Aoshuang Ye

Orcid: 0000-0003-4151-7439

According to our database1, Aoshuang Ye authored at least 12 papers between 2019 and 2023.

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

Timeline

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Bibliography

2023
Towards a Robust Deep Neural Network Against Adversarial Texts: A Survey.
IEEE Trans. Knowl. Data Eng., March, 2023

2022
<i>Ex</i><sup>2</sup>: Monte Carlo Tree Search-based test inputs prioritization for fuzzing deep neural networks.
Int. J. Intell. Syst., December, 2022

Better constraints of imperceptibility, better adversarial examples in the text.
Int. J. Intell. Syst., 2022

DANCe: Dynamic Adaptive Neuron Coverage for Fuzzing Deep Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022

Improving Robustness Verification of Neural Networks with General Activation Functions via Branching and Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2022

Combating Multi-level Adversarial Text with Pruning based Adversarial Training.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
RapidFuzz: Accelerating fuzzing via Generative Adversarial Networks.
Neurocomputing, 2021

An End-to-End Rumor Detection Model Based on Feature Aggregation.
Complex., 2021

Annealing Attention Networks for User Feature-Based Rumor Early Detection on Weibo.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
MGAAttack: Toward More Query-efficient Black-box Attack by Microbial Genetic Algorithm.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
A survey on Adversarial Attacks and Defenses in Text.
CoRR, 2019

A Game Informatical Analysis of Dark Chess by Game Refinement Theory.
Proceedings of the Science and Technologies for Smart Cities, 2019


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