Closed-loop framework evaluates attack injection into vehicle reactions
Built on VaN3Twin, the library has 76 ETSI-adapted attack profiles in nine suites and a labelled dataset.
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Built on VaN3Twin, the library has 76 ETSI-adapted attack profiles in nine suites and a labelled dataset.
In the authors' experiment, a malicious server inferred client label sets from shared guidance matrices at 50% to 84% accuracy.
The model and PAI-Foundation4D benchmark cover 1,253 clips with dense depth and occupancy labels.

The Ann Arbor startup simulates real roads on Nvidia Cosmos and already has AV customers including Bot Auto.

Laplace Intelligence pitches simulation-based AI red-teaming for robots and self-driving cars before real-world deployment.
Social marginal-cost rewards make autonomous-vehicle routing fairer to human drivers in mixed traffic.

Nvidia is extending its Halos safety stack from autonomous vehicles to robotaxis and humanoid robots.
Researchers define mission-aware attestation that rejects stale or late integrity evidence on a hardware-in-the-loop V2I platform.
A diffusion method generates highway scenarios at a requested risk percentile, hitting 98.75% of targets.
First dToF LiDAR SoC with dual-domain fingerprinting rejects spoofed laser echoes, protecting 73% of the point cloud versus 0% unprotected.

Shield AI, Waabi, and GM will discuss high-stakes physical AI at TechCrunch Disrupt 2026.

NVIDIA says scaling physical AI requires layered safety and promotes its Halos stack for vehicles and robots.
Simple repeating patterns let attackers shift stereo-camera depth estimates by up to 20 meters, triggering emergency braking in autonomous driving frameworks at 40 km/h.

NVIDIA details a three-computer robotaxi platform that Uber, Lyft, May Mobility, Mercedes-Benz and others are adopting to scale autonomous fleets.

Travis Kalanick's Atoms, which raised $1.7B led by Andreessen Horowitz with $100M from Uber, is reportedly exploring robotaxi technology and acquisitions.
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