Deep learning adversarial attacks and defenses in autonomous vehicles: a systematic literature review from a safety perspective
Abstract The integration of Deep Learning (DL) algorithms in Autonomous Vehicles (AVs)
has revolutionized their precision in navigating various driving scenarios, ranging from anti …
has revolutionized their precision in navigating various driving scenarios, ranging from anti …
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors
We present SHIFT3D, a differentiable pipeline for generating 3D shapes that are structurally
plausible yet challenging to 3D object detectors. In safety-critical applications like …
plausible yet challenging to 3D object detectors. In safety-critical applications like …