Jinyuan Jia - RankMe

150 papers A* 53A 5C 4Misc 2Journal 79Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EnsembleSHAP: Faithful and Certifiably Robust Attribution for Random Subspace Method. CoRR Yanting Wang, Jinyuan Jia
2026	J	`jnl`	PISmith: Reinforcement Learning-based Red Teaming for Prompt Injection Defenses. CoRR Chenlong Yin, Runpeng Geng, Yanting Wang, Jinyuan Jia
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`	AttnTrace: Attention-based Context Traceback for Long-Context LLMs. CoRR Yanting Wang, Runpeng Geng, Ying Chen, Jinyuan Jia
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	A*	`conf`	Evaluating LLM-based Personal Information Extraction and Countermeasures. USENIX Security Symposium Yupei Liu, Yuqi Jia, Jinyuan Jia, Neil Zhenqiang Gong
2025	C	`conf`	Hand-Grip Strength Estimation through Bioacoustic Sensing. BSN Rakshita Ranganath, Zhi Zhang, Yuliang Fu, Jinyuan Jia, Ying Chen, Huining Li, Chenhan Xu
2025	J	`jnl`	PISanitizer: Preventing Prompt Injection to Long-Context LLMs via Prompt Sanitization. CoRR Runpeng Geng, Yanting Wang, Chenlong Yin, Minhao Cheng, Ying Chen, Jinyuan Jia
2025	J	`jnl`	PIShield: Detecting Prompt Injection Attacks via Intrinsic LLM Features. CoRR Wei Zou, Yupei Liu, Yanting Wang, Ying Chen, Neil Gong, Jinyuan Jia
2025	A*	`conf`	PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models. USENIX Security Symposium Wei Zou, Runpeng Geng, Binghui Wang, Jinyuan Jia
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 Explainable Graph Neural Networks against Graph Perturbation Attacks. ICLR Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang
2025	J	`jnl`	Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks. CoRR Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang
2025	A*	`conf`	Provably Robust Multi-bit Watermarking for AI-generated Text. USENIX Security Symposium Wenjie Qu, Wengrui Zheng, Tianyang Tao, Dong Yin, Yanze Jiang, Zhihua Tian, Wei Zou, Jinyuan Jia, Jiaheng Zhang
2025	J	`jnl`	RepoMark: A Code Usage Auditing Framework for Code Large Language Models. CoRR Wenjie Qu, Yuguang Zhou, Bo Wang, Wengrui Zheng, Yuexin Li, Jinyuan Jia, Jiaheng Zhang
2025	J	`jnl`	SecInfer: Preventing Prompt Injection via Inference-time Scaling. CoRR Yupei Liu, Yanting Wang, Yuqi Jia, Jinyuan Jia, Neil Zhenqiang Gong
2025	Misc	`conf`	SecureGaze: Defending Gaze Estimation Against Backdoor Attacks. SenSys Lingyu Du, Yupei Liu, Jinyuan Jia, Guohao Lan
2025	J	`jnl`	SecureGaze: Defending Gaze Estimation Against Backdoor Attacks. CoRR Lingyu Du, Yupei Liu, Jinyuan Jia, Guohao Lan
2025	—	`conf`	Stealing Training Graphs from Graph Neural Networks. KDD (1) Minhua Lin, Enyan Dai, Junjie Xu, Jinyuan Jia, Xiang Zhang, Suhang Wang
2025	J	`jnl`	TASO: Jailbreak LLMs via Alternative Template and Suffix Optimization. CoRR Yanting Wang, Runpeng Geng, Jinghui Chen, Minhao Cheng, Jinyuan Jia
2025	A*	`conf`	TracLLM: A Generic Framework for Attributing Long Context LLMs. USENIX Security Symposium Yanting Wang, Wei Zou, Runpeng Geng, Jinyuan Jia
2025	J	`jnl`	TracLLM: A Generic Framework for Attributing Long Context LLMs. CoRR Yanting Wang, Wei Zou, Runpeng Geng, Jinyuan Jia
2025	A*	`conf`	TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning. AAAI Yupei Liu, Yanting Wang, Jinyuan Jia
2025	J	`jnl`	TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning. CoRR Yupei Liu, Yanting Wang, Jinyuan Jia
2025	J	`jnl`	UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation. CoRR Runpeng Geng, Yanting Wang, Ying Chen, Jinyuan Jia
2025	C	`conf`	mV-IMU: mmWave-Enabled Virtual Inertia Measurement Unit for High-Fidelity Activities of Daily Living Monitoring. BSN Zhi Zhang, Chongxin Zhong, Yuliang Fu, Ying Chen, Jinyuan Jia, Huining Li, Chenhan Xu
2024	A*	`conf`	ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning. USENIX Security Symposium Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bo Li, Radha Poovendran
2024	J	`jnl`	ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning. CoRR Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bo Li, Radha Poovendran
2024	J	`jnl`	Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning. CoRR Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Radha Poovendran
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 Free Backdoor Attacks. NeurIPS Bochuan Cao, Jinyuan Jia, Chuxuan Hu, Wenbo Guo, Zhen Xiang, Jinghui Chen, Bo Li, Dawn Song
2024	J	`jnl`	Data Free Backdoor Attacks. CoRR Bochuan Cao, Jinyuan Jia, Chuxuan Hu, Wenbo Guo, Zhen Xiang, Jinghui Chen, Bo Li, Dawn Song
2024	A*	`conf`	Data Poisoning Based Backdoor Attacks to Contrastive Learning. CVPR Jinghuai Zhang, Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
2024	J	`jnl`	Defending Deep Regression Models against Backdoor Attacks. CoRR Lingyu Du, Yupei Liu, Jinyuan Jia, Guohao Lan
2024	A*	`conf`	Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses. CCS Yuxin Yang, Qiang Li, Jinyuan Jia, Yuan Hong, Binghui Wang
2024	J	`jnl`	Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses. CoRR Yuxin Yang, Qiang Li, Jinyuan Jia, Yuan Hong, Binghui Wang
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`	FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models. SP Yanting Wang, Wei Zou, Jinyuan Jia
2024	J	`jnl`	FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models. CoRR Yanting Wang, Wei Zou, Jinyuan Jia
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	A*	`conf`	GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations. ICLR Zaishuo Xia, Han Yang, Binghui Wang, Jinyuan Jia
2024	A*	`conf`	Graph Neural Network Explanations are Fragile. ICML Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang
2024	J	`jnl`	Graph Neural Network Explanations are Fragile. CoRR Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang
2024	—	`conf`	Jailbreak Open-Sourced Large Language Models via Enforced Decoding. ACL (1) Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu
2024	A*	`conf`	MMCert: Provable Defense Against Adversarial Attacks to Multi-Modal Models. CVPR Yanting Wang, Hongye Fu, Wei Zou, Jinyuan Jia
2024	J	`jnl`	MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models. CoRR Yanting Wang, Hongye Fu, Wei Zou, Jinyuan Jia
2024	A	`conf`	POSTER: Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications. AsiaCCS Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran
2024	J	`jnl`	PoisonedRAG: Knowledge Poisoning Attacks to Retrieval-Augmented Generation of Large Language Models. CoRR Wei Zou, Runpeng Geng, Binghui Wang, Jinyuan Jia
2024	A	`conf`	Poster: Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning. AsiaCCS Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Radha Poovendran
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`	PrivateGaze: Preserving User Privacy in Black-box Mobile Gaze Tracking Services. CoRR Lingyu Du, Jinyuan Jia, Xucong Zhang, Guohao Lan
2024	J	`jnl`	PrivateGaze: Preserving User Privacy in Black-box Mobile Gaze Tracking Services. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Lingyu Du, Jinyuan Jia, Xucong Zhang, Guohao Lan
2024	J	`jnl`	Provably Robust Multi-bit Watermarking for AI-generated Text via Error Correction Code. CoRR Wenjie Qu, Dong Yin, Zixin He, Wei Zou, Tianyang Tao, Jinyuan Jia, Jiaheng Zhang
2024	A*	`conf`	SHINE: Shielding Backdoors in Deep Reinforcement Learning. ICML Zhuowen Yuan, Wenbo Guo, Jinyuan Jia, Bo Li, Dawn Song
2024	—	`conf`	SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding. ACL (1) Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bill Yuchen Lin, Radha Poovendran
2024	J	`jnl`	SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding. CoRR Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bill Yuchen Lin, Radha Poovendran
2024	J	`jnl`	Stealing Training Graphs from Graph Neural Networks. CoRR Minhua Lin, Enyan Dai, Junjie Xu, Jinyuan Jia, Xiang Zhang, Suhang Wang
2024	A*	`conf`	TextGuard: Provable Defense against Backdoor Attacks on Text Classification. NDSS Hengzhi Pei, Jinyuan Jia, Wenbo Guo, Bo Li, Dawn Song
2024	A*	`conf`	Towards General Robustness Verification of MaxPool-Based Convolutional Neural Networks via Tightening Linear Approximation. CVPR Yuan Xiao, Shiqing Ma, Juan Zhai, Chunrong Fang, Jinyuan Jia, Zhenyu Chen
2024	J	`jnl`	Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation. CoRR Yuan Xiao, Shiqing Ma, Juan Zhai, Chunrong Fang, Jinyuan Jia, Zhenyu Chen
2024	J	`jnl`	TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models. CoRR Yuzhou Nie, Yanting Wang, Jinyuan Jia, Michael J. De Lucia, Nathaniel D. Bastian, Wenbo Guo, Dawn Song
2023	A*	`conf`	A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning. NeurIPS Hangfan Zhang, Jinyuan Jia, Jinghui Chen, Lu Lin, Dinghao Wu
2023	A*	`conf`	FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning. NeurIPS Jinyuan Jia, Zhuowen Yuan, Dinuka Sahabandu, Luyao Niu, Arezoo Rajabi, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran
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`	Graph Contrastive Backdoor Attacks. ICML Hangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia, Dinghao Wu
2023	A*	`conf`	IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI. NeurIPS Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen
2023	J	`jnl`	IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI. CoRR Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen
2023	J	`jnl`	Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications. CoRR Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran
2023	J	`jnl`	On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused? CoRR Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu
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	J	`jnl`	Prompt Injection Attacks and Defenses in LLM-Integrated Applications. CoRR Yupei Liu, Yuqi Jia, Runpeng Geng, Jinyuan Jia, Neil Zhenqiang Gong
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	A*	`conf`	Screen Perturbation: Adversarial Attack and Defense on Under-Screen Camera. MobiCom Hanting Ye, Guohao Lan, Jinyuan Jia, Qing Wang
2023	J	`jnl`	TextGuard: Provable Defense against Backdoor Attacks on Text Classification. CoRR Hengzhi Pei, Jinyuan Jia, Wenbo Guo, Bo Li, Dawn Song
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`	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	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	—	`—`	Privacy Protection via Adversarial Examples. Jinyuan Jia
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
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 to Local Differential Privacy Protocols. USENIX Security Symposium Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
2021	Misc	`conf`	Detection Of Malicious DNS and Web Servers using Graph-Based Approaches. ICASSP Jinyuan Jia, Zheng Dong, Jie Li, Jack W. Stokes
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`	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`	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`	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	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
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`	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	J	`jnl`	Stealing Links from Graph Neural Networks. CoRR Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang
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	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`	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	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`	Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge. CoRR Jinyuan Jia, Neil Zhenqiang Gong
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	J	`jnl`	Structure-based Sybil Detection in Social Networks via Local Rule-based Propagation. CoRR Binghui Wang, Jinyuan Jia, Le Zhang, Neil Zhenqiang Gong
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`	Random Walk Based Fake Account Detection in Online Social Networks. DSN Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong