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Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking.

, , , , , and . CoRR, (2019)

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Human Activity Classification Incorporating Egocentric Video and Inertial Measurement Unit Data., and . GlobalSIP, page 429-433. IEEE, (2018)Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object Tracking., , , , , , and . ICLR, OpenReview.net, (2020)Time-aware and task-transferable adversarial attack for perception of autonomous vehicles., , , , and . Pattern Recognit. Lett., (2024)CrossPrune: Cooperative pruning for camera-LiDAR fused perception models of autonomous driving., , , , , , and . Knowl. Based Syst., (2024)Autonomously and Simultaneously Refining Deep Neural Network Parameters by Generative Adversarial Networks., , and . CoRR, (2018)Enhancing Cross-task Transferability of Adversarial Examples with Dispersion Reduction., , , , and . CoRR, (2019)Human activity classification from wearable devices with cameras., and . ACSSC, page 183-187. IEEE, (2017)Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction., , , , , , and . CVPR, page 937-946. Computer Vision Foundation / IEEE, (2020)Autonomous Choice of Deep Neural Network Parameters by a Modified Generative Adversarial Network., and . ICIP, page 3846-3850. IEEE, (2019)Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking., , , , , and . CoRR, (2019)