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Alfred Chen

Alfred Chen

Assistant Professor, Department of Computer Science, University of California, Irvine

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Biography

Alfred Chen, Ph.D., is an Assistant Professor in the Department of Computer Science at the University of California, Irvine. He leads the AS²Guard (Autonomous & Smart Systems Guard) research group, with a general focus on security and safety of computer technologies that are of high criticality to our daily life and society. Chen received a Ph.D. in Computer Science and Engineering from the University of Michigan, Ann Arbor, where his dissertation received the ProQuest Distinguished Dissertation Award and was nominated for the ACM Doctoral Dissertation Award.

Chen's research has been the first to perform security analysis and defense designs on various mission- and safety-critical autonomous systems AI components, such as perception, object tracking, localization, lane detection, multi-sensor fusion, prediction, and planning systems. His work has triggered over 30 autonomous vehicle companies to investigate newly-discovered security vulnerabilities, with some confirming work on fixes. Chen has been invited to speak about this research at organizations including NHTSA, GM, Toyota, IBM, NVIDIA, and Qualcomm. He was also the leading co-founder of the USENIX/ISOC Symposium on Vehicle Security & Privacy (VehicleSec) in 2023 and the AutoSec Workshop in 2019, and co-created DEF CON's first autonomous driving-themed hacking event in 2021.

Chen has received the NSF CAREER Award and the UC Irvine Chancellor's Award for Excellence in Undergraduate Research Mentorship. As faculty advisor for Cyber@UCI, he has guided the team to become the first UC campus to win the National Champion (1st Place) in the Collegiate Cyber Defense Competition in 2025, the largest college-level cyber defense contest in the US. His research has been constantly published in top-tier security conferences including IEEE S&P, USENIX Security, ACM CCS, and NDSS, as well as in top-tier AI, computer vision, and robotics venues such as CVPR, ICCV, ICLR, AAAI, IROS, and ICRA.

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Education

  • Ph.D. in Computer Science and Engineering, University of Michigan, Ann Arbor, 2018
  • B.S. in Computer Science and Technology, Nanjing University, 2012
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Distinctions

  • National Champion, National CCDC (Collegiate Cyber Defense Competition), 2025
  • Best Applied Research Paper Award Finalist, NYU CSAW (Cyber Security Awareness Week), 2024
  • Best Technical Poster Award, ISOC NDSS, 2020, 2024
  • Nominated for Sloan Research Fellowship, 2024
  • Usenix Security Noteworthy Reviewer Award, 2023
  • NIST AI panel & focused group on standards and performance metrics development for on-road autonomous vehicles, 2022
  • NSF CAREER Award, NSF SaTC Program, 2022
  • Chancellor's Award for Excellence in Undergraduate Research Mentorship, UC Irvine, 2021
  • Distinguished Poster Presentation Award, ISOC NDSS, 2019
  • ProQuest Distinguished Dissertation Award, University of Michigan, 2019
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Areas of Expertise

  • Autonomous Systems Security
  • Autonomous Systems Safety
  • Adversarial Machine Learning
  • Physical-World AI Attacks
  • AI Security
  • Systems Security
  • Network Security

Recent Publications

  • Shaoyuan Xie, Mohamad Habib Fakih, Junchi Lu, Fayzah Alshammari, Ningfei Wang, Takami Sato, Halima Bouzidi, Mohammad Abdullah Al Faruque, Qi Alfred Chen, “FlyTrap: Physical Distance-Pulling Attack Towards Camera-based Autonomous Target Tracking Systems”, ISOC Network and Distributed System Security Symposium (NDSS), 2026.
  • Sri Hrushikesh Varma Bhupathiraju, Shaoyuan Xie, Michael Clifford, Qi Alfred Chen, Takeshi Sugawara, Sara Rampazzi, “The Heat is On: Understanding and Mitigating Vulnerabilities of Thermal Image Perception in Autonomous Systems”, ISOC Network and Distributed System Security Symposium (NDSS), 2026.
  • Xiaomeng Chen, Jike Wang, Zhenyu Chen, Qi Alfred Chen, Xinbing Wang, Dongyao Chen, “DualStrike: Accurate, Real-time Eavesdropping and Injection of Keystrokes on Commodity Keyboards”, ISOC Network and Distributed System Security Symposium (NDSS), 2026.
  • Yuqi Huai, Yuntianyi Chen, Ziwen Wan, Qi Alfred Chen, Joshua Garcia, “DeFT: Maintaining Determinism and Extracting Unit Tests for Autonomous Driving Planning”, International Conference on Software Engineering (ICSE), 2026.
  • Ningfei Wang, Shaoyuan Xie, Takami Sato, Yunpeng Luo, Kaidi Xu, Qi Alfred Chen, “Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective”, ISOC Network and Distributed System Security Symposium (NDSS), 2025.
  • Takami Sato, Yuki Hayakawa, Ryo Suzuki, Kazuma Ikeda, Ozora Sako, Rokuto Nagata, Ryo Yoshida, Qi Alfred Chen, Kentaro Yoshioka, “On the Realism of LiDAR Spoofing Attacks against Autonomous Driving Vehicle at High Speed and Long Distance”, ISOC Network and Distributed System Security Symposium (NDSS), 2025.
  • Ruochen Jiao, Shaoyuan Xie, Justin Yue, Takami Sato, Lixu Wang, Yixuan Wang, Qi Alfred Chen, Qi Zhu, “Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systems”, International Conference on Learning Representations (ICLR), 2025.
  • Rokuto Nagata, Kenji Koide, Yuki Hayakawa, Ryo Suzuki, Kazuma Ikeda, Ozora Sako, Qi Alfred Chen, Takami Sato, Kentaro Yoshioka, “SLAMSpoof: Practical LiDAR Spoofing Attacks on Localization Systems Guided by Scan Matching Vulnerability Analysis”, IEEE International Conference on Robotics and Automation (ICRA), 2025.
  • Yuntianyi Chen, Yuqi Huai, Yirui He, Shilong Li, Changnam Hong, Qi Alfred Chen, Joshua Garcia, “A Comprehensive Study of Bug-Fix Patterns in Autonomous Driving Systems”, ACM International Conference on the Foundations of Software Engineering (FSE), 2025.
  • Chen Ma, Ningfei Wang, Zhengyu Zhao, Qian Wang, Qi Alfred Chen, Chao Shen,, Chao Shen, “ControlLoc: Physical-World Hijacking Attack on Camera-based Perception in Autonomous Driving”, ACM Conference on Computer and Communications Security (CCS), 2025.
  • Shaoyuan Xie, Lingdong Kong, Yuhao Dong, Chonghao Sima, Wenwei Zhang, Qi Alfred Chen, Ziwei Liu, Liang Pan, “ Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives”, International Conference on Computer Vision (ICCV), 2025.
  • Takami Sato, Yuki Hayakawa, Ryo Suzuki, Yohsuke Shiiki, Kentaro Yoshioka, Qi Alfred Chen, “LiDAR Spoofing Meets the New-Gen: Capability Improvements, Broken Assumptions, and New Attack Strategies”, ISOC Network and Distributed System Security Symposium (NDSS), 2024.
  • Takami Sato, Sri Hrushikesh Varma Bhupathiraju, Michael Clifford, Takeshi Sugawara, Qi Alfred Chen, Sara Rampazzi, “Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception”, ISOC Network and Distributed System Security Symposium (NDSS), 2024.
  • Qingzhao Zhang, Shuowei Jin, Ruiyang Zhu, Jiachen Sun, Xumiao Zhang, Qi Alfred Chen, Z. Morley Mao, “On Data Fabrication in Collaborative Vehicular Perception: Attacks and Countermeasures”, USENIX Security Symposium, 2024.
  • Shuo Wang, Hongsheng Hu, Jiamin Chang, Benjamin Zi Hao Zhao, Qi Alfred Chen, Minhui Xue, “DNN-GP: Diagnosing and Mitigating Model's Faults Using Latent Concepts”, USENIX Security Symposium, 2024.
  • Takami Sato, Justin Yue, Nanze Chen, Ningfei Wang, Qi Alfred Chen, “Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models”, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
  • Chen Ma, Ningfei Wang, Qi Alfred Chen, Chao Shen, “SlowTrack: Increasing the Latency of Camera-based Perception in Autonomous Driving Using Adversarial Examples”, Annual AAAI Conference on Artificial Intelligence (AAAI), 2024.
  • Wentao Chen, Sam Der, Yunpeng Luo, Fayzah Alshammari, Qi Alfred Chen, “Understanding the Internet-Wide Vulnerability Landscape for ROS-based Robotic Vehicles”, ISOC Symposium on Vehicle Security and Privacy (VehicleSec), 2024.
  • Sri Hrushikesh Varma Bhupathiraju, Takami Sato, Michael Clifford, Takeshi Sugawara, Qi Alfred Chen, Sara Rampazzi, “On the Vulnerability of Traffic Light Recognition Systems to Laser Illumination Attacks”, ISOC Symposium on Vehicle Security and Privacy (VehicleSec), 2024.
  • Takami Sato, Ningfei Wang, Yueqiang Cheng, Qi Alfred Chen, “A Cross-Verification Approach with Publicly Available Map for Detecting Off-Road Attacks against Lane Detection Systems”, ISOC Symposium on Vehicle Security and Privacy (VehicleSec), 2024.
  • Dylan Lee, Shaoyuan Xie, Shagoto Rahman, Kenneth Pat, David Lee, Qi Alfred Chen, “"Prompter Says": A Linguistic Approach to Understanding and Detecting Jailbreak Attacks Against Large-Language Models”, ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis (LAMPS), 2024.
  • Ningfei Wang, Yunpeng Luo, Takami Sato, Kaidi Xu, Qi Alfred Chen, “Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack”, International Conference on Computer Vision (ICCV), 2023.
  • Ruochen Jiao, Xiangguo Liu, Takami Sato, Qi Alfred Chen, Qi Zhu, “Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction”, International Conference on Computer Vision (ICCV), 2023.
  • Yuqi Huai, Yuantianyi Chen, Sumaya Almanee, Tuan Ngo, Xiang Liao, Ziwen Wan, Qi Alfred Chen, Joshua Garcia, “Doppelganger Test Generation for Revealing Bugs in Autonomous Driving Software”, International Conference on Software Engineering (ICSE), 2023.
  • Junjie Shen, Ziwen Wan, Yunpeng Luo, Qi Alfred Chen, “Lateral-Direction Localization Attack in High-Level Autonomous Driving: Domain-Specific Defense Opportunity via Lane Detection”, IEEE/RSJ International Conference on Intelligent Robots (IROS), 2023.
  • Ruochen Jiao, Juyang Bai, Xiangguo Liu, Takami Sato, Xiaowei Yuan, Qi Alfred Chen, Qi Zhu, “Learning Representation for Anomaly Detection of Vehicle Trajectories”, IEEE/RSJ International Conference on Intelligent Robots (IROS), 2023.
  • Junjie Shen, Ziwen Wan, Yunpeng Luo, Yiheng Feng, Z. Morley Mao, Qi Alfred Chen, “Detecting Data Spoofing in Connected Vehicle Based Intelligent Traffic Signal Control Using Infrastructure-Side Sensors and Traffic Invariants”, IEEE Intelligent Vehicles Symposium (IV), 2023.
  • Jun Ying, Yiheng Feng, Qi Alfred Chen, Z. Morley Mao, “GPS Spoofing Attack Detection on Intersection Movement Assist using One-Class Classification”, ISOC Symposium on Vehicle Security and Privacy (VehicleSec), 2023.
  • Xiangguo Liu, Yunpeng Luo, Anthony Goeckner, Trishna Chakraborty, Ruochen Jiao, Ningfei Wang, Yixuan Wang, Takami Sato, Qi Alfred Chen, Qi Zhu, “Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing”, Invited at ACM/IEEE Design Automation Conference (DAC), 2023.
  • Yuqi Huai, Sumaya Almanee, Yuntianyi Chen, Xiafa Wu, Qi Alfred Chen, Joshua Garcia, “scenoRITA: Generating Diverse, Fully-Mutable, Test Scenarios for Autonomous Vehicle Planning”, IEEE Transactions on Software Engineering (TSE), 2023.
  • Zhen Yang, Jun Ying, Junjie Shen, Yiheng Feng, Qi Alfred Chen, Z. Morley Mao, Henry X. Liu, “Anomaly Detection Against GPS Spoofing Attacks on Connected and Autonomous Vehicles Using Learning from Demonstration”, IEEE Transactions on Intelligent Transportation Systems (T-ITS), vol. 24, 2023.
  • Ziwen Wan, Junjie Shen, Jalen Chuang, Xin Xia, Josh Garcia, Jiaqi Ma, Qi Alfred Chen, “Too Afraid to Drive: Systematic Discovery of Semantic DoS Vulnerability in Autonomous Driving Planning under Physical-World Attacks”, ISOC Network and Distributed System Security Symposium (NDSS), 2022.
  • Takami Sato, Qi Alfred Chen, “Towards Driving-Oriented Metric for Lane Detection Models”, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  • Qingzhao Zhang, Shengtuo Hu, Jiachen Sun, Qi Alfred Chen, Z. Morley Mao, “On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles”, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  • Ze Zhang, Sanjay Sri Vallabh Singapuram, Qingzhao Zhang, David Ke Hong, Brandon Nguyen, Z Morley Mao, Scott Mahlke, Qi Alfred Chen, “AVMaestro: A Centralized Policy Enforcement Framework for Safe Autonomous-driving Environments”, IEEE Intelligent Vehicles Symposium (IV), 2022.
  • Qifan Zhang, Junjie Shen, Mingtian Tan, Zhe Zhou, Zhou Li, Qi Alfred Chen, Haipeng Zhang, “Play the Imitation Game: Model Extraction Attack against Autonomous Driving Localization”, Annual Computer Security Applications Conference (ACSAC), 2022.
  • Yunpeng Luo, Ningfei Wang, Bo Yu, Shaoshan Liu, Qi Alfred Chen, “Infrastructure-Aided Defense for Autonomous Driving Systems: Opportunities and Challenges”, ISOC NDSS Workshop on Automotive and Autonomous Vehicle Security (AutoSec), 2022.
  • Zhisheng Hu, Junjie Shen, Shengjian Guo, Xinyang Zhang, Zhenyu Zhong, Qi Alfred Chen, Kang Li, “PASS: A System-Driven Evaluation Platform for Autonomous Driving Safety and Security”, ISOC NDSS Workshop on Automotive and Autonomous Vehicle Security (AutoSec), 2022.
  • Yiheng Feng, Shihong Huang, Wai Wong, Qi Alfred Chen, Z. Morley Mao, Henry X. Liu, “On the Cybersecurity of Traffic Signal Control System with Connected Vehicles”, IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2022.
  • Yanan Guo, Christopher Dipalma, Takami Sato, Yulong Cao, Qi Alfred Chen, Yueqiang Cheng, “An Adversarial Attack on DNN-based Adaptive Cruise Control Systems”, ICCV 2021 Workshop on Adversarial Robustness in the Real World, 2021.
  • Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang, Jin Fang, Ruigang Yang, Qi Alfred Chen, Mingyan Liu, Bo Li, “Invisible in both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks”, IEEE Symposium on Security and Privacy (S&P), 2021.
  • Shengtuo Hu, Qi Alfred Chen, Jiachen Sun, Yiheng Feng, Z. Morley Mao, Henry X. Liu, “Automated Discovery of Denial-of-Service Vulnerabilities in Connected Vehicle Protocols”, USENIX Security Symposium, 2021.
  • Ruochen Jiao, Hengyi Liang, Takami Sato, Junjie Shen, Qi Alfred Chen, Qi Zhu, “End-to-End Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering”, IEEE Intelligent Vehicles Symposium (IV), 2021.
  • Qingzhao Zhang, David Ke Hong, Ze Zhang, Qi Alfred Chen, Scott Mahlke, Z. Morley Mao, “A Systematic Framework to Identify Violations of Scenario-dependent Driving Rules in Autonomous Vehicle Software”, ACM International Conference on Measurement and Modeling of Computer Systems (Sigmetrics), 2021.
  • Di Gao, Hao Lin, Zhenhua Li, Feng Qian, Qi Alfred Chen, Zhiyun Qian, Wei Liu, Liangyi Gong, Yunhao Liu, “A Nationwide Census on WiFi Security Threats: Prevalence, Riskiness, and the Economics”, ACM Annual International Conference on Mobile Computing and Networking (Mobicom), 2021.
  • Siyue Wang, Pu Zhao, Xiao Wang, Sang Chin, Thomas Wahl, Yunsi Fei, Qi Alfred Chen, Xue Lin, “Intrinsic Examples: Robust Fingerprinting of Deep Neural Networks”, British Machine Vision Conference (BMVC), 2021.
  • Jiachen Sun, Karl Koenig, Yulong Cao, Qi Alfred Chen, Z. Morley Mao, “On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks”, British Machine Vision Conference (BMVC), 2021.
  • Kanglan Tang, Junjie Shen, Qi Alfred Chen, “Fooling Perception via Location: A Case of Region-of-Interest Attacks on Traffic Light Detection in Autonomous Driving”, ISOC NDSS Workshop on Automotive and Autonomous Vehicle Security (AutoSec), 2021.
  • Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jia, Xue Lin, Qi Alfred Chen, “Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Adversarial Attack”, USENIX Security Symposium, 2021.
  • Haohuang Wen, Qingchuan Zhao, Qi Alfred Chen, Zhiqiang Lin, “Automated Cross-Platform Reverse Engineering of CAN Bus Commands from Mobile Apps”, ISOC Network and Distributed System Security Symposium (NDSS), 2020.
  • Yunhan Jia, Yantao Lu, Junjie Shen, Qi Alfred Chen, Hao Chen, Zhenyu Zhong, Tao Wei, “Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object Tracking”, International Conference on Learning Representations (ICLR), 2020.
  • Liangyi Gong, Zhenhua Li, Feng Qian, Zifan Zhang, Qi Alfred Chen, Zhiyun Qian, Yunhao Liu, “Experiences of Landing Machine Learning onto Market-Scale Mobile Malware Detection”, European Systems Conference (EuroSys), 2020.
  • David Ke Hong, John Kloosterman, Yuqi Jin, Yulong Cao, Qi Alfred Chen, Scott Mahlke, Z. Morley Mao, “AVGuardian: Detecting and Mitigating Publish-Subscribe Overprivilege for Autonomous Vehicle Systems”, IEEE European Symposium on Security and Privacy (EuroS&P), 2020.
  • Shengtuo Hu, Qi Alfred Chen, Jiwon Joung, Can Carlak, Yiheng Feng, Z. Morley Mao, Henry X. Liu, “CVShield: Guarding Sensor Data in Connected Vehicle withTrusted Execution Environment”, ACM CODASPY Workshop on Automotive and Aerial Vehicle Security (AutoSec) 2020, 2020.
  • Junjie Shen, Jun Yeon Won, Zeyuan Chen, Qi Alfred Chen, “Drift with Devil: Security of Multi-Sensor Fusion based Localization in High-Level Autonomous Driving under GPS Spoofing”, USENIX Security Symposium, 2020.
  • Jiachen Sun, Yulong Cao, Qi Alfred Chen, Z. Morley Mao, “Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures”, USENIX Security Symposium, 2020.
  • Haohuang Wen, Qi Alfred Chen, Zhiqiang Lin, “Plug-N-Pwned: Comprehensive Vulnerability Analysis of OBD-II Dongles as A New Over-the-Air Attack Surface in Automotive IoT”, USENIX Security Symposium, 2020.
  • Joshua Garcia, Yang Feng, Junjie Shen, Sumaya Almanee, Yuan Xia, Qi Alfred Chen, “A Comprehensive Study of Autonomous Vehicle Bugs”, International Conference on Software Engineering (ICSE), 2020.
  • Zhenyuan Li, Qi Alfred Chen, Chunlin Xiong, Yan Chen, Tiantian Zhu, Hai Yang, “Effective and Light-Weight Deobfuscation and Semantic-Aware Attack Detection for PowerShell Scripts”, ACM Conference on Computer and Communications Security (CCS), 2019.
  • Yulong Cao, Chaowei Xiao, Benjamin Cyr, Yimeng Zhou, Won Park, Sara Rampazzi, Qi Alfred Chen, Kevin Fu, Z. Morley Mao, “Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving”, ACM Conference on Computer and Communications Security (CCS), 2019.
  • Fan Dang, Zhenhua Li, Yunhao Liu, Ennan Zhai, Qi Alfred Chen, Tianyin Xu, Yan Chen, Jingyu Yang, “Understanding Fileless Attacks on Linux-based IoT Devices with HoneyCloud”, ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), 2019.
  • Yuxuan Yan, Zhenhua Li, Qi Alfred Chen, Christo Wilson, Tianyin Xu, Ennan Zhai, Yong Li, Yunhao Liu, “Understanding and Detecting Overlay-based Android Malware at Market Scales”, ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), 2019.
  • Yiheng Feng, Shihong Huang, Qi Alfred Chen, Henry X. Liu, Z. Morley Mao, “Vulnerability of Traffic Control System Under Cyberattacks with Falsified Data”, Transportation Research Record (TRR), 2018.
  • Qi Alfred Chen, Yucheng Yin, Yiheng Feng, Z. Morley Mao, Henry X. Liu, “Exposing Congestion Attack on Emerging Connected Vehicle based Traffic Signal Control”, ISOC Network and Distributed System Security Symposium (NDSS), 2018.
  • Qi Alfred Chen, Matthew Thomas, Eric Osterweil, Yulong Cao, Jie You, Z. Morley Mao, “Client-side Name Collision Vulnerability in the New gTLD Era: A Systematic Study”, ACM Conference on Computer and Communications Security (CCS), 2017.
  • Yunhan Jack Jia, Qi Alfred Chen, Yikai Lin, Chao Kong, Z. Morley Mao, “Open Doors for Bob and Mallory: Open Port Usage in Android Apps and Security Implications”, IEEE European Symposium on Security and Privacy (EuroS&P), 2017.
  • Qi Alfred Chen, Eric Osterweil, Matthew Thomas, Z. Morley Mao, “MitM Attack by Name Collision: Cause Analysis and Vulnerability Assessment in the New gTLD Era”, IEEE Symposium on Security and Privacy (S&P), 2016.
  • Yuru Shao, Jason Ott, Qi Alfred Chen, Zhiyun Qian, Z. Morley Mao, “Kratos: Discovering Inconsistent Security Policy Enforcement in the Android Framework”, ISOC Network and WDistributed System Security Symposium (NDSS), 2016.
  • Earlence Fernandes, Qi Alfred Chen, Justin Paupore, Georg Essl, J. Alex Halderman, Z. Morley Mao, Atul Prakash, “Android UI Deception Revisited: Attacks and Defenses”, International Conference on Financial Cryptography and Data Security (FC), 2016.
  • Qi Alfred Chen, Zhiyun Qian, Yunhan Jia, Yuru Shao, Z. Morley Mao, “Static Detection of Packet Injection Vulnerabilities – A Case for Identifying Attacker-controlled Implicit Information Leaks”, ACM Conference on Computer and Communications Security (CCS), 2015.
  • Qi Alfred Chen, Zhiyun Qian, Z. Morley Mao, “Peeking into Your App without Actually Seeing It: UI State Inference and Novel Android Attacks”, USENIX Security Symposium, 2014.
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Most Cited Publications

  • Qi Alfred Chen, Zhiyun Qian, Z. Morley Mao, “Peeking into Your App without Actually Seeing It: UI State Inference and Novel Android Attacks”, USENIX Security Symposium, 2014.
  • Junjie Shen, Jun Yeon Won, Zeyuan Chen, Qi Alfred Chen, “Drift with Devil: Security of Multi-Sensor Fusion based Localization in High-Level Autonomous Driving under GPS Spoofing”, USENIX Security Symposium, 2020.
  • Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jia, Xue Lin, Qi Alfred Chen, “Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Adversarial Attack”, USENIX Security Symposium, 2021.
  • Qi Alfred Chen, Yucheng Yin, Yiheng Feng, Z. Morley Mao, Henry X. Liu, “Exposing Congestion Attack on Emerging Connected Vehicle based Traffic Signal Control”, ISOC Network and Distributed System Security Symposium (NDSS), 2018.
  • Yulong Cao, Chaowei Xiao, Benjamin Cyr, Yimeng Zhou, Won Park, Sara Rampazzi, Qi Alfred Chen, Kevin Fu, Z. Morley Mao, “Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving”, ACM Conference on Computer and Communications Security (CCS), 2019.
  • Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang, Jin Fang, Ruigang Yang, Qi Alfred Chen, Mingyan Liu, Bo Li, “Invisible in both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks”, IEEE Symposium on Security and Privacy (S&P), 2021.
  • Ningfei Wang, Yunpeng Luo, Takami Sato, Kaidi Xu, Qi Alfred Chen, “Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack”, International Conference on Computer Vision (ICCV), 2023.
  • Ziwen Wan, Junjie Shen, Jalen Chuang, Xin Xia, Joshua Garcia, Jiaqi Ma, Qi Alfred Chen, “Too Afraid to Drive: Systematic Discovery of Semantic DoS Vulnerability in Autonomous Driving Planning under Physical-World Attacks”, ISOC Network and Distributed System Security Symposium (NDSS), 2022.
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Contact Information

Website: https://www.ics.uci.edu/~alfchen

Email: alfchen@uci.edu

Address: 420 Information & Computer Science, Irvine, CA 92697-3435

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This profile was created with the help of AI.

Last updated on 2/19/2026.