Tianyu Pang

According to our database1, Tianyu Pang authored at least 22 papers between 2017 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Bag of Tricks for Adversarial Training.
CoRR, 2020

Efficient Learning of Generative Models via Finite-Difference Score Matching.
CoRR, 2020

Towards Privacy Protection by Generating Adversarial Identity Masks.
CoRR, 2020

Boosting Adversarial Training with Hypersphere Embedding.
CoRR, 2020

Adversarial Distributional Training for Robust Deep Learning.
CoRR, 2020

Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness.
Proceedings of the 8th International Conference on Learning Representations, 2020

Benchmarking Adversarial Robustness on Image Classification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Benchmarking Adversarial Robustness.
CoRR, 2019

Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks.
CoRR, 2019

Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness.
CoRR, 2019

Improving Black-box Adversarial Attacks with a Transfer-based Prior.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Improving Adversarial Robustness via Promoting Ensemble Diversity.
Proceedings of the 36th International Conference on Machine Learning, 2019

Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Adversarial Attacks and Defences Competition.
CoRR, 2018

Detection of DGA Domains Based on Support Vector Machine.
Proceedings of the Third International Conference on Security of Smart Cities, 2018

Towards Robust Detection of Adversarial Examples.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Max-Mahalanobis Linear Discriminant Analysis Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Boosting Adversarial Attacks With Momentum.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Discovering Adversarial Examples with Momentum.
CoRR, 2017

Robust Deep Learning via Reverse Cross-Entropy Training and Thresholding Test.
CoRR, 2017


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