Andras Rozsa

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Adversarial Attack on Deep Learning-Based Splice Localization.

Andras Rozsa, Terrance E. Boult, Zheng Zhong

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Facial attributes: Accuracy and adversarial robustness.

Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult

Pattern Recognit. Lett., 2019

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

Andras Rozsa, Terrance E. Boult

CoRR, 2019

2018

Towards Robust Deep Neural Networks with BANG.

Andras Rozsa, Manuel Günther, Terrance E. Boult

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.

Ethan M. Rudd, Andras Rozsa, Manuel Günther, Terrance E. Boult

IEEE Commun. Surv. Tutorials, 2017

LOTS about attacking deep features.

Andras Rozsa, Manuel Günther, Terrance E. Boult

Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

AFFACT: Alignment-free facial attribute classification technique.

Manuel Günther, Andras Rozsa, Terrance E. Boult

Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

Adversarial Robustness: Softmax versus Openmax.

Andras Rozsa, Manuel Günther, Terrance E. Boult

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Exploring LOTS in Deep Neural Networks.

Andras Rozsa, Manuel Günther, Terrance E. Boult

CoRR, 2016

Are facial attributes adversarially robust?

Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Are Accuracy and Robustness Correlated.

Andras Rozsa, Manuel Günther, Terrance E. Boult

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Assessing Threat of Adversarial Examples on Deep Neural Networks.

Abigail Graese, Andras Rozsa, Terrance E. Boult

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Adversarial Diversity and Hard Positive Generation.

Andras Rozsa, Ethan M. Rudd, Terrance E. Boult

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.

Andras Rozsa, Albert E. Glock, Terrance E. Boult

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015