9 citations · 15 across the 4 of their papers we have counts for
4 papers
Calibrated and Resource-Aware Super-Resolution for Reliable Driver Behavior Analysis
Ibne Farabi Shihab, Weiheng Chai, Jiyang Wang +3
Driver monitoring systems require not just high accuracy but reliable, well-calibrated confidence scores for safety-critical deployment. While direct low-resolution training yields…
Only My Model On My Data: A Privacy Preserving Approach Protecting one Model and Deceiving Unauthorized Black-Box Models
Weiheng Chai, Brian Testa, Huantao Ren +2
Deep neural networks are extensively applied to real-world tasks, such as face recognition and medical image classification, where privacy and data protection are critical. Image d…
Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Point Density Level Estimation
Yantao Lu, Xuetao Hao, Yilan Li +3
3D object detection from LiDAR data for autonomous driving has been making remarkable strides in recent years. Among the state-of-the-art methodologies, encoding point clouds into…
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction
Yantao Lu, Yunhan Jia, Jianyu Wang +4
Neural networks are known to be vulnerable to carefully crafted adversarial examples, and these malicious samples often transfer, i.e., they remain adversarial even against other m…