PhD student at Max Planck Institute for Informatics; working on adversarial robustness; blog davidstutz.de.

Thwarting Adversarial Examples: An L_0-Robust Sparse Fourier Transform

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Low Frequency Adversarial Perturbation

arXiv e-Print archive - 2018 via Local arXiv

Keywords: cs.CV

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arXiv e-Print archive - 2018 via Local arXiv

Keywords: cs.CV

Semantic Adversarial Examples

Conference and Computer Vision and Pattern Recognition - 2018 via Local CrossRef

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Conference and Computer Vision and Pattern Recognition - 2018 via Local CrossRef

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LaVAN: Localized and Visible Adversarial Noise

International Conference on Machine Learning - 2018 via Local Bibsonomy

Keywords: dblp

International Conference on Machine Learning - 2018 via Local Bibsonomy

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Adversarial camera stickers: A physical camera-based attack on deep learning systems

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2019 via Local Bibsonomy

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Local Gradients Smoothing: Defense Against Localized Adversarial Attacks

2019 IEEE Winter Conference on Applications of Computer Vision (WACV) - 2019 via Local CrossRef

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2019 IEEE Winter Conference on Applications of Computer Vision (WACV) - 2019 via Local CrossRef

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Exploiting the Inherent Limitation of L0 Adversarial Examples

USENIX Association RAID - 2019 via Local Bibsonomy

Keywords: dblp

USENIX Association RAID - 2019 via Local Bibsonomy

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Towards Robust, Locally Linear Deep Networks

International Conference on Learning Representations - 2019 via Local Bibsonomy

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International Conference on Learning Representations - 2019 via Local Bibsonomy

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DPATCH: An Adversarial Patch Attack on Object Detectors

AAAI Conference on Artificial Intelligence - 2019 via Local Bibsonomy

Keywords: dblp

AAAI Conference on Artificial Intelligence - 2019 via Local Bibsonomy

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Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

Neural Information Processing Systems Conference - 2019 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2019 via Local Bibsonomy

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Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy

ACM AISec@CCS - 2019 via Local Bibsonomy

Keywords: dblp

ACM AISec@CCS - 2019 via Local Bibsonomy

Keywords: dblp

For Valid Generalization the Size of the Weights is More Important than the Size of the Network

Neural Information Processing Systems Conference - 1996 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 1996 via Local Bibsonomy

Keywords: dblp

Exploring the Hyperparameter Landscape of Adversarial Robustness

- 2019 via Local Bibsonomy

Keywords: adversarial, robustness

- 2019 via Local Bibsonomy

Keywords: adversarial, robustness

CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2019 via Local Bibsonomy

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The Space of Transferable Adversarial Examples

arXiv e-Print archive - 2017 via Local Bibsonomy

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arXiv e-Print archive - 2017 via Local Bibsonomy

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Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation

arXiv e-Print archive - 2019 via Local Bibsonomy

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arXiv e-Print archive - 2019 via Local Bibsonomy

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Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

International Conference on Learning Representations - 2019 via Local Bibsonomy

Keywords: dblp

International Conference on Learning Representations - 2019 via Local Bibsonomy

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On Norm-Agnostic Robustness of Adversarial Training

arXiv e-Print archive - 2019 via Local Bibsonomy

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arXiv e-Print archive - 2019 via Local Bibsonomy

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Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation

arXiv e-Print archive - 2019 via Local Bibsonomy

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arXiv e-Print archive - 2019 via Local Bibsonomy

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MNIST-C: A Robustness Benchmark for Computer Vision

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2019 via Local Bibsonomy

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Bayesian Uncertainty Estimation for Batch Normalized Deep Networks

International Conference on Machine Learning - 2018 via Local Bibsonomy

Keywords: dblp

International Conference on Machine Learning - 2018 via Local Bibsonomy

Keywords: dblp

Sensitivity and Generalization in Neural Networks: an Empirical Study

arXiv e-Print archive - 2018 via Local arXiv

Keywords: stat.ML, cs.AI, cs.LG, cs.NE

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arXiv e-Print archive - 2018 via Local arXiv

Keywords: stat.ML, cs.AI, cs.LG, cs.NE

Instance Normalization: The Missing Ingredient for Fast Stylization

arXiv e-Print archive - 2016 via Local arXiv

Keywords: cs.CV

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arXiv e-Print archive - 2016 via Local arXiv

Keywords: cs.CV

Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

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A Research Agenda: Dynamic Models to Defend Against Correlated Attacks

arXiv e-Print archive - 2019 via Local Bibsonomy

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arXiv e-Print archive - 2019 via Local Bibsonomy

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On Correlation of Features Extracted by Deep Neural Networks

2019 International Joint Conference on Neural Networks (IJCNN) - 2019 via Local CrossRef

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2019 International Joint Conference on Neural Networks (IJCNN) - 2019 via Local CrossRef

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Sharp Minima Can Generalize For Deep Nets

International Conference on Machine Learning - 2017 via Local Bibsonomy

Keywords: dblp

International Conference on Machine Learning - 2017 via Local Bibsonomy

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Adversarial Examples Are a Natural Consequence of Test Error in Noise

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2019 via Local Bibsonomy

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A Spectral View of Adversarially Robust Features

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

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Regularizing by the Variance of the Activations' Sample-Variances

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Second-Order Adversarial Attack and Certifiable Robustness

arXiv e-Print archive - 2018 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2018 via Local Bibsonomy

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Certified Robustness to Adversarial Examples with Differential Privacy

arXiv e-Print archive - 2018 via Local arXiv

Keywords: stat.ML, cs.AI, cs.CR, cs.LG

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arXiv e-Print archive - 2018 via Local arXiv

Keywords: stat.ML, cs.AI, cs.CR, cs.LG

ImageNet-trained {CNN}s are biased towards texture; increasing shape bias improves accuracy and robustness

International Conference on Learning Representations - 2019 via Local Bibsonomy

Keywords: deep-learning, machine-learning, stable, foundations, robustness, theory

International Conference on Learning Representations - 2019 via Local Bibsonomy

Keywords: deep-learning, machine-learning, stable, foundations, robustness, theory

Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2019 via Local Bibsonomy

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Towards Stable and Efficient Training of Verifiably Robust Neural Networks

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2019 via Local Bibsonomy

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Efficient Neural Network Robustness Certification with General Activation Functions

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

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Generalization in Deep Networks: The Role of Distance from Initialization

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2019 via Local Bibsonomy

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On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models

arXiv e-Print archive - 2018 via Local arXiv

Keywords: cs.LG, cs.CR, stat.ML

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arXiv e-Print archive - 2018 via Local arXiv

Keywords: cs.LG, cs.CR, stat.ML

Batch Normalization is a Cause of Adversarial Vulnerability

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2019 via Local Bibsonomy

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Radial basis function neural networks: a topical state-of-the-artsurvey

Open Computer Science - 2016 via Local Bibsonomy

Keywords: dblp

Open Computer Science - 2016 via Local Bibsonomy

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How Can We Be So Dense? The Benefits of Using Highly Sparse Representations

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2019 via Local Bibsonomy

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Deep-RBF Networks Revisited: Robust Classification with Rejection

arXiv e-Print archive - 2018 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2018 via Local Bibsonomy

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Neural Networks with Structural Resistance to Adversarial Attacks

arXiv e-Print archive - 2018 via Local arXiv

Keywords: stat.ML, cs.CR, cs.LG, cs.NE

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arXiv e-Print archive - 2018 via Local arXiv

Keywords: stat.ML, cs.CR, cs.LG, cs.NE

Adversarial Examples Are Not Bugs, They Are Features

- 2019 via Local Bibsonomy

Keywords: adversarial

- 2019 via Local Bibsonomy

Keywords: adversarial

Bit-Flip Attack: Crushing Neural Network withProgressive Bit Search

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

arXiv e-Print archive - 2019 via Local arXiv

Keywords: cs.LG, cs.AI, cs.NE

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arXiv e-Print archive - 2019 via Local arXiv

Keywords: cs.LG, cs.AI, cs.NE

Certified Adversarial Robustness via Randomized Smoothing

arXiv e-Print archive - 2019 via Local arXiv

Keywords: cs.LG, stat.ML

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arXiv e-Print archive - 2019 via Local arXiv

Keywords: cs.LG, stat.ML

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, stat.ML

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.LG, stat.ML

Adding Gradient Noise Improves Learning for Very Deep Networks

arXiv e-Print archive - 2015 via Local arXiv

Keywords: stat.ML, cs.LG

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arXiv e-Print archive - 2015 via Local arXiv

Keywords: stat.ML, cs.LG

Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples

International Conference on Learning Representations - 2018 via Local Bibsonomy

Keywords: dblp

International Conference on Learning Representations - 2018 via Local Bibsonomy

Keywords: dblp

The Limitations of Adversarial Training and the Blind-Spot Attack

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2019 via Local Bibsonomy

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A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Examples

arXiv e-Print archive - 2016 via Local arXiv

Keywords: cs.LG, cs.CR, cs.CV

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arXiv e-Print archive - 2016 via Local arXiv

Keywords: cs.LG, cs.CR, cs.CV

Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization

Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security - AISec '17 - 2017 via Local CrossRef

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Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security - AISec '17 - 2017 via Local CrossRef

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MagNet: A Two-Pronged Defense against Adversarial Examples

ACM ACM Conference on Computer and Communications Security - 2017 via Local Bibsonomy

Keywords: dblp

ACM ACM Conference on Computer and Communications Security - 2017 via Local Bibsonomy

Keywords: dblp

UPSET and ANGRI : Breaking High Performance Image Classifiers

arXiv e-Print archive - 2017 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2017 via Local Bibsonomy

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On the importance of single directions for generalization

arXiv e-Print archive - 2018 via Local arXiv

Keywords: stat.ML, cs.AI, cs.LG, cs.NE

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arXiv e-Print archive - 2018 via Local arXiv

Keywords: stat.ML, cs.AI, cs.LG, cs.NE

Improving Transferability of Adversarial Examples with Input Diversity

arXiv e-Print archive - 2018 via Local arXiv

Keywords: cs.CV, cs.LG, stat.ML

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arXiv e-Print archive - 2018 via Local arXiv

Keywords: cs.CV, cs.LG, stat.ML

Improving Network Robustness against Adversarial Attacks with Compact Convolution

arXiv e-Print archive - 2017 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2017 via Local Bibsonomy

Keywords: dblp

Regularizing Neural Networks by Penalizing Confident Output Distributions

arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.NE, cs.LG

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: cs.NE, cs.LG

Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer

arXiv e-Print archive - 2018 via Local arXiv

Keywords: cs.LG, cs.CV, cs.GR, stat.ML

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arXiv e-Print archive - 2018 via Local arXiv

Keywords: cs.LG, cs.CV, cs.GR, stat.ML

Enhanced Attacks on Defensively Distilled Deep Neural Networks

arXiv e-Print archive - 2017 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2017 via Local Bibsonomy

Keywords: dblp

Breaking Transferability of Adversarial Samples with Randomness

arXiv e-Print archive - 2018 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2018 via Local Bibsonomy

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Cost-Sensitive Robustness against Adversarial Examples

arXiv e-Print archive - 2018 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2018 via Local Bibsonomy

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Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)

arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML

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arXiv e-Print archive - 2017 via Local arXiv

Keywords: stat.ML

Black-box Adversarial Attacks with Limited Queries and Information

arXiv e-Print archive - 2018 via Local arXiv

Keywords: cs.CV, cs.CR, stat.ML

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arXiv e-Print archive - 2018 via Local arXiv

Keywords: cs.CV, cs.CR, stat.ML

On the Intriguing Connections of Regularization, Input Gradients and Transferability of Evasion and Poisoning Attacks

arXiv e-Print archive - 2018 via Local arXiv

Keywords: cs.LG, cs.CR, stat.ML, 68T10, 68T45

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arXiv e-Print archive - 2018 via Local arXiv

Keywords: cs.LG, cs.CR, stat.ML, 68T10, 68T45

Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Adversarial Dropout for Supervised and Semi-Supervised Learning

AAAI Conference on Artificial Intelligence - 2018 via Local Bibsonomy

Keywords: dblp

AAAI Conference on Artificial Intelligence - 2018 via Local Bibsonomy

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Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks

Springer RAID - 2018 via Local Bibsonomy

Keywords: dblp

Springer RAID - 2018 via Local Bibsonomy

Keywords: dblp

On the Geometry of Adversarial Examples

arXiv e-Print archive - 2018 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2018 via Local Bibsonomy

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The Limitations of Model Uncertainty in Adversarial Settings

arXiv e-Print archive - 2018 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2018 via Local Bibsonomy

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Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2019 via Local Bibsonomy

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The Secret Sharer: Measuring Unintended Neural Network Memorization & Extracting Secrets

arXiv e-Print archive - 2018 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2018 via Local Bibsonomy

Keywords: dblp

Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification

Proceedings of the 33rd Annual Computer Security Applications Conference on - ACSAC 2017 - 2017 via Local CrossRef

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Proceedings of the 33rd Annual Computer Security Applications Conference on - ACSAC 2017 - 2017 via Local CrossRef

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Curriculum Adversarial Training

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence - 2018 via Local CrossRef

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Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence - 2018 via Local CrossRef

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AI2: Safety and Robustness Certification of Neural Networks with Abstract Interpretation

IEEE Computer Society IEEE Symposium on Security and Privacy - 2018 via Local Bibsonomy

Keywords: dblp

IEEE Computer Society IEEE Symposium on Security and Privacy - 2018 via Local Bibsonomy

Keywords: dblp

Towards Robust Interpretability with Self-Explaining Neural Networks

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Neural Information Processing Systems Conference - 2018 via Local Bibsonomy

Keywords: dblp

Efficient Repair of Polluted Machine Learning Systems via Causal Unlearning

Proceedings of the 2018 on Asia Conference on Computer and Communications Security - ASIACCS '18 - 2018 via Local CrossRef

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Proceedings of the 2018 on Asia Conference on Computer and Communications Security - ASIACCS '18 - 2018 via Local CrossRef

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SoK: Science, Security and the Elusive Goal of Security as a Scientific Pursuit

IEEE Computer Society IEEE Symposium on Security and Privacy - 2017 via Local Bibsonomy

Keywords: dblp

IEEE Computer Society IEEE Symposium on Security and Privacy - 2017 via Local Bibsonomy

Keywords: dblp

Model-Reuse Attacks on Deep Learning Systems

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security - CCS '18 - 2018 via Local CrossRef

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Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security - CCS '18 - 2018 via Local CrossRef

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Playing the Game of Universal Adversarial Perturbations

arXiv e-Print archive - 2018 via Local arXiv

Keywords: cs.LG, cs.CV, stat.ML

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arXiv e-Print archive - 2018 via Local arXiv

Keywords: cs.LG, cs.CV, stat.ML

Secure Kernel Machines against Evasion Attacks

Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security - ALSec '16 - 2016 via Local CrossRef

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Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security - ALSec '16 - 2016 via Local CrossRef

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Are adversarial examples inevitable?

arXiv e-Print archive - 2018 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2018 via Local Bibsonomy

Keywords: dblp

On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations

arXiv e-Print archive - 2017 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2017 via Local Bibsonomy

Keywords: dblp

Adversarial Initialization - when your network performs the way I want

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

arXiv e-Print archive - 2019 via Local Bibsonomy

Keywords: dblp

Fault injection attack on deep neural network

2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD) - 2017 via Local CrossRef

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2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD) - 2017 via Local CrossRef

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Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks

arXiv e-Print archive - 2019 via Local arXiv

Keywords: cs.LG, cs.AI, cs.CV, stat.ML

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arXiv e-Print archive - 2019 via Local arXiv

Keywords: cs.LG, cs.AI, cs.CV, stat.ML

Protecting Intellectual Property of Deep Neural Networks with Watermarking

ACM AsiaCCS - 2018 via Local Bibsonomy

Keywords: dblp

ACM AsiaCCS - 2018 via Local Bibsonomy

Keywords: dblp