Yuan Hong - RankMe

153 papers A* 24A 7B 11C 1Misc 2Journal 88Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adversarial Attacks on Locally Private Graph Neural Networks. CoRR Matta Varun, Ajay Kumar Dhakar, Yuan Hong, Shamik Sural
2026	J	`jnl`	Lap2: Revisiting Laplace DP-SGD for High Dimensions via Majorization Theory. CoRR Meisam Mohammady, Qin Yang, Nicholas Stout, Ayesha Samreen, Han Wang, Christopher J. Quinn, Yuan Hong
2026	J	`jnl`	Theoretically Understanding Data Reconstruction Leakage in Federated Learning. Trans. Mach. Learn. Res. Binghui Zhang, Zifan Wang, Meng Pang, Yuan Hong, Binghui Wang
2025	J	`jnl`	Backdoor Attacks on Discrete Graph Diffusion Models. CoRR Jiawen Wang, Samin Karim, Yuan Hong, Binghui Wang
2025	B	`conf`	Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness. IJCNN Jieren Deng, Hanbin Hong, Aaron Palmer, Xin Zhou, Jinbo Bi, Kaleel Mahmood, Yuan Hong, Derek Aguiar
2025	—	`conf`	Concretely Efficient Constructions for Differentially Private Set Intersection. Inscrypt (2) Xinyu Peng, Yufei Wang, Weiran Liu, Liqiang Peng, Feng Han, Li Duan, Zhen Gu, Jianling Sun, Yuan Hong
2025	J	`jnl`	Concretely Efficient Correlated Oblivious Permutation. IACR Cryptol. ePrint Arch. Feng Han, Xiao Lan, Weiran Liu, Lei Zhang, Hao Ren, Lin Qu, Yuan Hong
2025	A*	`conf`	DPED: Multi-Layer Noise Distillation for Privacy-Preserving Text Embeddings. EMNLP Shuya Feng, Yuan Hong
2025	A*	`conf`	Delay-allowed Differentially Private Data Stream Release. NDSS Xiaochen Li, Zhan Qin, Kui Ren, Chen Gong, Shuya Feng, Yuan Hong, Tianhao Wang
2025	J	`jnl`	Distill Video Datasets into Images. CoRR Zhenghao Zhao, Haoxuan Wang, Kai Wang, Yuzhang Shang, Yuan Hong, Yan Yan
2025	—	`conf`	Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence. CODASPY Shuya Feng, Meisam Mohammady, Hanbin Hong, Shenao Yan, Ashish Kundu, Binghui Wang, Yuan Hong
2025	J	`jnl`	KPIR-C: Keyword PIR with Arbitrary Server-side Computation. IACR Cryptol. ePrint Arch. Ali Arastehfard, Weiran Liu, Qixian Zhou, Zinan Shen, Liqiang Peng, Lin Qu, Shuya Feng, Yuan Hong
2025	A*	`conf`	Learning Robust and Privacy-Preserving Representations via Information Theory. AAAI Binghui Zhang, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang
2025	A*	`conf`	PLRV-O: Advancing Differentially Private Deep Learning via Privacy Loss Random Variable Optimization. CCS Qin Yang, Nicholas Stout, Meisam Mohammady, Han Wang, Ayesha Samreen, Christopher J. Quinn, Yan Yan, Ashish Kundu, Yuan Hong
2025	J	`jnl`	PLRV-O: Advancing Differentially Private Deep Learning via Privacy Loss Random Variable Optimization. CoRR Qin Yang, Nicholas Stout, Meisam Mohammady, Han Wang, Ayesha Samreen, Christopher J. Quinn, Yan Yan, Ashish Kundu, Yuan Hong
2025	J	`jnl`	Practical, Generalizable and Robust Backdoor Attacks on Text-to-Image Diffusion Models. CoRR Haoran Dai, Jiawen Wang, Ruo Yang, Manali Sharma, Zhonghao Liao, Yuan Hong, Binghui Wang
2025	A*	`conf`	Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective. USENIX Security Symposium Nima Naderloui, Shenao Yan, Binghui Wang, Jie Fu, Wendy Hui Wang, Weiran Liu, Yuan Hong
2025	J	`jnl`	Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective. CoRR Nima Naderloui, Shenao Yan, Binghui Wang, Jie Fu, Wendy Hui Wang, Weiran Liu, Yuan Hong
2025	A*	`conf`	Safeguarding Graph Neural Networks against Topology Inference Attacks. CCS Jie Fu, Yuan Hong, Zhili Chen, Wendy Hui Wang
2025	J	`jnl`	Secure and Efficient L CoRR Ali Arastehfard, Weiran Liu, Joshua Lee, Bingyu Liu, Xuegang Ban, Yuan Hong
2025	—	`conf`	Secure and Efficient Video Inferences with Compressed 3-Dimensional Deep Neural Networks. CODASPY Bingyu Liu, Ali Arastehfard, Rujia Wang, Weiran Liu, Zhongjie Ba, Shanglin Zhou, Yuan Hong
2025	J	`jnl`	SecureV2X: An Efficient and Privacy-Preserving System for Vehicle-to-Everything (V2X) Applications. CoRR Joshua Lee, Ali Arastehfard, Weiran Liu, Xuegang Ban, Yuan Hong
2025	J	`jnl`	SoK: Taxonomy and Evaluation of Prompt Security in Large Language Models. CoRR Hanbin Hong, Shuya Feng, Nima Naderloui, Shenao Yan, Jingyu Zhang, Biying Liu, Ali Arastehfard, Heqing Huang, Yuan Hong
2025	J	`jnl`	Towards Strong Certified Defense with Universal Asymmetric Randomization. CoRR Hanbin Hong, Ashish Kundu, Ali Payani, Binghui Wang, Yuan Hong
2024	J	`jnl`	A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning. CoRR Yuxin Yang, Qiang Li, Chenfei Nie, Yuan Hong, Meng Pang, Binghui Wang
2024	A*	`conf`	An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection. USENIX Security Symposium Shenao Yan, Shen Wang, Yue Duan, Hanbin Hong, Kiho Lee, Doowon Kim, Yuan Hong
2024	J	`jnl`	An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection. CoRR Shenao Yan, Shen Wang, Yue Duan, Hanbin Hong, Kiho Lee, Doowon Kim, Yuan Hong
2024	A	`conf`	Breaking State-of-the-Art Poisoning Defenses to Federated Learning: An Optimization-Based Attack Framework. CIKM Yuxin Yang, Qiang Li, Chenfei Nie, Yuan Hong, Binghui Wang
2024	A*	`conf`	Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence. CCS Hanbin Hong, Xinyu Zhang, Binghui Wang, Zhongjie Ba, Yuan Hong
2024	J	`jnl`	Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness. CoRR Jieren Deng, Hanbin Hong, Aaron Palmer, Xin Zhou, Jinbo Bi, Kaleel Mahmood, Yuan Hong, Derek Aguiar
2024	A*	`conf`	DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming. SP Shuya Feng, Meisam Mohammady, Han Wang, Xiaochen Li, Zhan Qin, Yuan Hong
2024	J	`jnl`	Differentially Private Federated Learning: A Systematic Review. CoRR Jie Fu, Yuan Hong, Xinpeng Ling, Leixia Wang, Xun Ran, Zhiyu Sun, Wendy Hui Wang, Zhili Chen, Yang Cao
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`	Efficient Differentially Private Set Intersection. IACR Cryptol. ePrint Arch. Xinyu Peng, Yufei Wang, Weiran Liu, Liqiang Peng, Feng Han, Zhen Gu, Jianling Sun, Yuan Hong
2024	J	`jnl`	FLTracer: Accurate Poisoning Attack Provenance in Federated Learning. IEEE Trans. Inf. Forensics Secur. Xinyu Zhang, Qingyu Liu, Zhongjie Ba, Yuan Hong, Tianhang Zheng, Feng Lin, Li Lu, Kui Ren
2024	A*	`conf`	FedGMark: Certifiably Robust Watermarking for Federated Graph Learning. NeurIPS Yuxin Yang, Qiang Li, Yuan Hong, Binghui Wang
2024	J	`jnl`	FedGMark: Certifiably Robust Watermarking for Federated Graph Learning. CoRR Yuxin Yang, Qiang Li, Yuan Hong, Binghui Wang
2024	J	`jnl`	GALOT: Generative Active Learning via Optimizable Zero-shot Text-to-image Generation. CoRR Hanbin Hong, Shenao Yan, Shuya Feng, Yan Yan, Yuan Hong
2024	A*	`conf`	Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks. USENIX Security Symposium Sayedeh Leila Noorbakhsh, Binghui Zhang, Yuan Hong, Binghui Wang
2024	J	`jnl`	Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks. CoRR Sayedeh Leila Noorbakhsh, Binghui Zhang, Yuan Hong, Binghui Wang
2024	J	`jnl`	LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models. CoRR Qin Yang, Meisam Mohammady, Han Wang, Ali Payani, Ashish Kundu, Kai Shu, Yan Yan, Yuan Hong
2024	J	`jnl`	Learning Robust and Privacy-Preserving Representations via Information Theory. CoRR Binghui Zhang, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang
2024	J	`jnl`	Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory. Proc. ACM Manag. Data Xiaochen Li, Weiran Liu, Jian Lou, Yuan Hong, Lei Zhang, Zhan Qin, Kui Ren
2024	A*	`conf`	On the Faithfulness of Vision Transformer Explanations. CVPR Junyi Wu, Weitai Kang, Hao Tang, Yuan Hong, Yan Yan
2024	J	`jnl`	On the Faithfulness of Vision Transformer Explanations. CoRR Junyi Wu, Weitai Kang, Hao Tang, Yuan Hong, Yan Yan
2024	J	`jnl`	PrivacyAsst: Safeguarding User Privacy in Tool-Using Large Language Model Agents. IEEE Trans. Dependable Secur. Comput. Xinyu Zhang, Huiyu Xu, Zhongjie Ba, Zhibo Wang, Yuan Hong, Jian Liu, Zhan Qin, Kui Ren
2024	A*	`conf`	Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks. AAAI Caridad Arroyo Arevalo, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang
2024	A*	`conf`	Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks. SP Xinyu Zhang, Hanbin Hong, Yuan Hong, Peng Huang, Binghui Wang, Zhongjie Ba, Kui Ren
2024	—	`conf`	Towards Accurate and Stronger Local Differential Privacy for Federated Learning with Staircase Randomized Response. CODASPY Matta Varun, Shuya Feng, Han Wang, Shamik Sural, Yuan Hong
2024	J	`jnl`	Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective. CoRR Zifan Wang, Binghui Zhang, Meng Pang, Yuan Hong, Binghui Wang
2024	J	`jnl`	UniAP: Protecting Speech Privacy With Non-Targeted Universal Adversarial Perturbations. IEEE Trans. Dependable Secur. Comput. Peng Cheng, Yuexin Wu, Yuan Hong, Zhongjie Ba, Feng Lin, Li Lu, Kui Ren
2024	J	`jnl`	Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence. CoRR Shuya Feng, Meisam Mohammady, Hanbin Hong, Shenao Yan, Ashish Kundu, Binghui Wang, Yuan Hong
2023	J	`jnl`	A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing. IEEE Trans. Knowl. Data Eng. Shangyu Xie, Meisam Mohammady, Han Wang, Lingyu Wang, Jaideep Vaidya, Yuan Hong
2023	J	`jnl`	Certifiable Black-Box Attack: Ensuring Provably Successful Attack for Adversarial Examples. CoRR Hanbin Hong, Yuan Hong
2023	J	`jnl`	DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming. CoRR Shuya Feng, Meisam Mohammady, Han Wang, Xiaochen Li, Zhan Qin, Yuan Hong
2023	J	`jnl`	Encode and Permute that Database! Single-Server Private Information Retrieval with Constant Online Time, Communication, and Client-Side Storage. IACR Cryptol. ePrint Arch. Shuaishuai Li, Weiran Liu, Liqiang Peng, Cong Zhang, Xinwei Gao, Aiping Liang, Lei Zhang, Dongdai Lin, Yuan Hong
2023	J	`jnl`	FLTracer: Accurate Poisoning Attack Provenance in Federated Learning. CoRR Xinyu Zhang, Qingyu Liu, Zhongjie Ba, Yuan Hong, Tianhang Zheng, Feng Lin, Li Lu, Kui Ren
2023	J	`jnl`	FaceIDP: Face Identification Differential Privacy via Dictionary Learning Neural Networks. IEEE Access Lu Ou, Yi He, Shaolin Liao, Zheng Qin, Yuan Hong, Dafang Zhang, Xiaohua Jia
2023	J	`jnl`	Infrastructure-Enabled GPS Spoofing Detection and Correction. IEEE Trans. Intell. Transp. Syst. Feilong Wang, Yuan Hong, Xuegang Ban
2023	—	`conf`	Interpretation Attacks and Defenses on Predictive Models Using Electronic Health Records. ECML/PKDD (3) Fereshteh Razmi, Jian Lou, Yuan Hong, Li Xiong
2023	J	`jnl`	Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory. CoRR Xiaochen Li, Weiran Liu, Jian Lou, Yuan Hong, Lei Zhang, Zhan Qin, Kui Ren
2023	J	`jnl`	Stealthy 3D Poisoning Attack on Video Recognition Models. IEEE Trans. Dependable Secur. Comput. Shangyu Xie, Yan Yan, Yuan Hong
2023	J	`jnl`	Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning Against Attribute Inference Attacks. CoRR Caridad Arroyo Arevalo, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang
2023	J	`jnl`	Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks. CoRR Xinyu Zhang, Hanbin Hong, Yuan Hong, Peng Huang, Binghui Wang, Zhongjie Ba, Kui Ren
2022	A*	`conf`	A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing (Extended Abstract). ICDE Shangyu Xie, Meisam Mohammady, Han Wang, Lingyu Wang, Jaideep Vaidya, Yuan Hong
2022	A*	`conf`	A Model-Agnostic Approach to Differentially Private Topic Mining. KDD Han Wang, Jayashree Sharma, Shuya Feng, Kai Shu, Yuan Hong
2022	J	`jnl`	An Eye for an Eye: Defending against Gradient-based Attacks with Gradients. CoRR Hanbin Hong, Yuan Hong, Yu Kong
2022	J	`jnl`	Certified Adversarial Robustness via Anisotropic Randomized Smoothing. CoRR Hanbin Hong, Yuan Hong
2022	J	`jnl`	DPOAD: Differentially Private Outsourcing of Anomaly Detection through Iterative Sensitivity Learning. CoRR Meisam Mohammady, Han Wang, Lingyu Wang, Mengyuan Zhang, Yosr Jarraya, Suryadipta Majumdar, Makan Pourzandi, Mourad Debbabi, Yuan Hong
2022	—	`conf`	Differentially Private Instance Encoding against Privacy Attacks. NAACL-HLT (Student Research Workshop) Shangyu Xie, Yuan Hong
2022	—	`ed.`	Frontiers in Cyber Security - 4th International Conference, FCS 2021, Haikou, China, December 17-19, 2021, Revised Selected Papers FCS Chunjie Cao, Yuqing Zhang, Yuan Hong, Ding Wang
2022	A*	`conf`	L-SRR: Local Differential Privacy for Location-Based Services with Staircase Randomized Response. CCS Han Wang, Hanbin Hong, Li Xiong, Zhan Qin, Yuan Hong
2022	J	`jnl`	L-SRR: Local Differential Privacy for Location-Based Services with Staircase Randomized Response. CoRR Han Wang, Hanbin Hong, Li Xiong, Zhan Qin, Yuan Hong
2022	J	`jnl`	On Fair Classification with Mostly Private Sensitive Attributes. CoRR Canyu Chen, Yueqing Liang, Xiongxiao Xu, Shangyu Xie, Yuan Hong, Kai Shu
2022	J	`jnl`	OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization. CoRR Xiaochen Li, Yuke Hu, Weiran Liu, Hanwen Feng, Li Peng, Yuan Hong, Kui Ren, Zhan Qin
2022	J	`jnl`	OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization. Proc. VLDB Endow. Xiaochen Li, Yuke Hu, Weiran Liu, Hanwen Feng, Li Peng, Yuan Hong, Kui Ren, Zhan Qin
2022	A*	`conf`	Poster: Cryptographic Inferences for Video Deep Neural Networks. CCS Bingyu Liu, Rujia Wang, Zhongjie Ba, Shanglin Zhou, Caiwen Ding, Yuan Hong
2022	—	`ed.`	Proceedings of the 21st Workshop on Privacy in the Electronic Society, WPES2022, Los Angeles, CA, USA, 7 November 2022 WPES Yuan Hong, Lingyu Wang
2022	—	`conf`	UniCR: Universally Approximated Certified Robustness via Randomized Smoothing. ECCV (5) Hanbin Hong, Binghui Wang, Yuan Hong
2022	J	`jnl`	UniCR: Universally Approximated Certified Robustness via Randomized Smoothing. CoRR Hanbin Hong, Binghui Wang, Yuan Hong
2022	A*	`conf`	Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems. SP Shangyu Xie, Han Wang, Yu Kong, Yuan Hong
2022	A*	`conf`	WPES '22: 21st Workshop on Privacy in the Electronic Society. CCS Yuan Hong, Lingyu Wang
2021	J	`jnl`	A Multi-view Approach to Preserve Privacy and Utility in Network Trace Anonymization. ACM Trans. Priv. Secur. Meisam Mohammady, Momen Oqaily, Lingyu Wang, Yuan Hong, Habib Louafi, Makan Pourzandi, Mourad Debbabi
2021	J	`jnl`	Dynamic Pricing for Electric Vehicle Extreme Fast Charging. IEEE Trans. Intell. Transp. Syst. Cheng Fang, Haibing Lu, Yuan Hong, Shan Liu, Jasmine Chang
2021	J	`jnl`	Guest Editors' Introduction to the Joint Special Section on Secure and Emerging Collaborative Computing and Intelligent Systems. IEEE Trans. Dependable Secur. Comput. Yuan Hong, Valérie Issarny, Surya Nepal, Mudhakar Srivatsa
2021	J	`jnl`	Guest Editors' Introduction to the Joint Special Section on Secure and Emerging Collaborative Computing and Intelligent Systems. IEEE Trans. Emerg. Top. Comput. Yuan Hong, Valérie Issarny, Surya Nepal, Mudhakar Srivatsa
2021	A	`conf`	Poster: Privacy Preserving Divisible Double Auction with A Hybridized TEE-Blockchain System. ICDCS Bingyu Liu, Yuanzhou Yang, Rujia Wang, Yuan Hong
2021	J	`jnl`	Privacy preserving divisible double auction with a hybridized TEE-blockchain system. Cybersecur. Bingyu Liu, Shangyu Xie, Yuanzhou Yang, Rujia Wang, Yuan Hong
2021	Misc	`conf`	Privacy-Preserving Cloud-Based DNN Inference. ICASSP Shangyu Xie, Bingyu Liu, Yuan Hong
2021	J	`jnl`	Privacy-preserving Cloud-based DNN Inference. CoRR Shangyu Xie, Bingyu Liu, Yuan Hong
2021	—	`conf`	Reconstruction Attack on Instance Encoding for Language Understanding. EMNLP (1) Shangyu Xie, Yuan Hong
2021	J	`jnl`	Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems. CoRR Shangyu Xie, Han Wang, Yu Kong, Yuan Hong
2021	J	`jnl`	VTDP: Privately Sanitizing Fine-Grained Vehicle Trajectory Data With Boosted Utility. IEEE Trans. Dependable Secur. Comput. Bingyu Liu, Shangyu Xie, Han Wang, Yuan Hong, Xuegang Ban, Meisam Mohammady
2020	J	`jnl`	A distance matrix based algorithm for solving the traveling salesman problem. Oper. Res. Shengbin Wang, Weizhen Rao, Yuan Hong
2020	J	`jnl`	Algorithms and Applications to Weighted Rank-one Binary Matrix Factorization. ACM Trans. Manag. Inf. Syst. Haibing Lu, Xi Chen, Junmin Shi, Jaideep Vaidya, Vijayalakshmi Atluri, Yuan Hong, Wei Huang
2020	A	`conf`	LogBug: Generating Adversarial System Logs in Real Time. CIKM Jingyu Sun, Bingyu Liu, Yuan Hong
2020	J	`jnl`	Optimal energy-dissipation control for SOC based balancing in series connected Lithium-ion battery packs. Multim. Tools Appl. Yunlong Zhang, Yuan Hong, Ken Choi
2020	A	`conf`	PANDA: Privacy-Aware Double Auction for Divisible Resources without a Mediator. AAMAS Bingyu Liu, Shangyu Xie, Yuan Hong
2020	J	`jnl`	Pairing: Privately Balancing Multiparty Real-Time Supply and Demand on the Power Grid. IEEE Trans. Inf. Forensics Secur. Shangyu Xie, Yuan Hong, Peng-Jun Wan
2020	B	`conf`	Privacy Attributes-aware Message Passing Neural Network for Visual Privacy Attributes Classification. ICPR Hanbin Hong, Wentao Bao, Yuan Hong, Yu Kong
2020	A	`conf`	Privacy Preserving Distributed Energy Trading. ICDCS Shangyu Xie, Han Wang, Yuan Hong, My Thai
2020	J	`jnl`	Privacy Preserving Distributed Energy Trading. CoRR Shangyu Xie, Han Wang, Yuan Hong, My Thai
2020	B	`conf`	Publishing Video Data with Indistinguishable Objects. EDBT Han Wang, Yuan Hong, Yu Kong, Jaideep Vaidya
2020	J	`jnl`	R CoRR Meisam Mohammady, Shangyu Xie, Yuan Hong, Mengyuan Zhang, Lingyu Wang, Makan Pourzandi, Mourad Debbabi
2020	A*	`conf`	R2DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions. CCS Meisam Mohammady, Shangyu Xie, Yuan Hong, Mengyuan Zhang, Lingyu Wang, Makan Pourzandi, Mourad Debbabi
2020	J	`jnl`	Releasing Correlated Trajectories: Towards High Utility and Optimal Differential Privacy. IEEE Trans. Dependable Secur. Comput. Lu Ou, Zheng Qin, Shaolin Liao, Yuan Hong, Xiaohua Jia
2020	—	`conf`	Security, Privacy and Trust for Responsible Innovations and Governance. DG.O Vijay Atluri, Yuan Hong, Soon Ae Chun
2020	J	`jnl`	VideoDP: A Flexible Platform for Video Analytics with Differential Privacy. Proc. Priv. Enhancing Technol. Han Wang, Shangyu Xie, Yuan Hong
2019	A	`conf`	A Privacy Preserving Multiagent System for Load Balancing in the Smart Grid. AAMAS Shangyu Xie, Yuan Hong, Peng-Jun Wan
2019	J	`jnl`	Chinese address standardisation via hybrid approach combining statistical and rule-based methods. Int. J. Internet Enterp. Manag. Xi Chen, Cheng Fang, Jasmine Chang, Yanjiang Yang, Yuan Hong, Haibing Lu
2019	J	`jnl`	Exploring the Privacy Bound for Differential Privacy: From Theory to Practice. EAI Endorsed Trans. Security Safety Xianmang He, Yuan Hong, Yindong Chen
2019	J	`jnl`	Homogeneous and Mixed Energy Communities Discovery with Spatial-Temporal Net Energy. CoRR Shangyu Xie, Han Wang, Shengbin Wang, Haibing Lu, Yuan Hong, Dong Jin, Qi Liu
2019	C	`conf`	Imbalance-Aware Scheduler for Fast and Secure Ring ORAM Data Retrieval. ICCD Yuezhi Che, Yuan Hong, Rujia Wang
2019	J	`jnl`	VideoDP: A Universal Platform for Video Analytics with Differential Privacy. CoRR Han Wang, Shangyu Xie, Yuan Hong
2019	J	`jnl`	WIDER Face and Pedestrian Challenge 2018: Methods and Results. CoRR Chen Change Loy, Dahua Lin, Wanli Ouyang, Yuanjun Xiong, Shuo Yang, Qingqiu Huang, Dongzhan Zhou, Wei Xia, Quanquan Li, Ping Luo, Junjie Yan, Jianfeng Wang, Zuoxin Li, Ye Yuan, Boxun Li, Shuai Shao, Gang Yu, Fangyun Wei, Xiang Ming, Dong Chen, Shifeng Zhang, Cheng Chi, Zhen Lei, Stan Z. Li, Hongkai Zhang, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen, Wu Liu, Boyan Zhou, Huaxiong Li, Peng Cheng, Tao Mei, Artem Kukharenko, Artem Vasenin, Nikolay Sergievskiy, Hua Yang, Liangqi Li, Qiling Xu, Yuan Hong, Lin Chen, Mingjun Sun, Yirong Mao, Shiying Luo, Yongjun Li, Ruiping Wang, Qiaokang Xie, Ziyang Wu, Lei Lu, Yiheng Liu, Wengang Zhou
2018	—	`conf`	Enabling a Resilient and Self-healing PMU Infrastructure Using Centralized Network Control. SDN-NFV@CODASPY Yanfeng Qu, Xin Liu, Dong Jin, Yuan Hong, Chen Chen
2018	J	`jnl`	Fault-tolerant tile mining. Expert Syst. Appl. Haibing Lu, Wendong Zhu, Joseph Phan, Manoochehr Ghiassi, Yi Fang, Yuan Hong, Xiaoyun He
2018	A*	`conf`	Preserving Both Privacy and Utility in Network Trace Anonymization. CCS Meisam Mohammady, Lingyu Wang, Yuan Hong, Habib Louafi, Makan Pourzandi, Mourad Debbabi
2018	J	`jnl`	Preserving Both Privacy and Utility in Network Trace Anonymization. CoRR Meisam Mohammady, Lingyu Wang, Yuan Hong, Habib Louafi, Makan Pourzandi, Mourad Debbabi
2018	Misc	`conf`	Privacy Preserving and Collusion Resistant Energy Sharing. ICASSP Yuan Hong, Han Wang, Shangyu Xie, Bingyu Liu
2018	J	`jnl`	Securely Solving the Distributed Graph Coloring Problem. CoRR Yuan Hong, Jaideep Vaidya, Haibing Lu
2017	—	`conf`	Discovering energy communities for microgrids on the power grid. SmartGridComm Yuan Hong, Sanjay Goel, Haibing Lu, Shengbin Wang
2017	J	`jnl`	On the Robust and Stable Flowshop Scheduling Under Stochastic and Dynamic Disruptions. IEEE Trans. Engineering Management Feng Liu, Shengbin Wang, Yuan Hong, Xiaohang Yue
2017	J	`jnl`	Privacy Preserving Smart Meter Streaming Against Information Leakage of Appliance Status. IEEE Trans. Inf. Forensics Secur. Yuan Hong, Wen Ming Liu, Lingyu Wang
2017	J	`jnl`	Privacy Preserving and Collusion Resistant Energy Sharing. CoRR Yuan Hong, Han Wang, Shangyu Xie, Bingyu Liu
2016	J	`jnl`	Accurate and efficient query clustering via top ranked search results. Web Intell. Yuan Hong, Jaideep Vaidya, Haibing Lu, Wen Ming Liu
2016	—	`conf`	Information diffusion and opinion change during the gezi park protests: Homophily or social influence? ASIST Ersin Dincelli, Yuan Hong, Nic DePaula
2016	J	`jnl`	Privacy Preserving Linear Programming. CoRR Yuan Hong, Jaideep Vaidya, Nicholas Rizzo, Qi Liu
2015	J	`jnl`	Collaborative Search Log Sanitization: Toward Differential Privacy and Boosted Utility. IEEE Trans. Dependable Secur. Comput. Yuan Hong, Jaideep Vaidya, Haibing Lu, Panagiotis Karras, Sanjay Goel
2015	—	`ch.`	Cyber War Games: Strategic Jostling Among Traditional Adversaries. Cyber Warfare Sanjay Goel, Yuan Hong
2015	J	`jnl`	Privacy Preserving Driving Style Recognition. CoRR Nicholas Rizzo, Ethan Sprissler, Yuan Hong, Sanjay Goel
2015	—	`conf`	Privacy preserving driving style recognition. ICCVE Nicholas Rizzo, Ethan Sprissler, Yuan Hong, Sanjay Goel
2015	J	`jnl`	Towards user-oriented RBAC model. J. Comput. Secur. Haibing Lu, Yuan Hong, Yanjiang Yang, Lian Duan, Nazia Badar
2014	J	`jnl`	A Survey of Privacy-Aware Supply Chain Collaboration: From Theory to Applications. J. Inf. Syst. Yuan Hong, Jaideep Vaidya, Shengbin Wang
2014	J	`jnl`	An inference-proof approach to privacy-preserving horizontally partitioned linear programs. Optim. Lett. Yuan Hong, Jaideep Vaidya
2014	B	`conf`	Collaboratively Solving the Traveling Salesman Problem with Limited Disclosure. DBSec Yuan Hong, Jaideep Vaidya, Haibing Lu, Lingyu Wang
2014	B	`conf`	Dynamic Workflow Adjustment with Security Constraints. DBSec Haibing Lu, Yuan Hong, Yanjiang Yang, Yi Fang, Lian Duan
2013	—	`conf`	Differentially Private Naive Bayes Classification. Web Intelligence Jaideep Vaidya, Basit Shafiq, Anirban Basu, Yuan Hong
2013	B	`conf`	Towards User-Oriented RBAC Model. DBSec Haibing Lu, Yuan Hong, Yanjiang Yang, Lian Duan, Nazia Badar
2012	J	`jnl`	Constraint-Aware Role Mining via Extended Boolean Matrix Decomposition. IEEE Trans. Dependable Secur. Comput. Haibing Lu, Jaideep Vaidya, Vijayalakshmi Atluri, Yuan Hong
2012	B	`conf`	Differentially private search log sanitization with optimal output utility. EDBT Yuan Hong, Jaideep Vaidya, Haibing Lu, Mingrui Wu
2012	—	`conf`	Overlapping Clustering with Sparseness Constraints. ICDM Workshops Haibing Lu, Yuan Hong, W. Nick Street, Fei Wang, Hanghang Tong
2012	B	`conf`	Privacy-Preserving Subgraph Discovery. DBSec Danish Mehmood, Basit Shafiq, Jaideep Vaidya, Yuan Hong, Nabil R. Adam, Vijayalakshmi Atluri
2012	J	`jnl`	Secure and efficient distributed linear programming. J. Comput. Secur. Yuan Hong, Jaideep Vaidya, Haibing Lu
2011	J	`jnl`	Differentially Private Search Log Sanitization with Optimal Output Utility CoRR Yuan Hong, Jaideep Vaidya, Haibing Lu, Mingrui Wu
2011	B	`conf`	Efficient Distributed Linear Programming with Limited Disclosure. DBSec Yuan Hong, Jaideep Vaidya, Haibing Lu
2011	—	`conf`	Privacy-Preserving Tabu Search for Distributed Graph Coloring. SocialCom/PASSAT Yuan Hong, Jaideep Vaidya, Haibing Lu, Basit Shafiq
2011	—	`conf`	Search Engine Query Clustering Using Top-k Search Results. Web Intelligence Yuan Hong, Jaideep Vaidya, Haibing Lu
2009	A	`conf`	Effective anonymization of query logs. CIKM Yuan Hong, Xiaoyun He, Jaideep Vaidya, Nabil R. Adam, Vijayalakshmi Atluri
2009	A*	`conf`	Extended Boolean Matrix Decomposition. ICDM Haibing Lu, Jaideep Vaidya, Vijayalakshmi Atluri, Yuan Hong
2008	B	`conf`	Preserving Privacy in E-health Systems Using Hippocratic Databases. COMPSAC Yuan Hong, Shuo Lu, Qian Liu, Lingyu Wang, Rachida Dssouli
2008	B	`conf`	Securing Telehealth Applications in a Web-Based e-Health Portal. ARES Qian Liu, Shuo Lu, Yuan Hong, Lingyu Wang, Rachida Dssouli