David Stutz

sciscore: 2.381



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

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Summary by David Stutz 1 day ago
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Summary by David Stutz 1 day ago
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Certified Robustness to Adversarial Examples with Differential Privacy
Mathias Lecuyer and Vaggelis Atlidakis and Roxana Geambasu and Daniel Hsu and Suman Jana
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.AI, cs.CR, cs.LG

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Summary by David Stutz 1 day ago
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Summary by David Stutz 1 day ago
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Summary by David Stutz 1 day ago
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Summary by David Stutz 1 day ago
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Summary by David Stutz 1 day ago
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Summary by David Stutz 1 day ago
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On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models
Sven Gowal and Krishnamurthy Dvijotham and Robert Stanforth and Rudy Bunel and Chongli Qin and Jonathan Uesato and Relja Arandjelovic and Timothy Mann and Pushmeet Kohli
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.CR, stat.ML

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Summary by David Stutz 3 days ago
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Summary by David Stutz 3 days ago
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1 Comments
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Summary by David Stutz 3 days ago
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Neural Networks with Structural Resistance to Adversarial Attacks
Luca de Alfaro
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.CR, cs.LG, cs.NE

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Summary by David Stutz 3 days ago
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Summary by David Stutz 3 days ago
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Summary by David Stutz 3 days ago
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The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle and Michael Carbin
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, cs.AI, cs.NE

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Summary by David Stutz 1 week ago
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Certified Adversarial Robustness via Randomized Smoothing
Jeremy M Cohen and Elan Rosenfeld and J. Zico Kolter
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, stat.ML

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Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang and Yixuan Li and R. Srikant
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, stat.ML

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Adding Gradient Noise Improves Learning for Very Deep Networks
Arvind Neelakantan and Luke Vilnis and Quoc V. Le and Ilya Sutskever and Lukasz Kaiser and Karol Kurach and James Martens
arXiv e-Print archive - 2015 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by David Stutz 1 week ago
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Summary by David Stutz 1 week ago
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Summary by David Stutz 1 week ago
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A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Examples
Beilun Wang and Ji Gao and Yanjun Qi
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG, cs.CR, cs.CV

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Summary by David Stutz 1 week ago
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Summary by David Stutz 1 week ago
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Summary by David Stutz 1 week ago
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Summary by David Stutz 1 week ago
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On the importance of single directions for generalization
Ari S. Morcos and David G. T. Barrett and Neil C. Rabinowitz and Matthew Botvinick
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.AI, cs.LG, cs.NE

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Improving Transferability of Adversarial Examples with Input Diversity
Cihang Xie and Zhishuai Zhang and Yuyin Zhou and Song Bai and Jianyu Wang and Zhou Ren and Alan Yuille
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CV, cs.LG, stat.ML

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Regularizing Neural Networks by Penalizing Confident Output Distributions
Gabriel Pereyra and George Tucker and Jan Chorowski and Łukasz Kaiser and Geoffrey Hinton
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.NE, cs.LG

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Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer
Hsueh-Ti Derek Liu and Michael Tao and Chun-Liang Li and Derek Nowrouzezahrai and Alec Jacobson
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.CV, cs.GR, stat.ML

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Summary by David Stutz 1 week ago
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Summary by David Stutz 1 week ago
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Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
Been Kim and Martin Wattenberg and Justin Gilmer and Carrie Cai and James Wexler and Fernanda Viegas and Rory Sayres
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML

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Black-box Adversarial Attacks with Limited Queries and Information
Andrew Ilyas and Logan Engstrom and Anish Athalye and Jessy Lin
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CV, cs.CR, stat.ML

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On the Intriguing Connections of Regularization, Input Gradients and Transferability of Evasion and Poisoning Attacks
Ambra Demontis and Marco Melis and Maura Pintor and Matthew Jagielski and Battista Biggio and Alina Oprea and Cristina Nita-Rotaru and Fabio Roli
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.CR, stat.ML, 68T10, 68T45

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Summary by David Stutz 1 week ago
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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Playing the Game of Universal Adversarial Perturbations
Julien Perolat and Mateusz Malinowski and Bilal Piot and Olivier Pietquin
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.CV, stat.ML

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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Progressive Neural Networks
Andrei A. Rusu and Neil C. Rabinowitz and Guillaume Desjardins and Hubert Soyer and James Kirkpatrick and Koray Kavukcuoglu and Razvan Pascanu and Raia Hadsell
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG

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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks
Sascha Saralajew and Lars Holdijk and Maike Rees and Thomas Villmann
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, cs.AI, cs.CV, stat.ML

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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Towards the first adversarially robust neural network model on MNIST
Lukas Schott and Jonas Rauber and Matthias Bethge and Wieland Brendel
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CV

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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Adversarial Training Versus Weight Decay
Angus Galloway and Thomas Tanay and Graham W. Taylor
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 2 weeks ago
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Summary by David Stutz 5 months ago
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Summary by David Stutz 5 months ago
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Summary by David Stutz 5 months ago
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Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning
Nicolas Papernot and Patrick McDaniel
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by David Stutz 5 months ago
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Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks
Bo Luo and Yannan Liu and Lingxiao Wei and Qiang Xu
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.CR, stat.ML

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Summary by David Stutz 5 months ago
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On Calibration of Modern Neural Networks
Chuan Guo and Geoff Pleiss and Yu Sun and Kilian Q. Weinberger
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG

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Summary by David Stutz 5 months ago
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Summary by David Stutz 5 months ago
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Summary by David Stutz 5 months ago
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Attacking the Madry Defense Model with $L_1$-based Adversarial Examples
Yash Sharma and Pin-Yu Chen
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML, cs.CR, cs.LG

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