cognition in Large Language Models: An Exploratory Study. CoRR Dongping Chen, Jiawen Shi, Yao Wan, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun
2024	J	`jnl`	SoK: Gradient Leakage in Federated Learning. CoRR Jiacheng Du, Jiahui Hu, Zhibo Wang, Peng Sun, Neil Zhenqiang Gong, Kui Ren
2024	J	`jnl`	Stable Signature is Unstable: Removing Image Watermark from Diffusion Models. CoRR Yuepeng Hu, Zhengyuan Jiang, Moyang Guo, Neil Zhenqiang Gong
2024	J	`jnl`	StringLLM: Understanding the String Processing Capability of Large Language Models. CoRR Xilong Wang, Hao Fu, Jindong Wang, Neil Zhenqiang Gong
2024	J	`jnl`	Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning. CoRR Yuqi Jia, Minghong Fang, Hongbin Liu, Jinghuai Zhang, Neil Zhenqiang Gong
2024	J	`jnl`	TrustLLM: Trustworthiness in Large Language Models. CoRR 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, 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 C. 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
2024	—	`conf`	Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents. ECCV (78) Yuqi Jia, Saeed Vahidian, Jingwei Sun, Jianyi Zhang, Vyacheslav Kungurtsev, Neil Zhenqiang Gong, Yiran Chen
2024	J	`jnl`	Visual Hallucinations of Multi-modal Large Language Models. CoRR Wen Huang, Hongbin Liu, Minxin Guo, Neil Zhenqiang Gong
2024	J	`jnl`	Watermark-based Detection and Attribution of AI-Generated Content. CoRR Zhengyuan Jiang, Moyang Guo, Yuepeng Hu, Neil Zhenqiang Gong
2023	J	`jnl`	Competitive Advantage Attacks to Decentralized Federated Learning. CoRR Yuqi Jia, Minghong Fang, Neil Zhenqiang Gong
2023	J	`jnl`	DyVal: Graph-informed Dynamic Evaluation of Large Language Models. CoRR Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie
2023	A*	`conf`	Evading Watermark based Detection of AI-Generated Content. CCS Zhengyuan Jiang, Jinghuai Zhang, Neil Zhenqiang Gong
2023	J	`jnl`	Evading Watermark based Detection of AI-Generated Content. CoRR Zhengyuan Jiang, Jinghuai Zhang, Neil Zhenqiang Gong
2023	A*	`conf`	FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information. SP Xiaoyu Cao, Jinyuan Jia, Zaixi Zhang, Neil Zhenqiang Gong
2023	A*	`conf`	Fine-grained Poisoning Attack to Local Differential Privacy Protocols for Mean and Variance Estimation. USENIX Security Symposium Xiaoguang Li, Ninghui Li, Wenhai Sun, Neil Zhenqiang Gong, Hui Li
2023	A	`conf`	Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation. DSN Yuchen Yang, Haolin Yuan, Bo Hui, Neil Zhenqiang Gong, Neil Fendley, Philippe Burlina, Yinzhi Cao
2023	J	`jnl`	Generation-based fuzzing? Don't build a new generator, reuse! Comput. Secur. Chengbin Pang, Hongbin Liu, Yifan Wang, Neil Zhenqiang Gong, Bing Mao, Jun Xu
2023	—	`conf`	IPCert: Provably Robust Intellectual Property Protection for Machine Learning. ICCV (Workshops) Zhengyuan Jiang, Minghong Fang, Neil Zhenqiang Gong
2023	J	`jnl`	MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use. CoRR Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun
2023	A*	`conf`	PORE: Provably Robust Recommender Systems against Data Poisoning Attacks. USENIX Security Symposium Jinyuan Jia, Yupei Liu, Yuepeng Hu, Neil Zhenqiang Gong
2023	J	`jnl`	PORE: Provably Robust Recommender Systems against Data Poisoning Attacks. CoRR Jinyuan Jia, Yupei Liu, Yuepeng Hu, Neil Zhenqiang Gong
2023	A*	`conf`	PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees. CVPR Jinghuai Zhang, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong
2023	J	`jnl`	PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees. CoRR Jinghuai Zhang, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong
2023	A*	`conf`	PrivateFL: Accurate, Differentially Private Federated Learning via Personalized Data Transformation. USENIX Security Symposium Yuchen Yang, Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Yinzhi Cao
2023	J	`jnl`	Prompt Injection Attacks and Defenses in LLM-Integrated Applications. CoRR Yupei Liu, Yuqi Jia, Runpeng Geng, Jinyuan Jia, Neil Zhenqiang Gong
2023	J	`jnl`	PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. CoRR Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, Xing Xie
2023	A*	`conf`	REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service. NDSS Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong
2023	J	`jnl`	REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service. CoRR Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong
2023	J	`jnl`	Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework. CoRR Minglei Yin, Bin Liu, Neil Zhenqiang Gong, Xin Li
2023	J	`jnl`	SneakyPrompt: Evaluating Robustness of Text-to-image Generative Models' Safety Filters. CoRR Yuchen Yang, Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Yinzhi Cao
2023	J	`jnl`	Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents. CoRR Yuqi Jia, Saeed Vahidian, Jingwei Sun, Jianyi Zhang, Vyacheslav Kungurtsev, Neil Zhenqiang Gong, Yiran Chen
2022	A	`conf`	AFLGuard: Byzantine-robust Asynchronous Federated Learning. ACSAC Minghong Fang, Jia Liu, Neil Zhenqiang Gong, Elizabeth S. Bentley
2022	J	`jnl`	AFLGuard: Byzantine-robust Asynchronous Federated Learning. CoRR Minghong Fang, Jia Liu, Neil Zhenqiang Gong, Elizabeth S. Bentley
2022	—	`conf`	Addressing Heterogeneity in Federated Learning via Distributional Transformation. ECCV (38) Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
2022	J	`jnl`	Addressing Heterogeneity in Federated Learning via Distributional Transformation. CoRR Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
2022	A*	`conf`	Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations. ICLR Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu, Neil Zhenqiang Gong
2022	A*	`conf`	BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning. SP Jinyuan Jia, Yupei Liu, Neil Zhenqiang Gong
2022	A*	`conf`	Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks. AAAI Jinyuan Jia, Yupei Liu, Xiaoyu Cao, Neil Zhenqiang Gong
2022	J	`jnl`	CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning. CoRR Jinghuai Zhang, Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
2022	C	`conf`	Deep Neural Network Piration without Accuracy Loss. ICMLA Aritra Ray, Jinyuan Jia, Sohini Saha, Jayeeta Chaudhuri, Neil Zhenqiang Gong, Krishnendu Chakrabarty
2022	J	`jnl`	Distributed information encoding and decoding using self-organized spatial patterns. Patterns 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
2022	J	`jnl`	FLCert: Provably Secure Federated Learning Against Poisoning Attacks. IEEE Trans. Inf. Forensics Secur. Xiaoyu Cao, Zaixi Zhang, Jinyuan Jia, Neil Zhenqiang Gong
2022	J	`jnl`	FLCert: Provably Secure Federated Learning against Poisoning Attacks. CoRR Xiaoyu Cao, Zaixi Zhang, Jinyuan Jia, Neil Zhenqiang Gong
2022	A*	`conf`	FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients. KDD Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
2022	J	`jnl`	FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients. CoRR Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
2022	J	`jnl`	FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information. CoRR Xiaoyu Cao, Jinyuan Jia, Zaixi Zhang, Neil Zhenqiang Gong
2022	J	`jnl`	Fine-grained Poisoning Attacks to Local Differential Privacy Protocols for Mean and Variance Estimation. CoRR Xiaoguang Li, Neil Zhenqiang Gong, Ninghui Li, Wenhai Sun, Hui Li
2022	A	`conf`	GraphTrack: A Graph-based Cross-Device Tracking Framework. AsiaCCS Binghui Wang, Tianchen Zhou, Song Li, Yinzhi Cao, Neil Zhenqiang Gong
2022	J	`jnl`	GraphTrack: A Graph-based Cross-Device Tracking Framework. CoRR Binghui Wang, Tianchen Zhou, Song Li, Yinzhi Cao, Neil Zhenqiang Gong
2022	A*	`conf`	HERO: hessian-enhanced robust optimization for unifying and improving generalization and quantization performance. DAC Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong, Yiran Chen
2022	—	`conf`	MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients. CVPR Workshops Xiaoyu Cao, Neil Zhenqiang Gong
2022	J	`jnl`	MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients. CoRR Xiaoyu Cao, Neil Zhenqiang Gong
2022	A*	`conf`	MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples. NeurIPS Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong
2022	J	`jnl`	MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples. CoRR Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong
2022	A*	`conf`	PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning. USENIX Security Symposium Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
2022	J	`jnl`	PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning. CoRR Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
2022	A*	`conf`	Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data. USENIX Security Symposium Yongji Wu, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
2022	J	`jnl`	Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning. CoRR Hongbin Liu, Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong
2022	—	`conf`	Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning. ECCV (31) Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang
2022	J	`jnl`	Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning. CoRR Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang
2022	A*	`conf`	StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning. CCS Yupei Liu, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong
2022	J	`jnl`	StolenEncoder: Stealing Pre-trained Encoders. CoRR Yupei Liu, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong
2022	A	`conf`	Understanding Disparate Effects of Membership Inference Attacks and their Countermeasures. AsiaCCS Da Zhong, Haipei Sun, Jun Xu, Neil Zhenqiang Gong, Wendy Hui Wang
2021	J	`jnl`	10 Security and Privacy Problems in Self-Supervised Learning. CoRR Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong
2021	C	`conf`	Backdoor Attacks to Graph Neural Networks. SACMAT Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
2021	J	`jnl`	BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning. CoRR Jinyuan Jia, Yupei Liu, Neil Zhenqiang Gong
2021	A*	`conf`	Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation. KDD Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong
2021	A*	`conf`	Data Poisoning Attacks and Defenses to Crowdsourcing Systems. WWW Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu
2021	J	`jnl`	Data Poisoning Attacks and Defenses to Crowdsourcing Systems. CoRR Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu
2021	A*	`conf`	Data Poisoning Attacks to Deep Learning Based Recommender Systems. NDSS Hai Huang, Jiaming Mu, Neil Zhenqiang Gong, Qi Li, Bin Liu, Mingwei Xu
2021	J	`jnl`	Data Poisoning Attacks to Deep Learning Based Recommender Systems. CoRR Hai Huang, Jiaming Mu, Neil Zhenqiang Gong, Qi Li, Bin Liu, Mingwei Xu
2021	A*	`conf`	Data Poisoning Attacks to Local Differential Privacy Protocols. USENIX Security Symposium Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
2021	A*	`conf`	EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning. CCS Hongbin Liu, Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong
2021	J	`jnl`	EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning. CoRR Hongbin Liu, Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong
2021	A*	`conf`	FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping. NDSS Xiaoyu Cao, Minghong Fang, Jia Liu, Neil Zhenqiang Gong
2021	J	`jnl`	FaceGuard: Proactive Deepfake Detection. CoRR Yuankun Yang, Chenyue Liang, Hongyu He, Xiaoyu Cao, Neil Zhenqiang Gong
2021	J	`jnl`	HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance. CoRR Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong, Yiran Chen
2021	A	`conf`	IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary. AsiaCCS Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
2021	A*	`conf`	Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks. AAAI Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong
2021	A*	`conf`	Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. WWW Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang
2021	J	`jnl`	Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. CoRR Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang
2021	J	`jnl`	LogExtractor: Extracting digital evidence from android log messages via string and taint analysis. Digit. Investig. Chris Chao-Chun Cheng, Chen Shi, Neil Zhenqiang Gong, Yong Guan
2021	A	`conf`	On Detecting Growing-Up Behaviors of Malicious Accounts in Privacy-Centric Mobile Social Networks. ACSAC Zijie Yang, Binghui Wang, Haoran Li, Dong Yuan, Zhuotao Liu, Neil Zhenqiang Gong, Chang Liu, Qi Li, Xiao Liang, Shaofeng Hu
2021	A*	`conf`	On the Intrinsic Differential Privacy of Bagging. IJCAI Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
2021	A*	`conf`	PointGuard: Provably Robust 3D Point Cloud Classification. CVPR Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
2021	J	`jnl`	PointGuard: Provably Robust 3D Point Cloud Classification. CoRR Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
2021	J	`jnl`	Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data. CoRR Yongji Wu, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
2021	A*	`conf`	Practical Blind Membership Inference Attack via Differential Comparisons. NDSS Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
2021	J	`jnl`	Practical Blind Membership Inference Attack via Differential Comparisons. CoRR Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
2021	A*	`conf`	Provably Secure Federated Learning against Malicious Clients. AAAI Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
2021	J	`jnl`	Provably Secure Federated Learning against Malicious Clients. CoRR Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
2021	J	`jnl`	Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention. CoRR Yongji Wu, Lu Yin, Defu Lian, Mingyang Yin, Neil Zhenqiang Gong, Jingren Zhou, Hongxia Yang
2021	A	`conf`	Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes. AsiaCCS Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
2021	A*	`conf`	Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks. AAAI Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong
2021	A*	`conf`	Stealing Links from Graph Neural Networks. USENIX Security Symposium Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang
2021	—	`conf`	Understanding the Security of Deepfake Detection. ICDF2C Xiaoyu Cao, Neil Zhenqiang Gong
2021	J	`jnl`	Understanding the Security of Deepfake Detection. CoRR Xiaoyu Cao, Neil Zhenqiang Gong
2021	A*	`conf`	Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach. KDD Xiao Liang, Zheng Yang, Binghui Wang, Shaofeng Hu, Zijie Yang, Dong Yuan, Neil Zhenqiang Gong, Qi Li, Fang He
2020	J	`jnl`	Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations. CoRR Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu, Neil Zhenqiang Gong
2020	J	`jnl`	Backdoor Attacks to Graph Neural Networks. CoRR Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
2020	A*	`conf`	Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing. ICLR Jinyuan Jia, Xiaoyu Cao, Binghui Wang, Neil Zhenqiang Gong
2020	A*	`conf`	Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing. WWW Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong
2020	J	`jnl`	Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing. CoRR Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong
2020	J	`jnl`	Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation. CoRR Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong
2020	J	`jnl`	Certified Robustness of Nearest Neighbors against Data Poisoning Attacks. CoRR Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong
2020	—	`ch.`	Defending Against Machine Learning Based Inference Attacks via Adversarial Examples: Opportunities and Challenges. Adaptive Autonomous Secure Cyber Systems Jinyuan Jia, Neil Zhenqiang Gong
2020	J	`jnl`	FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping. CoRR Xiaoyu Cao, Minghong Fang, Jia Liu, Neil Zhenqiang Gong
2020	A*	`conf`	Influence Function based Data Poisoning Attacks to Top-N Recommender Systems. WWW Minghong Fang, Neil Zhenqiang Gong, Jia Liu
2020	J	`jnl`	Influence Function based Data Poisoning Attacks to Top-N Recommender Systems. CoRR Minghong Fang, Neil Zhenqiang Gong, Jia Liu
2020	J	`jnl`	Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks. CoRR Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong
2020	A*	`conf`	Local Model Poisoning Attacks to Byzantine-Robust Federated Learning. USENIX Security Symposium Minghong Fang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
2020	J	`jnl`	On Certifying Robustness against Backdoor Attacks via Randomized Smoothing. CoRR Binghui Wang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
2020	J	`jnl`	On the Intrinsic Differential Privacy of Bagging. CoRR Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
2020	J	`jnl`	Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes. CoRR Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
2020	J	`jnl`	Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks. CoRR Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong
2020	—	`conf`	State Estimation via Inference on a Probabilistic Graphical Model - A Different Perspective. ISGT Luke Myers, Binghui Wang, Neil Zhenqiang Gong, Daji Qiao
2020	J	`jnl`	Stealing Links from Graph Neural Networks. CoRR Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang
2019	A*	`conf`	Attacking Graph-based Classification via Manipulating the Graph Structure. CCS Binghui Wang, Neil Zhenqiang Gong
2019	J	`jnl`	Attacking Graph-based Classification via Manipulating the Graph Structure. CoRR Binghui Wang, Neil Zhenqiang Gong
2019	A*	`conf`	Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge. INFOCOM Jinyuan Jia, Neil Zhenqiang Gong
2019	J	`jnl`	Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing. CoRR Jinyuan Jia, Xiaoyu Cao, Binghui Wang, Neil Zhenqiang Gong
2019	A*	`conf`	Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study. KDD Zenghua Xia, Chang Liu, Neil Zhenqiang Gong, Qi Li, Yong Cui, Dawn Song
2019	J	`jnl`	Data Poisoning Attacks to Local Differential Privacy Protocols. CoRR Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
2019	J	`jnl`	Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges. CoRR Jinyuan Jia, Neil Zhenqiang Gong
2019	A*	`conf`	Detecting Fake Accounts in Online Social Networks at the Time of Registrations. CCS Dong Yuan, Yuanli Miao, Neil Zhenqiang Gong, Zheng Yang, Qi Li, Dawn Song, Qian Wang, Xiao Liang
2019	A*	`conf`	Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation. NDSS Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong
2019	J	`jnl`	IPGuard: Protecting the Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary. CoRR Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
2019	J	`jnl`	Local Model Poisoning Attacks to Byzantine-Robust Federated Learning. CoRR Minghong Fang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
2019	A*	`conf`	MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples. CCS Jinyuan Jia, Ahmed Salem, Michael Backes, Yang Zhang, Neil Zhenqiang Gong
2019	J	`jnl`	MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples. CoRR Jinyuan Jia, Ahmed Salem, Michael Backes, Yang Zhang, Neil Zhenqiang Gong
2019	J	`jnl`	Structure-Based Sybil Detection in Social Networks via Local Rule-Based Propagation. IEEE Trans. Netw. Sci. Eng. Binghui Wang, Jinyuan Jia, Le Zhang, Neil Zhenqiang Gong
2018	—	`conf`	A Dynamic Taint Analysis Tool for Android App Forensics. IEEE Symposium on Security and Privacy Workshops Zhen Xu, Chen Shi, Chris Chao-Chun Cheng, Neil Zhenqiang Gong, Yong Guan
2018	A*	`conf`	AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning. USENIX Security Symposium Jinyuan Jia, Neil Zhenqiang Gong
2018	J	`jnl`	AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning. CoRR Jinyuan Jia, Neil Zhenqiang Gong
2018	J	`jnl`	Attribute Inference Attacks in Online Social Networks. ACM Trans. Priv. Secur. Neil Zhenqiang Gong, Bin Liu
2018	J	`jnl`	Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge. CoRR Jinyuan Jia, Neil Zhenqiang Gong
2018	A*	`conf`	EviHunter: Identifying Digital Evidence in the Permanent Storage of Android Devices via Static Analysis. CCS Chris Chao-Chun Cheng, Chen Shi, Neil Zhenqiang Gong, Yong Guan
2018	J	`jnl`	EviHunter: Identifying Digital Evidence in the Permanent Storage of Android Devices via Static Analysis. CoRR Chris Chao-Chun Cheng, Chen Shi, Neil Zhenqiang Gong, Yong Guan
2018	J	`jnl`	Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation. CoRR Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong
2018	A	`conf`	Poisoning Attacks to Graph-Based Recommender Systems. ACSAC Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, Jia Liu
2018	J	`jnl`	Poisoning Attacks to Graph-Based Recommender Systems. CoRR Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, Jia Liu
2018	—	`conf`	SYBILFUSE: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection. CNS Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal
2018	A*	`conf`	Stealing Hyperparameters in Machine Learning. IEEE Symposium on Security and Privacy Binghui Wang, Neil Zhenqiang Gong
2018	J	`jnl`	Stealing Hyperparameters in Machine Learning. CoRR Binghui Wang, Neil Zhenqiang Gong
2018	J	`jnl`	Structure-based Sybil Detection in Social Networks via Local Rule-based Propagation. CoRR Binghui Wang, Jinyuan Jia, Le Zhang, Neil Zhenqiang Gong
2018	A	`conf`	SybilBlind: Detecting Fake Users in Online Social Networks Without Manual Labels. RAID Binghui Wang, Le Zhang, Neil Zhenqiang Gong
2018	J	`jnl`	SybilBlind: Detecting Fake Users in Online Social Networks without Manual Labels. CoRR Binghui Wang, Le Zhang, Neil Zhenqiang Gong
2018	J	`jnl`	SybilFuse: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection. CoRR Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal
2017	A*	`conf`	AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields. WWW Jinyuan Jia, Binghui Wang, Le Zhang, Neil Zhenqiang Gong
2017	A*	`conf`	Fake Co-visitation Injection Attacks to Recommender Systems. NDSS Guolei Yang, Neil Zhenqiang Gong, Ying Cai
2017	A*	`conf`	GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graphs. ICDM Binghui Wang, Neil Zhenqiang Gong, Hao Fu
2017	A	`conf`	Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification. ACSAC Xiaoyu Cao, Neil Zhenqiang Gong
2017	J	`jnl`	Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification. CoRR Xiaoyu Cao, Neil Zhenqiang Gong
2017	A	`conf`	PIANO: Proximity-Based User Authentication on Voice-Powered Internet-of-Things Devices. ICDCS Neil Zhenqiang Gong, Altay Ozen, Yu Wu, Xiaoyu Cao, Richard Shin, Dawn Song, Hongxia Jin, Xuan Bao
2017	J	`jnl`	PIANO: Proximity-based User Authentication on Voice-Powered Internet-of-Things Devices. CoRR Neil Zhenqiang Gong, Altay Ozen, Yu Wu, Xiaoyu Cao, Eui Chul Richard Shin, Dawn Xiaodong Song, Hongxia Jin, Xuan Bao
2017	A	`conf`	Random Walk Based Fake Account Detection in Online Social Networks. DSN Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
2017	J	`jnl`	Robust Spammer Detection in Microblogs: Leveraging User Carefulness. ACM Trans. Intell. Syst. Technol. Hao Fu, Xing Xie, Yong Rui, Neil Zhenqiang Gong, Guangzhong Sun, Enhong Chen
2017	A*	`conf`	SybilSCAR: Sybil detection in online social networks via local rule based propagation. INFOCOM Binghui Wang, Le Zhang, Neil Zhenqiang Gong
2016	A	`conf`	Forgery-Resistant Touch-based Authentication on Mobile Devices. AsiaCCS Neil Zhenqiang Gong, Mathias Payer, Reza Moazzezi, Mario Frank
2016	J	`jnl`	Seed-Based De-Anonymizability Quantification of Social Networks. IEEE Trans. Inf. Forensics Secur. Shouling Ji, Weiqing Li, Neil Zhenqiang Gong, Prateek Mittal, Raheem A. Beyah
2016	J	`jnl`	Structural Analysis of User Choices for Mobile App Recommendation. CoRR Bin Liu, Yao Wu, Neil Zhenqiang Gong, Junjie Wu, Hui Xiong, Martin Ester
2016	J	`jnl`	Structural Analysis of User Choices for Mobile App Recommendation. ACM Trans. Knowl. Discov. Data Bin Liu, Yao Wu, Neil Zhenqiang Gong, Junjie Wu, Hui Xiong, Martin Ester
2016	A*	`conf`	You Are Who You Know and How You Behave: Attribute Inference Attacks via Users' Social Friends and Behaviors. USENIX Security Symposium Neil Zhenqiang Gong, Bin Liu
2016	J	`jnl`	You are Who You Know and How You Behave: Attribute Inference Attacks via Users' Social Friends and Behaviors. CoRR Neil Zhenqiang Gong, Bin Liu
2015	A*	`conf`	On Your Social Network De-anonymizablity: Quantification and Large Scale Evaluation with Seed Knowledge. NDSS Shouling Ji, Weiqing Li, Neil Zhenqiang Gong, Prateek Mittal, Raheem A. Beyah
2015	A	`conf`	Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference. WSDM Bin Liu, Deguang Kong, Lei Cen, Neil Zhenqiang Gong, Hongxia Jin, Hui Xiong
2015	A	`conf`	Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework. CIKM Bing Hu, Bin Liu, Neil Zhenqiang Gong, Deguang Kong, Hongxia Jin
2015	J	`jnl`	SybilFrame: A Defense-in-Depth Framework for Structure-Based Sybil Detection. CoRR Peng Gao, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal
2015	J	`jnl`	Towards Forgery-Resistant Touch-based Biometric Authentication on Mobile Devices. CoRR Neil Zhenqiang Gong, Mathias Payer, Reza Moazzezi, Mario Frank
2015	J	`jnl`	What You Submit Is Who You Are: A Multimodal Approach for Deanonymizing Scientific Publications. IEEE Trans. Inf. Forensics Secur. Mathias Payer, Ling Huang, Neil Zhenqiang Gong, Kevin Borgolte, Mario Frank
2014	—	`conf`	Connect the dots by understanding user status and transitions. UbiComp Adjunct Xuan Bao, Yilin Shen, Neil Zhenqiang Gong, Hongxia Jin, Bing Hu
2014	J	`jnl`	Joint Link Prediction and Attribute Inference Using a Social-Attribute Network. ACM Trans. Intell. Syst. Technol. Neil Zhenqiang Gong, Ameet Talwalkar, Lester W. Mackey, Ling Huang, Eui Chul Richard Shin, Emil Stefanov, Elaine Shi, Dawn Song
2014	J	`jnl`	On the Security of Trustee-Based Social Authentications. IEEE Trans. Inf. Forensics Secur. Neil Zhenqiang Gong, Di Wang
2014	J	`jnl`	On the Security of Trustee-based Social Authentications. CoRR Neil Zhenqiang Gong, Di Wang
2014	J	`jnl`	Reciprocal versus parasocial relationships in online social networks. Soc. Netw. Anal. Min. Neil Zhenqiang Gong, Wenchang Xu
2014	J	`jnl`	SybilBelief: A Semi-Supervised Learning Approach for Structure-Based Sybil Detection. IEEE Trans. Inf. Forensics Secur. Neil Zhenqiang Gong, Mario Frank, Prateek Mittal
2013	J	`jnl`	Reciprocity in Social Networks: Measurements, Predictions, and Implications CoRR Neil Zhenqiang Gong, Wenchang Xu, Dawn Song
2013	J	`jnl`	SybilBelief: A Semi-supervised Learning Approach for Structure-based Sybil Detection. CoRR Neil Zhenqiang Gong, Mario Frank, Prateek Mittal
2012	J	`jnl`	Evolution of Social-Attribute Networks: Measurements, Modeling, and Implications using Google+ CoRR Neil Zhenqiang Gong, Wenchang Xu, Ling Huang, Prateek Mittal, Emil Stefanov, Vyas Sekar, Dawn Song
2012	A	`conf`	Evolution of social-attribute networks: measurements, modeling, and implications using google+. Internet Measurement Conference Neil Zhenqiang Gong, Wenchang Xu, Ling Huang, Prateek Mittal, Emil Stefanov, Vyas Sekar, Dawn Song
2012	A*	`conf`	On the Feasibility of Internet-Scale Author Identification. IEEE Symposium on Security and Privacy Arvind Narayanan, Hristo S. Paskov, Neil Zhenqiang Gong, John Bethencourt, Emil Stefanov, Eui Chul Richard Shin, Dawn Song
2011	C	`conf`	Efficient Approximate Top- APWeb Dongqu Chen, Guang-Zhong Sun, Neil Zhenqiang Gong
2011	—	`conf`	Efficient Top-K Query Algorithms Using Density Index. ICAIC (1) Dongqu Chen, Guang-Zhong Sun, Neil Zhenqiang Gong, Xiaoqiang Zhong
2011	J	`jnl`	Predicting Links and Inferring Attributes using a Social-Attribute Network (SAN) CoRR Neil Zhenqiang Gong, Ameet Talwalkar, Lester W. Mackey, Ling Huang, Eui Chul Richard Shin, Emil Stefanov, Elaine Shi, Dawn Song
2010	B	`conf`	Protecting Privacy in Location-Based Services Using K-Anonymity without Cloaked Region. Mobile Data Management Neil Zhenqiang Gong, Guangzhong Sun, Xing Xie
2009	—	`conf`	Efficient Top- Infoscale Neil Zhenqiang Gong, Guangzhong Sun, Jing Yuan, Yanjing Zhong