Xiao Li

Orcid: 0000-0001-8992-4944

Affiliations:
  • Tsinghua University, Beijing, China


According to our database1, Xiao Li authored at least 13 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Hiding from thermal imaging pedestrian detectors in the physical world.
Neurocomputing, January, 2024

On the Privacy Effect of Data Enhancement via the Lens of Memorization.
IEEE Trans. Inf. Forensics Secur., 2024

Perfect Gradient Inversion in Federated Learning: A New Paradigm from the Hidden Subset Sum Problem.
CoRR, 2024

Improve Adversarial Robustness of MNIST Classification via Topological Data Analysis.
Proceedings of the Advances in Neural Networks - ISNN 2024, 2024

PartImageNet++ Dataset: Scaling Up Part-Based Models for Robust Recognition.
Proceedings of the Computer Vision - ECCV 2024, 2024

Language-Driven Anchors for Zero-Shot Adversarial Robustness.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Recognizing Object by Components With Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

On the Importance of Backbone to the Adversarial Robustness of Object Detectors.
CoRR, 2023

2022
Improving Image Segmentation with Boundary Patch Refinement.
Int. J. Comput. Vis., 2022

2021
Rethinking Natural Adversarial Examples for Classification Models.
CoRR, 2021

Robust Logo Detection in E-Commerce Images by Data Augmentation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Look Closer To Segment Better: Boundary Patch Refinement for Instance Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small Bulbs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021


  Loading...