Xiao Wang

Orcid: 0000-0003-3336-4794

Affiliations:
  • Boston University, MA, USA


According to our database1, Xiao Wang authored at least 16 papers between 2017 and 2022.

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

2022
Substitutional Neural Image Compression.
Proceedings of the Picture Coding Symposium, 2022

2021
Substitutional Neural Image Compression.
CoRR, 2021

High-Robustness, Low-Transferability Fingerprinting of Neural Networks.
CoRR, 2021

Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Mixed Spatio-Temporal Neural Networks on Real-time Prediction of Crimes.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Intrinsic Examples: Robust Fingerprinting of Deep Neural Networks.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
A Closed-Loop, All-Electronic Pixel-Wise Adaptive Imaging System for High Dynamic Range Videography.
IEEE Trans. Circuits Syst. I Regul. Pap., 2020

Block Switching: A Stochastic Approach for Deep Learning Security.
CoRR, 2020

AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
A closed-loop all-electronic pixel-wise adaptive imaging system for high dynamic range video.
CoRR, 2019

Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Learning for Minimal-context Block Tracking through Side-channel Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Using Deep Learning to Extract Scenery Information in Real Time Spatiotemporal Compressed Sensing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Defensive dropout for hardening deep neural networks under adversarial attacks.
Proceedings of the International Conference on Computer-Aided Design, 2018

Defending DNN Adversarial Attacks with Pruning and Logits Augmentation.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017
Domain specific inpainting with concurrently pretrained generative adversarial networks.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017


  Loading...