Yanghao Zhang

Orcid: 0000-0002-8499-0974

According to our database1, Yanghao Zhang authored at least 17 papers between 2018 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A survey of safety and trustworthiness of large language models through the lens of verification and validation.
Artif. Intell. Rev., July, 2024

Lightweight diffusion models: a survey.
Artif. Intell. Rev., June, 2024

A Black-Box Evaluation Framework for Semantic Robustness in Bird's Eye View Detection.
CoRR, 2024

Safeguarding Large Language Models: A Survey.
CoRR, 2024

PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

DeepGRE: Global Robustness Evaluation of Deep Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2024

Towards Fairness-Aware Adversarial Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

UAV Swarm Path Planning Algorithm Based on Starling Flocking.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Reward Certification for Policy Smoothed Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Generalizing universal adversarial perturbations for deep neural networks.
Mach. Learn., May, 2023

Self-adaptive Adversarial Training for Robust Medical Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2021
Tutorials on Testing Neural Networks.
CoRR, 2021

Gradient-Guided Dynamic Efficient Adversarial Training.
CoRR, 2021

Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks.
CoRR, 2021

2020
Dual sparse learning via data augmentation for robust facial image classification.
Int. J. Mach. Learn. Cybern., 2020

Generalizing Universal Adversarial Attacks Beyond Additive Perturbations.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2018
Collaboratively Weighting Deep and Classic Representation via $l_2$ Regularization for Image Classification.
Proceedings of The 10th Asian Conference on Machine Learning, 2018


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