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Preprints
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Vignesh Srinivasan, Arturo Marban, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima:
Robustifying Models Against Adversarial Attacks by Langevin Dynamics
Submitted to ArXiv 2019
[pdf]
Publications in Journals
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T. A. Bubba, G. Kutyniok, M. Lassas, M. März, W. Samek, S. Siltanen, and V. Srinivasan:
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography
Inverse Problems 2019
[pdf]
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Arturo Marban, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, and Alicia Casals:
A Recurrent Convolutional Neural Network Approach for Sensorless Force Estimation in Robotic Surgery
Biomedical Signal Processing and Control, 50:134-150 2019
[pdf]
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Wiktor Pronobis, Danny Panknin, Johannes Kirschnick, Vignesh Srinivasan, Wojciech Samek, Volker Markl, Manohar Kaul, Klaus-Robert Müller, and Shinichi Nakajima:
Sharing Hash Codes for Multiple Purposes,
Japanese Journal of Statistics and Data Science (JJSD), Springer, 1(1):215–246, 2018
[pdf]
Publications in Conference Proceedings
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Vignesh Srinivasan, Klaus-Robert M ller, Wojciech Samek, Shinichi Nakajima:
Benign Examples: Imperceptible changes can enhance image translation performance
Proceedings of the Thirty-Fourth Association for the Advancement of Artificial Intelligence (AAAI) 2020
[pdf]
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Vignesh Srinivasan, Ercan E. Kuruoglu, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima:
Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution
Proceedings of the European Signal Processing Conference (EUSIPCO), 2019
[pdf]
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Vignesh Srinivasan, Arturo Marban, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima:
Defense Against Adversarial Attacks by Langevin Dynamics
ICML Workshop on Uncertainty & Robustness in Deep Learning 2019
[pdf]
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Talmaj Marinc Vignesh Srinivasan, Serhan Gül, Cornelius Hellge, and Wojciech Samek:
Multi-Kernel Prediction Networks for Denoising of Burst Images
Proceedings of the IEEE International Conference on Image Processing (ICIP), 2019
[pdf]
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Arturo Marban, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, and Alicia Casals:
Estimation of Interaction Forces in Robotic Surgery using a Semi-Supervised Deep Neural Network Model
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots (IROS), 2018
[pdf]
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Arturo Marban, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, and Alicia Casals:
Estimating Position & Velocity in 3D Space from Monocular Video Sequences using a Deep Neural Network,
Proceedings of the ICCV'17 Workshop on Assistive Computer Vision and Robotics (ACVR), Venice, Italy, October 2017.
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Vignesh Srinivasan, Sebastian Lapuschkin, Cornelius Hellge, Klaus-Robert Müller, and Wojciech Samek:
Interpretable human action recognition in compressed domain,
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), New Orleans, LA, USA, March 2017.
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Vignesh Srinivasan, Serhan Gül, Sebastian Bosse, Jan Timo Meyer, Thomas Schierl, Cornelius Hellge and Wojciech Samek:
On the robustness of action recognition methods in compressed and pixel domain,
Proceedings of the European Workshop on Visual Information Processing (EUVIP), Marseille, France, pp. 1-6, October 2016, [pdf].
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