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Found 4 papers, 4 papers with code
Distributed Black-box Attack against Image Classification Cloud Services
Black-box adversarial attacks can fool image classifiers into misclassifying images without requiring access to model structure and weights.
Adversarial Detection: Attacking Object Detection in Real Time
Intelligent robots rely on object detection models to perceive the environment.
A Man-in-the-Middle Attack against Object Detection Systems
While some attacks are limited by strict assumptions on access to the detection system, we propose a novel hardware attack inspired by Man-in-the-Middle attacks in cryptography.
Adversarial Driving: Attacking End-to-End Autonomous Driving
As research in deep neural networks advances, deep convolutional networks become promising for autonomous driving tasks.
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