Min Wu

Affiliations:
  • University of Oxford, Department of Computer Science, UK (PhD 2020)


According to our database1, Min Wu authored at least 10 papers between 2017 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2020
Robustness evaluation of deep neural networks with provable guarantees.
PhD thesis, 2020

A game-based approximate verification of deep neural networks with provable guarantees.
Theor. Comput. Sci., 2020

A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability.
Comput. Sci. Rev., 2020

Assessing Robustness of Text Classification through Maximal Safe Radius Computation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Robustness Guarantees for Deep Neural Networks on Videos.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Gaze-based Intention Anticipation over Driving Manoeuvres in Semi-Autonomous Vehicles.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for L0 Norm.
CoRR, 2018

Concolic testing for deep neural networks.
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

2017
Safety Verification of Deep Neural Networks.
Proceedings of the Computer Aided Verification - 29th International Conference, 2017


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