Emilio Rafael Balda

According to our database, Emilio Rafael Balda authored at least 13 papers between 2016 and 2020.

Collaborative distances:

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

2020

Adversarial Risk Bounds through Sparsity based Compression.

Emilio Rafael Balda, Niklas Koep, Arash Behboodi, Rudolf Mathar

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Robustness analysis of deep neural networks in the presence of adversarial perturbations and noisy labels.

Emilio Rafael Balda Cañizares

PhD thesis, 2019

Perturbation Analysis of Learning Algorithms: Generation of Adversarial Examples From Classification to Regression.

Emilio Rafael Balda, Arash Behboodi, Rudolf Mathar

IEEE Trans. Signal Process., 2019

Adversarial Risk Bounds for Neural Networks through Sparsity based Compression.

Emilio Rafael Balda, Arash Behboodi, Niklas Koep, Rudolf Mathar

CoRR, 2019

On the Effect of Low-Rank Weights on Adversarial Robustness of Neural Networks.

Peter Langenberg, Emilio Rafael Balda, Arash Behboodi, Rudolf Mathar

CoRR, 2019

On the Robustness of Support Vector Machines against Adversarial Examples.

Peter Langenberg, Emilio Rafael Balda, Arash Behboodi, Rudolf Mathar

Proceedings of the 13th International Conference on Signal Processing and Communication Systems, 2019

2018

Perturbation Analysis of Learning Algorithms: A Unifying Perspective on Generation of Adversarial Examples.

Emilio Rafael Balda, Arash Behboodi, Rudolf Mathar

CoRR, 2018

An Information Theoretic View on Learning of Artificial Neural Networks.

Emilio Rafael Balda, Arash Behboodi, Rudolf Mathar

Proceedings of the 12th International Conference on Signal Processing and Communication Systems, 2018

On Generation of Adversarial Examples using Convex Programming.

Emilio Rafael Balda, Arash Behboodi, Rudolf Mathar

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

First-Order Perturbation Analysis of the SECSI Framework for the Approximate CP Decomposition of 3-D Noise-Corrupted Low-Rank Tensors.

Sher Ali Cheema, Emilio Rafael Balda, Yao Cheng, Martin Haardt, Amir Weiss, Arie Yeredor

CoRR, 2017

Perturbation analysis of Joint Eigenvalue Decomposition Algorithms.

Emilio Rafael Balda, Sher Ali Cheema, Amir Weiss, Arie Yeredor, Martin Haardt

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Analytical performance analysis of the Semi-Algebraic framework for approximate CP decompositions via SImultaneous matrix diagonalizations (SECSI).

Sher Ali Cheema, Emilio Rafael Balda, Amir Weiss, Arie Yeredor, Martin Haardt

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

First-order perturbation analysis of low-rank tensor approximations based on the truncated HOSVD.

Emilio Rafael Balda, Sher Ali Cheema, Jens Steinwandt, Martin Haardt, Amir Weiss, Arie Yeredor

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016