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Publications [Google Scholar, DBLP]

Conference Papers

• Zihao Liu, Tianhao Wang, Mengdi Huai, and Chenglin Miao, "Backdoor Attacks via Machine Unlearning", the 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, February 2024. [PDF]
  
• Zihao Liu, Yan Zhang, and Chenglin Miao, "Protecting Your Voice from Speech Synthesis Attacks", the 39th Annual Computer Security Applications Conference (ACSAC 2023), Austin, USA, December 2023. [PDF] (Distinguished Paper Award)
  
• Yi Zhu, Chenglin Miao, Hongfei Xue, Zhengxiong Li, Yunnan Yu, Wenyao Xu, Lu Su, and Chunming Qiao, "TileMask: A Passive-reflection-based Attack against mmWave Radar Object Detection in Autonomous Driving", the 30th ACM Conference on Computer and Communications Security (CCS 2023), Copenhagen, Denmark, November 2023. [PDF]
  
• Hongfei Xue, Qiming Cao, Chenglin Miao, Yan Ju, Haochen Hu, and Lu Su, "Towards Generalized mmWave-based Human Pose Estimation through Signal Augmentation", the 29th ACM International Conference on Mobile Computing and Networking (MobiCom 2023), Madrid, Spain, October 2023. [PDF]
  
• Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang, and Fenglong Ma, "PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text", the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, USA, August 2023. [PDF]
  
• Yan Zhang, Yi Zhu, Zihao Liu, Chenglin Miao, Foad Hajiaghajani, Lu Su, and Chunming Qiao, "Towards Backdoor Attacks against LiDAR Object Detection in Autonomous Driving", the 20th ACM Conference on Embedded Networked Sensor Systems (SenSys 2022), Boston, USA, November 2022. [PDF]
  
• Muchao Ye, jinghui Chen, Chenglin Miao, Ting Wang, and Fenglong Ma, "LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization", the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2022), Washington DC, USA, August 2022. [PDF]
  
• Muchao Ye, Chenglin Miao, Ting Wang, and Fenglong Ma, "TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text", the 36th AAAI Conference on Artificial Intelligence (AAAI 2022), Vancouver, Canada, February 2022. [PDF]
  
• Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, and Aidong Zhang, "Towards Automating Model Explanations with Certified Robustness Guarantees", the 36th AAAI Conference on Artificial Intelligence (AAAI 2022), Vancouver, Canada, February 2022. [PDF]
  
• Yi Zhu, Chenglin Miao (co-first author), Tianhang Zheng, Foad Hajiaghajani, Lu Su, and Chunming Qiao, "Can We Use Arbitrary Objects to Attack LiDAR Perception in Autonomous Driving?", the 28th ACM Conference on Computer and Communications Security (CCS 2021), Virtual Conference, November 2021. [Video][PDF]
  
• Yi Zhu, Chenglin Miao, Foad Hajiaghajani, Mengdi Huai, Lu Su, and Chunming Qiao, "Adversarial Attacks against LiDAR Semantic Segmentation in Autonomous Driving", the 19th ACM Conference on Embedded Networked Sensor Systems (SenSys 2021), Virtual Conference, November 2021. [Video][PDF]
  
• Xinyi Xu, Lingjuan Lyu, Xingjun Ma, Chenglin Miao, Chuan-Sheng Foo, and Bryan Kian Hsiang Low, "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning", the 35th Annual Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual Conference, December 2021. [PDF]
  
• Hongfei Xue, Yan Ju, Chenglin Miao, Yijiang Wang, Shiyang Wang, Aidong Zhang, and Lu Su, "mmMesh: Towards 3D Real-Time Dynamic Human Mesh Construction Using Millimeter-wave", the 19th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2021), Virtual Conference, June 2021. [Video][PDF]
  
• Wenjun Jiang, Hongfei Xue, Chenglin Miao, Shiyang Wang, Sen Lin, Chong Tian, Srinivasan Murali, Haochen Hu, Zhi Sun, and Lu Su, "Towards 3D Human Pose Construction Using WiFi", the 26th ACM International Conference on Mobile Computing and Networking (MobiCom 2020), London, UK, September 2020. [Video][PDF]
  
• Hongfei Xue, Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shiyang Wang, Ye Yuan, Shuochao Yao, Aidong Zhang, and Lu Su, "DeepMV: Multi-View Deep Learning for Device-Free Human Activity Recognition", the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2020), Cancun, Mexico, September 2020. [PDF]
  
• Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, and Aidong Zhang, "Pairwise Learning with Differential Privacy Guarantees", the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, February 2020. [PDF]
  
• Mengdi Huai, Di Wang, Chenglin Miao, and Aidong Zhang, "Towards Interpretation of Pairwise Learning", the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, February 2020. [PDF]
  
• Mengdi Huai, Chenglin Miao, Jinduo Liu, Di Wang, Jingyuan Chou, and Aidong Zhang, "Global Interpretation for Patient Similarity Learning", the 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2020), Online, December 2020. [PDF]
  
• Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, and Bolin Ding, "Towards Differentially Private Truth Discovery for Crowd Sensing Systems", the 40th IEEE International Conference on Distributed Computing Systems (ICDCS 2020), Singapore, July 2020. [PDF]
  
• Hongfei Xue, Wenjun Jiang, Chenglin Miao, Ye Yuan, Fenglong Ma, Xin Ma, Yijiang Wang, Shuochao Yao, Wenyao Xu, Aidong Zhang, and Lu Su, "DeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data", the 20th ACM Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2019), Catania, Italy, July 2019. [PDF]
  
• Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Yaliang Li, Lu Su, and Kui Ren, "Data Poisoning Attack against Knowledge Graph Embedding", the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, August 2019. [PDF]
  
• Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, and Aidong Zhang, "Privacy-aware Synthesizing for Crowdsourced Data", the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, August 2019. [PDF]
  
• Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, and Aidong Zhang, "Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm", the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, August 2019. [PDF]
  
• Chenglin Miao, Qi Li, Houping Xiao, Wenjun Jiang, Mengdi Huai, and Lu Su, "Towards Data Poisoning Attacks in Crowd Sensing Systems", the 19th ACM Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2018), Los Angeles, USA, June 2018. [PDF] (Best Paper Award Nominee)
  
• Chenglin Miao, Qi Li, Lu Su, Mengdi Huai, Wenjun Jiang, and Jing Gao, "Attack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing", the World Wide Web Conference (WWW 2018), Lyon, France, April 2018. [PDF]
  
• Yaliang Li, Chenglin Miao (co-first author), Lu Su, Jing Gao, Qi Li, Bolin Ding, Zhan Qin, and Kui Ren, "An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery", the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, United Kingdom, August 2018. [PDF]
  
• Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, and Aidong Zhang, "Metric Learning from Probabilistic Labels", the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, United Kingdom, August 2018. [PDF]
  
• Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shuochao Yao, Yaqing Wang, Ye Yuan, Hongfei Xue, Chen Song, Xin Ma, Dimitrios Koutsonikolas, Wenyao Xu, and Lu Su, "Towards Environment Independent Device Free Human Activity Recognition ", the 24th Annual International Conference on Mobile Computing and Networking (MobiCom 2018), New Delhi, India, October 2018. [Video][PDF]
  
• Wenjun Jiang, Qi Li, Lu Su, Chenglin Miao, Quanquan Gu, and Wenyao Xu, "Towards Personalized Learning in Mobile Sensing Systems", the 38th International Conference on Distributed Computing Systems (ICDCS 2018), Vienna, Austria, July 2018. [PDF]
  
• Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, and Aidong Zhang, "Uncorrelated Patient Similarity Learning", the 18th SIAM International Conference on Data Mining (SDM 2018), San Diego, USA, May 2018. [PDF]
  
• Chenglin Miao, Lu Su, Wenjun Jiang, Yaliang Li, and Miaomiao Tian, "A Lightweight Privacy-Preserving Truth Discovery Framework for Mobile Crowd Sensing Systems", the 36th IEEE International Conference on Computer Communications (INFOCOM 2017), Atlanta, USA, May 2017. [PDF]
  
• Chenglin Miao, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, and Kui Ren, "Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems", the 13th ACM Conference on Embedded Networked Sensor Systems (SenSys 2015), Seoul, South Korea, November 2015. [PDF]
• Chenglin Miao, Liusheng Huang, Weijie Guo, and Hongli Xu, "A Trustworthiness Evaluation Method for Wireless Sensor Nodes Based on D-S Evidence Theory", the 8th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2013), Zhangjiajie, China, August 2013. [PDF]
• Yadong Li, Donghui Hu, Chenglin Miao, and Yi Yuan, "A Traceable File Protection System with Transparent Encryption Technology", the International Conference on Internet Technology and Applications (iTAP 2011), Wuhan, China, August 2011. [PDF]

Journal Papers

• Jinyang Huang, Bin Liu, Chenglin Miao, Yan Lu, Qijia Zheng, Yu Wu, Jianchun Liu, Lu Su, and Chang Wen Chen, "PhaseAnti: an Anti-interference WiFi-based Activity Recognition System Using Interference-Independent Phase Component", IEEE Transactions on Mobile Computing (TMC), Vol. 22, No. 5, 2023. [PDF]
  
• Mengdi Huai, Tianhang Zheng, Chenglin Miao, Liuyi Yao, and Aidong Zhang, "On the Robustness of Metric Learning: An Adversarial Perspective", ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 16, No. 5, 2022. [PDF]
  
• Enshu Wang, Rong Ding, Zhaoxing Yang, Haiming Jin, Chenglin Miao, Lu Su, Fan Zhang, Chunming Qiao, and Xinbing Wang, "Joint Charging and Relocation Recommendation for E-Taxi Drivers via Multi-Agent Mean Field Hierarchical Reinforcement Learning", IEEE Transactions on Mobile Computing (TMC), Vol. 21, No. 4, 2022. [PDF]
  
• Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, and Aidong Zhang, "Learning Distance Metrics from Probabilistic Information", ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 14, No. 5, 2020. [PDF]
  
• Chenglin Miao, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, and Kui Ren, "Privacy-Preserving Truth Discovery in Crowd Sensing Systems", ACM Transactions on Sensor Networks (TOSN), Vol. 15, No. 1, 2019. [PDF]
  
• Wenjun Jiang, Chenglin Miao, Lu Su, Qi Li, Shaohan Hu, Shiguang Wang, Jing Gao, Hengchang Liu, Tarek F. Abdelzaher, Jiawei Han, Xue Liu, Yan Gao, and Lance Kaplan, "Towards Quality Aware Information Integration in Distributed Sensing Systems", IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 29, No. 1, 2018. [PDF]
  
• Weijie Guo, Liusheng Huang, Long Chen, Hongli Xu, and Chenglin Miao, "R-MAC: Risk-aware Dynamic MAC Protocol for Vehicular Cooperative Collision Avoidance System", International Journal of Distributed Sensor Networks (IJDSN), Vol. 9, No. 5, 2013. [PDF]