| 2026 | AsiaCCS | Concretely Efficient Correlated Oblivious Permutation. | Feng Han, Xiao Lan, Weiran Liu, Lei Zhang, Hao Ren, Lin Qu, Yuan Hong |
| 2026 | SAC | SecureV2X: An Efficient and Privacy-Preserving System for Vehicle-to-Everything (V2X) Applications. | Joshua Lee, Ali Arastehfard, Weiran Liu, Xuegang Ban, Yuan Hong |
| 2025 | AAAI | Learning Robust and Privacy-Preserving Representations via Information Theory. | Binghui Zhang, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang |
| 2025 | CCS | Safeguarding Graph Neural Networks against Topology Inference Attacks. | Jie Fu, Yuan Hong, Zhili Chen, Wendy Hui Wang |
| 2025 | CCS | PLRV-O: Advancing Differentially Private Deep Learning via Privacy Loss Random Variable Optimization. | Qin Yang, Nicholas Stout, Meisam Mohammady, Han Wang, Ayesha Samreen, Christopher J. Quinn, Yan Yan, Ashish Kundu, Yuan Hong |
| 2025 | EMNLP | DPED: Multi-Layer Noise Distillation for Privacy-Preserving Text Embeddings. | Shuya Feng, Yuan Hong |
| 2025 | IJCNN | Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness. | Jieren Deng, Hanbin Hong, Aaron Palmer, Xin Zhou, Jinbo Bi, Kaleel Mahmood, Yuan Hong, Derek Aguiar |
| 2025 | MICCAI | MedSoft-Diffusion: Medical Semantic-Guided Diffusion Model with Soft Mask Conditioning for Vertebral Disease Diagnosis. | Shidan He, Enyuan Hu, Zixuan Tang, Bin Chen, Dongdong Yu, Yuan Hong, Zhenzhong Liu, Mengtang Li, Lei Liu, Shen Zhao |
| 2025 | MICCAI | MIBF-Net: Multi-Modal Information Balanced Fusion Network for Clinical Diagnosis via Patient Narratives and Lesion Image. | Zixuan Tang, Bai Sun, Shidan He, Yuan Hong, Dongdong Yu, Zhenzhong Liu, Mengtang Li, Bin Chen, Shen Zhao |
| 2025 | NDSS | Delay-allowed Differentially Private Data Stream Release. | Xiaochen Li, Zhan Qin, Kui Ren, Chen Gong, Shuya Feng, Yuan Hong, Tianhao Wang |
| 2024 | AAAI | Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks. | Caridad Arroyo Arevalo, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang |
| 2024 | CCS | Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence. | Hanbin Hong, Xinyu Zhang, Binghui Wang, Zhongjie Ba, Yuan Hong |
| 2024 | CCS | Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses. | Yuxin Yang, Qiang Li, Jinyuan Jia, Yuan Hong, Binghui Wang |
| 2024 | CIKM | Breaking State-of-the-Art Poisoning Defenses to Federated Learning: An Optimization-Based Attack Framework. | Yuxin Yang, Qiang Li, Chenfei Nie, Yuan Hong, Binghui Wang |
| 2024 | CVPR | On the Faithfulness of Vision Transformer Explanations. | Junyi Wu, Weitai Kang, Hao Tang, Yuan Hong, Yan Yan |
| 2024 | MICCAI | VertFound: Synergizing Semantic and Spatial Understanding for Fine-Grained Vertebrae Classification via Foundation Models. | Yinhao Wu, Jinzhou Tang, Zequan Yao, Mingjie Li, Yuan Hong, Dongdong Yu, Zhifan Gao, Bin Chen, Shen Zhao |
| 2024 | SP | DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming. | Shuya Feng, Meisam Mohammady, Han Wang, Xiaochen Li, Zhan Qin, Yuan Hong |
| 2024 | SP | Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks. | Xinyu Zhang, Hanbin Hong, Yuan Hong, Peng Huang, Binghui Wang, Zhongjie Ba, Kui Ren |
| 2023 | GECCO | Evolutionary Mixed-Integer Optimization with Explicit Constraints. | Yuan Hong, Dirk Arnold |
| 2022 | CCS | WPES '22: 21st Workshop on Privacy in the Electronic Society. | Yuan Hong, Lingyu Wang |
| 2022 | CCS | Poster: Cryptographic Inferences for Video Deep Neural Networks. | Bingyu Liu, Rujia Wang, Zhongjie Ba, Shanglin Zhou, Caiwen Ding, Yuan Hong |
| 2022 | CCS | L-SRR: Local Differential Privacy for Location-Based Services with Staircase Randomized Response. | Han Wang, Hanbin Hong, Li Xiong, Zhan Qin, Yuan Hong |
| 2022 | ECCV | UniCR: Universally Approximated Certified Robustness via Randomized Smoothing. | Hanbin Hong, Binghui Wang, Yuan Hong |
| 2022 | ICDE | A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing (Extended Abstract). | Shangyu Xie, Meisam Mohammady, Han Wang, Lingyu Wang, Jaideep Vaidya, Yuan Hong |
| 2022 | KDD | A Model-Agnostic Approach to Differentially Private Topic Mining. | Han Wang, Jayashree Sharma, Shuya Feng, Kai Shu, Yuan Hong |
| 2022 | NAACL | Differentially Private Instance Encoding against Privacy Attacks. | Shangyu Xie, Yuan Hong |
| 2022 | SP | Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems. | Shangyu Xie, Han Wang, Yu Kong, Yuan Hong |
| 2021 | EMNLP | Reconstruction Attack on Instance Encoding for Language Understanding. | Shangyu Xie, Yuan Hong |
| 2021 | ICASSP | Privacy-Preserving Cloud-Based DNN Inference. | Shangyu Xie, Bingyu Liu, Yuan Hong |
| 2021 | ICDCS | Poster: Privacy Preserving Divisible Double Auction with A Hybridized TEE-Blockchain System. | Bingyu Liu, Yuanzhou Yang, Rujia Wang, Yuan Hong |
| 2020 | CCS | R2DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions. | Meisam Mohammady, Shangyu Xie, Yuan Hong, Mengyuan Zhang, Lingyu Wang, Makan Pourzandi, Mourad Debbabi |
| 2020 | CIKM | LogBug: Generating Adversarial System Logs in Real Time. | Jingyu Sun, Bingyu Liu, Yuan Hong |
| 2020 | EDBT | Publishing Video Data with Indistinguishable Objects. | Han Wang, Yuan Hong, Yu Kong, Jaideep Vaidya |
| 2020 | ICDCS | Privacy Preserving Distributed Energy Trading. | Shangyu Xie, Han Wang, Yuan Hong, My Thai |
| 2020 | ICPR | Privacy Attributes-aware Message Passing Neural Network for Visual Privacy Attributes Classification. | Hanbin Hong, Wentao Bao, Yuan Hong, Yu Kong |
| 2019 | ICCD | Imbalance-Aware Scheduler for Fast and Secure Ring ORAM Data Retrieval. | Yuezhi Che, Yuan Hong, Rujia Wang |
| 2018 | CCS | Preserving Both Privacy and Utility in Network Trace Anonymization. | Meisam Mohammady, Lingyu Wang, Yuan Hong, Habib Louafi, Makan Pourzandi, Mourad Debbabi |
| 2018 | ICASSP | Privacy Preserving and Collusion Resistant Energy Sharing. | Yuan Hong, Han Wang, Shangyu Xie, Bingyu Liu |
| 2014 | DBSEC | Collaboratively Solving the Traveling Salesman Problem with Limited Disclosure. | Yuan Hong, Jaideep Vaidya, Haibing Lu, Lingyu Wang |
| 2014 | DBSEC | Dynamic Workflow Adjustment with Security Constraints. | Haibing Lu, Yuan Hong, Yanjiang Yang, Yi Fang, Lian Duan |
| 2013 | DBSEC | Towards User-Oriented RBAC Model. | Haibing Lu, Yuan Hong, Yanjiang Yang, Lian Duan, Nazia Badar |
| 2013 | ICNC | Load forecasting using elastic gradient descent. | Yuan Hong, Changhao Xia, Shixiang Zhang, Lin Wu, Chao Yuan, Ying Huang, Xuxu Wang, Haifeng Zhu |
| 2012 | DBSEC | Privacy-Preserving Subgraph Discovery. | Danish Mehmood, Basit Shafiq, Jaideep Vaidya, Yuan Hong, Nabil R. Adam, Vijayalakshmi Atluri |
| 2012 | EDBT | Differentially private search log sanitization with optimal output utility. | Yuan Hong, Jaideep Vaidya, Haibing Lu, Mingrui Wu |
| 2012 | ICDM | Overlapping Clustering with Sparseness Constraints. | Haibing Lu, Yuan Hong, W. Nick Street, Fei Wang, Hanghang Tong |
| 2011 | DBSEC | Efficient Distributed Linear Programming with Limited Disclosure. | Yuan Hong, Jaideep Vaidya, Haibing Lu |
| 2009 | CIKM | Effective anonymization of query logs. | Yuan Hong, Xiaoyun He, Jaideep Vaidya, Nabil R. Adam, Vijayalakshmi Atluri |
| 2009 | ICDM | Extended Boolean Matrix Decomposition. | Haibing Lu, Jaideep Vaidya, Vijayalakshmi Atluri, Yuan Hong |
| 2009 | ICIG | A Simulation Based on Emotions Model for Virtual Human Crowds. | Bangquan Liu, Zhen Liu, Yuan Hong |
| 2008 | COMPSAC | Preserving Privacy in E-health Systems Using Hippocratic Databases. | Yuan Hong, Shuo Lu, Qian Liu, Lingyu Wang, Rachida Dssouli |
| 2007 | EGPGV | Parallel Reflective Symmetry Transformation for Volume Data. | Yuan Hong, Han-Wei Shen |
| 2005 | ICNC | Simulation and Visualization for DNA Computing in Microreactors. | Danny van Noort, Yuan Hong, Joseph Ibershoff, Jerzy W. Jaromczyk |