Ruoyu Song
宋若愚 Sòng Ruòyú
About Me
I completed my Bachelor of Science in Computer Science with Honors and a Bachelor of Arts in Philosophy from Purdue University in 2020. I am currently pursuing my Ph.D. in Computer Science at Purdue University, with a research focus on Autonomous Vehicle Software Security and Robustness. My specific research interests lie in developing techniques to enhance the resilience of autonomous driving systems against adversarial attacks and perception failures. My advisors are Dr. Z. Berkay Celik and Dr. Antonio Bianchi.
News
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[November 2024] 3rd USENIX VehicleSec Symposium is announced! Please consider submitting your work!
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[October 2024] Please consider submitting your work to 1st International Workshop on Software Engineering for Autonomous Driving Systems (SE4ADS 2025)!
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[October 2024] Our new preprint "Enhancing LLM-based Autonomous Driving Agents to Mitigate Perception Attacks" is now available on arXiv!
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[June 2023] Our work about adversarial driving maneuvers against autonomous vehicles is accepted to Usenix Security 2023!
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[Oct 2022] Our work about evasion attacks and defenses on physical event verification systems is accepted to NDSS 2023!
Publications
- Discovering Adversarial Driving Maneuvers against Autonomous Vehicles
Ruoyu Song, Muslum Ozgur Ozmen, Hyungsub Kim, Raymond Muller, Z. Berkay Celik, and Antonio Bianchi
Usenix Security 2023 (Acceptance Rate: 29%)
- Evasion Attacks and Defenses on Smart Home Physical Event Verification
Muslum Ozgur Ozmen, Ruoyu Song, Habiba Farrukh and Z. Berkay Celik NDSS 2023
NDSS 2023 (Acceptance Rate: 16.2%)