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Android UI Deception Revisited: Attacks and Defenses.

, , , , , , and . Financial Cryptography, volume 9603 of Lecture Notes in Computer Science, page 41-59. Springer, (2016)

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Impact Evaluation of Falsified Data Attacks on Connected Vehicle Based Traffic Signal Control., , , , , and . CoRR, (2020)An Initial Investigation of Protocol Customization., , and . FEAST@CCS, page 57-64. ACM, (2017)No One In The Middle: Enabling Network Access Control Via Transparent Attribution., , , , , and . AsiaCCS, page 651-658. ACM, (2018)Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking., , , , , and . CoRR, (2019)Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack., , , , , and . CoRR, (2020)On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving., and . CoRR, (2021)Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction., , , , and . CoRR, (2022)Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks., , , , , , , , and . SP, page 176-194. IEEE, (2021)Protecting Reward Function of Reinforcement Learning via Minimal and Non-catastrophic Adversarial Trajectory., , , , , , , , and . SRDS, page 299-309. IEEE, (2021)Play the Imitation Game: Model Extraction Attack against Autonomous Driving Localization., , , , , , and . ACSAC, page 56-70. ACM, (2022)