2 papers
cs.LG2024
Privacy-Preserving Student Learning with Differentially Private Data-Free Distillation
Bochao Liu, Jianghu Lu, Pengju Wang +4
Deep learning models can achieve high inference accuracy by extracting rich knowledge from massive well-annotated data, but may pose the risk of data privacy leakage in practical d…
cs.CV2024
3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset
Junjie Zhang, Tianci Hu, Xiaoshui Huang +2
Evaluating the performance of Multi-modal Large Language Models (MLLMs), integrating both point cloud and language, presents significant challenges. The lack of a comprehensive ass…