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Found 6 papers, 3 papers with code
On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles
Trajectory prediction is a critical component for autonomous vehicles (AVs) to perform safe planning and navigation.
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions
Deep neural networks on 3D point cloud data have been widely used in the real world, especially in safety-critical applications.
Ranked #1 on
3D Point Cloud Data Augmentation
on ModelNet40-C
3D Point Cloud Classification
3D Point Cloud Data Augmentation
+2
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception
CALICO's efficacy is substantiated by extensive evaluations on 3D object detection and BEV map segmentation tasks, where it delivers significant performance improvements.
On Data Fabrication in Collaborative Vehicular Perception: Attacks and Countermeasures
To understand the impact of the vulnerability, we break the ground by proposing various real-time data fabrication attacks in which the attacker delivers crafted malicious data to victims in order to perturb their perception results, leading to hard brakes or increased collision risks.
Exploring the Limits of ChatGPT in Software Security Applications
Large language models (LLMs) have undergone rapid evolution and achieved remarkable results in recent times.
Adaptive Skeleton Graph Decoding
Large language models (LLMs) have seen significant adoption for natural language tasks, owing their success to massive numbers of model parameters (e. g., 70B+); however, LLM inference incurs significant computation and memory costs.
