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 (ACSSC, 2016)

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 (ACSSC, 2017)

Perturbation analysis of Joint Eigenvalue Decomposition Algorithms. - Emilio Rafael Balda; Sher Ali Cheema; Amir Weiss; Arie Yeredor; Martin Haardt (ICASSP, 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 001; Martin Haardt; Amir Weiss; Arie Yeredor (CoRR, 2017)

On Generation of Adversarial Examples using Convex Programming. - Emilio Rafael Balda; Arash Behboodi; Rudolf Mathar (ACSSC, 2018)

An Information Theoretic View on Learning of Artificial Neural Networks. - Emilio Rafael Balda; Arash Behboodi; Rudolf Mathar (ICSPCS, 2018)

Perturbation Analysis of Learning Algorithms: A Unifying Perspective on Generation of Adversarial Examples. - Emilio Rafael Balda; Arash Behboodi; Rudolf Mathar (CoRR, 2018)

On the Robustness of Support Vector Machines against Adversarial Examples. - Peter Langenberg; Emilio Rafael Balda; Arash Behboodi; Rudolf Mathar (ICSPCS, 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)

Adversarial Risk Bounds for Neural Networks through Sparsity based Compression. - Emilio Rafael Balda; Arash Behboodi; Niklas Koep; Rudolf Mathar (CoRR, 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)

Robustness analysis of deep neural networks in the presence of adversarial perturbations and noisy labels. - Emilio Rafael Balda Cañizares (Apprimus Verlag, 2019)

Adversarial Risk Bounds through Sparsity based Compression. - Emilio Rafael Balda; Niklas Koep; Arash Behboodi; Rudolf Mathar (AISTATS, 2020)