3 papers
cs.CV2023
ClassLIE: Structure- and Illumination-Adaptive Classification for Low-Light Image Enhancement
Zixiang Wei, Yiting Wang, Lichao Sun +2
Low-light images often suffer from limited visibility and multiple types of degradation, rendering low-light image enhancement (LIE) a non-trivial task. Some endeavors have been re…
cs.CV2023
Improving Interpretation Faithfulness for Vision Transformers
Lijie Hu, Yixin Liu, Ninghao Liu +3
Vision Transformers (ViTs) have achieved state-of-the-art performance for various vision tasks. One reason behind the success lies in their ability to provide plausible innate expl…
cs.CR2023
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning
Hongsheng Hu, Xuyun Zhang, Zoran Salcic +3
Federated learning (FL) is a popular approach to facilitate privacy-aware machine learning since it allows multiple clients to collaboratively train a global model without granting…