all InfoSec news
Using 3D Shadows to Detect Object Hiding Attacks on Autonomous Vehicle Perception. (arXiv:2204.13973v1 [cs.CV])
May 2, 2022, 1:20 a.m. | Zhongyuan Hau, Soteris Demetriou, Emil C. Lupu
cs.CR updates on arXiv.org arxiv.org
Autonomous Vehicles (AVs) are mostly reliant on LiDAR sensors which enable
spatial perception of their surroundings and help make driving decisions.
Recent works demonstrated attacks that aim to hide objects from AV perception,
which can result in severe consequences. 3D shadows, are regions void of
measurements in 3D point clouds which arise from occlusions of objects in a
scene. 3D shadows were proposed as a physical invariant valuable for detecting
spoofed or fake objects. In this work, we leverage 3D …
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
SOC 2 Manager, Audit and Certification
@ Deloitte | US and CA Multiple Locations
Security Operations Manager (f/d/m), 80-100%
@ Alpiq | Lausanne, CH
Project Manager - Cyber Security
@ Quantrics Enterprises Inc. | Philippines
Sr. Principal Application Security Engineer
@ Gen | DEU - Tettnang, Kaplaneiweg
(Senior) Security Architect Car IT/ Threat Modelling / Information Security (m/f/x)
@ Mercedes-Benz Tech Innovation | Ulm
Information System Security Officer
@ ManTech | 200AE - 375 E St SW, Washington, DC