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Found 7 papers, 1 papers with code
Privacy at a Price: Exploring its Dual Impact on AI Fairness
The worldwide adoption of machine learning (ML) and deep learning models, particularly in critical sectors, such as healthcare and finance, presents substantial challenges in maintaining individual privacy and fairness.
Poses as Queries: Image-to-LiDAR Map Localization with Transformers
High-precision vehicle localization with commercial setups is a crucial technique for high-level autonomous driving tasks.
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review
Grid-centric perception is a crucial field for mobile robot perception and navigation.
Bridging the View Disparity Between Radar and Camera Features for Multi-modal Fusion 3D Object Detection
A novel method that realizes the feature-level fusion under the bird's-eye view (BEV) for a better feature representation is proposed.
Attribute-Based Progressive Fusion Network for RGBT Tracking
RGBT tracking usually suffers from various challenging factors of fast motion, scale variation, illumination variation, thermal crossover and occlusion, to name a few.
Ranked #3 on
Rgb-T Tracking
on GTOT
Local Differential Privacy and Its Applications: A Comprehensive Survey
Local differential privacy (LDP), as a strong privacy tool, has been widely deployed in the real world in recent years.
Cryptography and Security
Local Differential Privacy based Federated Learning for Internet of Things
To avoid the privacy threat and reduce the communication cost, in this paper, we propose to integrate federated learning and local differential privacy (LDP) to facilitate the crowdsourcing applications to achieve the machine learning model.
