Scholar
Chenglin Miao
Google Scholar ID: QFs2tZoAAAAJ
Assistant Professor of Computer Science, Iowa State University
Citations & Impact
Citations
2,892
H-index
26
i10-index
36
Publications
20
Co-authors
11
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- - [NDSS'26] "Rethinking Fake Speech Detection: A Generalized Framework Leveraging Spectrogram Magnitude", the Network and Distributed System Security Symposium, San Diego, USA, 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, Taipei, October 2025
- - [SenSys'24] "An Online Defense against Object-Based LiDAR Attacks in Autonomous Driving", the 22nd ACM Conference on Embedded Networked Sensor Systems, Hangzhou, China, November 2024
- - [MobiCom'24] "Malicious Attacks against Multi-Sensor Fusion in Autonomous Driving", the 30th Annual International Conference on Mobile Computing and Networking, Washington, D.C., USA, November 2024
- - [AAAI'24] "Backdoor Attacks via Machine Unlearning", the 38th Annual AAAI Conference on Artificial Intelligence, Vancouver, Canada, February 2024
- - [ACSAC'23] "Protecting Your Voice from Speech Synthesis Attacks" (Distinguished Paper Award), the 39th Annual Computer Security Applications Conference, Austin, USA, December 2023
- - [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, Copenhagen, Denmark, November 2023
- - [MobiCom'23] "Towards Generalized mmWave-based Human Pose Estimation through Signal Augmentation", the 29th Annual International Conference on Mobile Computing and Networking, Madrid, Spain, 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, Long Beach, USA, August 2023
- - [SenSys'22] "Towards Backdoor Attacks against LiDAR Object Detection in Autonomous Driving", the 20th ACM Conference on Embedded Networked Sensor Systems, Boston, USA, 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, Washington DC, USA, August 2022
- - [AAAI'22] "TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text", the 36th AAAI Conference on Artificial Intelligence, Vancouver, Canada, February 2022
- - [AAAI'22] "Towards Automating Model Explanations with Certified Robustness Guarantees", the 36th AAAI Conference on Artificial Intelligence, Vancouver, Canada, 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, Virtual Conference, November 2021
- - [SenSys'21] "Adversarial Attacks against LiDAR Semantic Segmentation in Autonomous Driving"
Research Experience
- - Assistant Professor, Department of Computer Science, University of Georgia, 2020-2022
- - Currently an Assistant Professor, Department of Computer Science, Iowa State University
Education
- - Ph.D. in Computer Science and Engineering, State University of New York at Buffalo, supervised by Prof. Lu Su
Background
- - Research Interests: Internet of Things, cyber-physical systems, security and privacy, and machine learning
- - Current Focus: Designing and deploying trustworthy AI techniques for mobile, embedded, and networked systems
Miscellany
- - Looking for prospective Ph.D. students and visiting scholars
