Chenglin Miao

Assistant Professor

Department of Computer Science
Iowa State University
Ames, IA 50011


Office: 228 Atanasoff Hall
Email: cmiao at iastate dot edu


Openings | Biography | Publications | Teaching | Professional Activities


Openings: I am looking for prospective Ph.D students. If you are interested in working with me, feel free to send me your CV. Graduate admission information can be found here.

Biography


I am currently an assistant professor in the Department of Computer Science at Iowa State University. Prior to joining Iowa State, I was an assistant professor of Computer Science at the University of Georgia from 2020 to 2022. I obtained my Ph.D. in Computer Science and Engineering from the State University of New York at Buffalo, where I was supervised by Prof. Lu Su. My research interests include the Internet of Things, cyber-physical systems, security and privacy, and artificial intelligence (AI). My current work primarily focuses on designing and deploying trustworthy AI techniques for mobile, embedded, and networked systems.

Selected Publications [Full List]


  • [NDSS'26] "Rethinking Fake Speech Detection: A Generalized Framework Leveraging Spectrogram Magnitude", the Network and Distributed System Security Symposium, February 2026.
  • [CCS'25] "Towards Real-Time Defense against Object-Based LiDAR Attacks in Autonomous Driving", the 32nd ACM Conference on Computer and Communications Security, October 2025.
  • [SenSys'24] "An Online Defense against Object-Based LiDAR Attacks in Autonomous Driving", the 22nd ACM Conference on Embedded Networked Sensor Systems, November 2024.
  • [MobiCom'24] "Malicious Attacks against Multi-Sensor Fusion in Autonomous Driving", the 30th Annual International Conference on Mobile Computing and Networking, November 2024.
  • [AAAI'24] "Backdoor Attacks via Machine Unlearning", the 38th Annual AAAI Conference on Artificial Intelligence, February 2024.
  • [ACSAC'23] "Protecting Your Voice from Speech Synthesis Attacks", the 39th Annual Computer Security Applications Conference, December 2023. (Distinguished Paper Award)
  • [CCS'23] "TileMask: A Passive-Reflection-based Attack against mmWave Radar Object Detection in Autonomous Driving", the 30th ACM Conference on Computer and Communications Security, November 2023.
  • [MobiCom'23] "Towards Generalized mmWave-based Human Pose Estimation through Signal Augmentation", the 29th Annual International Conference on Mobile Computing and Networking, October 2023.
  • [KDD'23] "PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text", the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 2023.
  • [SenSys'22] "Towards Backdoor Attacks against LiDAR Object Detection in Autonomous Driving", the 20th ACM Conference on Embedded Networked Sensor Systems, November 2022.
  • [KDD'22] "LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization", the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2022.
  • [AAAI'22] "TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text", the 36th AAAI Conference on Artificial Intelligence, February 2022.
  • [AAAI'22] "Towards Automating Model Explanations with Certified Robustness Guarantees", the 36th AAAI Conference on Artificial Intelligence, February 2022.
  • [TKDD] "On the Robustness of Metric Learning: An Adversarial Perspective", ACM Transactions on Knowledge Discovery from Data, Vol. 16, No. 5, 2022.
  • [CCS'21] "Can We Use Arbitrary Objects to Attack LiDAR Perception in Autonomous Driving?", the 28th ACM Conference on Computer and Communications Security, November 2021.[Video]
  • [SenSys'21] "Adversarial Attacks against LiDAR Semantic Segmentation in Autonomous Driving", the 19th ACM Conference on Embedded Networked Sensor Systems, November 2021.[Video]
  • [NeurIPS'21] "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning", the 35th Annual Conference on Neural Information Processing Systems, December 2021.
  • [MobiSys'21] "mmMesh: Towards 3D Real-Time Dynamic Human Mesh Construction Using Millimeter-wave", the 19th ACM International Conference on Mobile Systems, Applications, and Services, June 2021. [Video]
  • [TMC] "PhaseAnti: an Anti-interference WiFi-based Activity Recognition System Using Interference-Independent Phase Component", accepted by IEEE Transactions on Mobile Computing.
  • [MobiCom'20] "Towards 3D Human Pose Construction Using WiFi", the 26th ACM International Conference on Mobile Computing and Networking, September 2020. [Video]
  • [UbiComp'20] "DeepMV: Multi-View Deep Learning for Device-Free Human Activity Recognition", the ACM International Joint Conference on Pervasive and Ubiquitous Computing, September 2020.
  • [AAAI'20] "Pairwise Learning with Differential Privacy Guarantees", the 34th AAAI Conference on Artificial Intelligence, February 2020.
  • [AAAI'20] "Towards Interpretation of Pairwise Learning", the 34th AAAI Conference on Artificial Intelligence, February 2020.
  • [ICDCS'20] "Towards Differentially Private Truth Discovery for Crowd Sensing Systems", the 40th IEEE International Conference on Distributed Computing Systems, July 2020.
  • [MobiHoc'19] "DeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data", the 20th ACM Symposium on Mobile Ad Hoc Networking and Computing, July 2019.
  • [IJCAI'19] "Towards Data Poisoning Attack against Knowledge Graph Embedding", the 28th International Joint Conference on Artificial Intelligence, August 2019.
  • [MobiHoc'18] "Towards Data Poisoning Attacks in Crowd Sensing Systems", the 19th ACM Symposium on Mobile Ad Hoc Networking and Computing, June 2018. (Best Paper Award Nominee)
  • [WWW'18] "Attack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing", the World Wide Web Conference, April 2018.
  • [KDD'18] "An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery", the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2018.
  • [KDD'18] "Metric Learning from Probabilistic Labels", the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2018.
  • [MobiCom'18] "Towards Environment Independent Device Free Human Activity Recognition ", the 24th Annual International Conference on Mobile Computing and Networking, October 2018.
  • [ICDCS'18] "Towards Personalized Learning in Mobile Sensing Systems", the 38th International Conference on Distributed Computing Systems, July 2018.
  • [TPDS] "Towards Quality Aware Information Integration in Distributed Sensing Systems", IEEE Transactions on Parallel and Distributed Systems, Vol. 29, No. 1, 2018.
  • [INFOCOM'17] "A Lightweight Privacy-Preserving Truth Discovery Framework for Mobile Crowd Sensing Systems", the 36th IEEE International Conference on Computer Communications, May 2017.
  • [SenSys'15] "Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems", the 13th ACM Conference on Embedded Networked Sensor Systems, November 2015.

Teaching


  • Spring 2026, COMS 3520: Introduction to Operating Systems
  • Fall 2025, COMS 5520: Principle of Operating Systems
  • Spring 2025, COMS 4880/5880: Computer Networks
  • Fall 2024, COMS 5520: Principle of Operating Systems
  • Spring 2024, COMS 6720: Advanced Topics in Computational Intelligence
  • Fall 2023, COMS 5520: Principle of Operating Systems
  • Spring 2023, COMS 4880/5880: Computer Networks

Professional Activities

Program Committee Member

  • The 25th International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2024)
  • The 43rd IEEE International Conference on Computer Communications (INFOCOM 2024)
  • The 44th IEEE International Conference on Distributed Computing Systems (ICDCS 2024)
  • The 40th Annual Computer Security Applications Conference (ACSAC 2024)
  • The 12th International Conference on Learning Representations (ICLR 2024)
  • The 38th AAAI Conference on Artificial Intelligence (AAAI 2024)
  • The 39th Annual Computer Security Applications Conference (ACSAC 2023)
  • The 24th International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2023)
  • The 42nd IEEE International Conference on Computer Communications (INFOCOM 2023)
  • The 20th IEEE International Conference on Sensing, Communication and Networking (SECON 2023)
  • The 20th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2023)
  • The 37th AAAI Conference on Artificial Intelligence (AAAI 2023)
  • The 23rd International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2022)
  • The 19th IEEE International Conference on Sensing, Communication and Networking (SECON 2022)
  • The 19th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2022)
  • The 36th AAAI Conference on Artificial Intelligence (AAAI 2022), Senior Program Committee Member
  • The 41st IEEE International Conference on Computer Communications (INFOCOM 2022)
  • The 40th IEEE International Conference on Computer Communications (INFOCOM 2021)
  • The 35th AAAI Conference on Artificial Intelligence (AAAI 2021)
  • The 18th IEEE International Conference on Sensing, Communication and Networking (SECON 2021)
  • Journal Reviewer

  • IEEE/ACM Transactions on Networking (TON)
  • IEEE Transactions on Mobile Computing (TMC)
  • IEEE Transactions on Dependable and Secure Computing (TDSC)
  • IEEE Transactions on Information Forensics and Security (TIFS)
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • ACM Transactions on Sensor Networks (TOSN)
  • IEEE Transactions on Industrial Informatics (TII)
  • IEEE JSAC Special Issue on "Human-In-The-Loop Mobile Networks" (JSAC-HMN)
  • IEEE Transactions on Big Data (TBD)
  • Peer-to-Peer Networking and Applications
  • IEEE Communications Magazine
  • IEEE Network Magazine
  • IEEE Access