An Advanced Black-Box Adversarial Attack for Deep Driving Maneuver Classification Models
Author:
Funder
Microsoft Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9355967/9356008/09356068.pdf?arnumber=9356068
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Time-Series Misalignment Aware DNN Adversarial Attacks for Connected Autonomous Vehicles;2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS);2023-09-25
2. An Investigation of Cyber-Attacks and Security Mechanisms for Connected and Autonomous Vehicles;IEEE Access;2023
3. Accelerating Adversarial Attack using Process-in-Memory Architecture;2022 18th International Conference on Mobility, Sensing and Networking (MSN);2022-12
4. A Universal Adversarial Attack on Time-Series DNNs for Connected Autonomous Vehicles;2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS);2022-10
5. Efficient Black-Box Adversarial Attacks for Deep Driving Maneuver Classification Models;2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS);2021-10
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