Andras Rozsa

According to our database1, Andras Rozsa authored at least 14 papers between 2015 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Adversarial Attack on Deep Learning-Based Splice Localization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Facial attributes: Accuracy and adversarial robustness.
Pattern Recognit. Lett., 2019

Improved Adversarial Robustness by Reducing Open Space Risk via Tent Activations.
CoRR, 2019

2018
Towards Robust Deep Neural Networks with BANG.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017
A Survey of Stealth Malware Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions.
IEEE Commun. Surv. Tutorials, 2017

LOTS about attacking deep features.
Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

AFFACT: Alignment-free facial attribute classification technique.
Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

Adversarial Robustness: Softmax versus Openmax.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Exploring LOTS in Deep Neural Networks.
CoRR, 2016

Are facial attributes adversarially robust?
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Are Accuracy and Robustness Correlated.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Assessing Threat of Adversarial Examples on Deep Neural Networks.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Adversarial Diversity and Hard Positive Generation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Genetic algorithm attack on minutiae-based fingerprint authentication and protected template fingerprint systems.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015


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