David Stutz

sciscore: 2.622



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

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Summary by David Stutz 4 years ago
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Low Frequency Adversarial Perturbation
Chuan Guo and Jared S. Frank and Kilian Q. Weinberger
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CV

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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Layer Normalization
Jimmy Lei Ba and Jamie Ryan Kiros and Geoffrey E. Hinton
arXiv e-Print archive - 2016 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by David Stutz 4 years ago
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Sensitivity and Generalization in Neural Networks: an Empirical Study
Roman Novak and Yasaman Bahri and Daniel A. Abolafia and Jeffrey Pennington and Jascha Sohl-Dickstein
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.AI, cs.LG, cs.NE

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Summary by David Stutz 4 years ago
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Instance Normalization: The Missing Ingredient for Fast Stylization
Dmitry Ulyanov and Andrea Vedaldi and Victor Lempitsky
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.CV

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Summary by David Stutz 4 years ago
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Group Normalization
Yuxin Wu and Kaiming He
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CV, cs.LG

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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years 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 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years ago
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Summary by David Stutz 4 years 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 4 years ago
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Summary by David Stutz 4 years ago
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1 Comments
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Summary by David Stutz 4 years 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 4 years 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 4 years 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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Summary by David Stutz 4 years ago
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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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Summary by David Stutz 4 years ago
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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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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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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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Summary by David Stutz 4 years ago
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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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Summary by David Stutz 4 years ago
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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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Summary by David Stutz 4 years ago
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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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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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Summary by David Stutz 4 years ago
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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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Summary by David Stutz 4 years ago
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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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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 4 years ago
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Summary by David Stutz 4 years 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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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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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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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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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 years 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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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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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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Adversarial Attacks on Neural Network Policies
Sandy Huang and Nicolas Papernot and Ian Goodfellow and Yan Duan and Pieter Abbeel
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, cs.CR, stat.ML

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Summary by David Stutz 5 years ago
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Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Battista Biggio and Fabio Roli
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CV, cs.CR, cs.GT, cs.LG

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Summary by David Stutz 5 years ago
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Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
Naveed Akhtar and Ajmal Mian
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CV

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Summary by David Stutz 5 years ago
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Adversarial Examples: Attacks and Defenses for Deep Learning
Xiaoyong Yuan and Pan He and Qile Zhu and Rajendra Rana Bhat and Xiaolin Li
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, cs.CR, cs.CV, stat.ML

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Adversarial Diversity and Hard Positive Generation
Andras Rozsa and Ethan M. Rudd and Terrance E. Boult
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.CV

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Measuring Neural Net Robustness with Constraints
Osbert Bastani and Yani Ioannou and Leonidas Lampropoulos and Dimitrios Vytiniotis and Aditya Nori and Antonio Criminisi
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG, cs.CV, cs.NE

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Deep Image Prior
Dmitry Ulyanov and Andrea Vedaldi and Victor Lempitsky
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CV, stat.ML

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Adversarial Spheres
Justin Gilmer and Luke Metz and Fartash Faghri and Samuel S. Schoenholz and Maithra Raghu and Martin Wattenberg and Ian Goodfellow
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CV, 68T45, I.2.6

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Robustness of classifiers: from adversarial to random noise
Alhussein Fawzi and Seyed-Mohsen Moosavi-Dezfooli and Pascal Frossard
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG, cs.CV, stat.ML

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A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples
Thomas Tanay and Lewis Griffin
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG, stat.ML

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Certified Defenses against Adversarial Examples
Aditi Raghunathan and Jacob Steinhardt and Percy Liang
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG

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Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
Xingjun Ma and Bo Li and Yisen Wang and Sarah M. Erfani and Sudanthi Wijewickrema and Grant Schoenebeck and Dawn Song and Michael E. Houle and James Bailey
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.CR, cs.CV

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Detecting Adversarial Samples from Artifacts
Reuben Feinman and Ryan R. Curtin and Saurabh Shintre and Andrew B. Gardner
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML, cs.LG

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Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini and David Wagner
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, cs.CR, cs.CV

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On the (Statistical) Detection of Adversarial Examples
Kathrin Grosse and Praveen Manoharan and Nicolas Papernot and Michael Backes and Patrick McDaniel
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CR, cs.LG, stat.ML

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Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients
Andrew Slavin Ross and Finale Doshi-Velez
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, cs.CR, cs.CV

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Adversarial Vulnerability of Neural Networks Increases With Input Dimension
Carl-Johann Simon-Gabriel and Yann Ollivier and Léon Bottou and Bernhard Schölkopf and David Lopez-Paz
arXiv e-Print archive - 2018 via Local arXiv
Keywords: stat.ML, cs.CV, cs.LG, 68T45, I.2.6

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Biologically inspired protection of deep networks from adversarial attacks
Aran Nayebi and Surya Ganguli
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML, cs.LG, q-bio.NC

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Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
Weilin Xu and David Evans and Yanjun Qi
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CV, cs.CR, cs.LG

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Certifying Some Distributional Robustness with Principled Adversarial Training
Aman Sinha and Hongseok Namkoong and John Duchi
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML, cs.LG

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Understanding Adversarial Training: Increasing Local Stability of Neural Nets through Robust Optimization
Uri Shaham and Yutaro Yamada and Sahand Negahban
arXiv e-Print archive - 2015 via Local arXiv
Keywords: stat.ML, cs.LG, cs.NE

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Learning with a Strong Adversary
Ruitong Huang and Bing Xu and Dale Schuurmans and Csaba Szepesvari
arXiv e-Print archive - 2015 via Local arXiv
Keywords: cs.LG

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Distributional Smoothing with Virtual Adversarial Training
Takeru Miyato and Shin-ichi Maeda and Masanori Koyama and Ken Nakae and Shin Ishii
arXiv e-Print archive - 2015 via Local arXiv
Keywords: stat.ML, cs.LG

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Efficient Defenses Against Adversarial Attacks
Valentina Zantedeschi and Maria-Irina Nicolae and Ambrish Rawat
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG

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Ensemble Robustness of Deep Learning Algorithms
Jiashi Feng and Tom Zahavy and Bingyi Kang and Huan Xu and Shie Mannor
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG, cs.CV, stat.ML

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Towards Robust Neural Networks via Random Self-ensemble
Xuanqing Liu and Minhao Cheng and Huan Zhang and Cho-Jui Hsieh
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, cs.CR, stat.ML

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Towards Reverse-Engineering Black-Box Neural Networks
Seong Joon Oh and Max Augustin and Bernt Schiele and Mario Fritz
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML, cs.CR, cs.CV, cs.LG

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Comment on "Biologically inspired protection of deep networks from adversarial attacks"
Wieland Brendel and Matthias Bethge
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML, cs.LG, q-bio.NC

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ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models
Pin-Yu Chen and Huan Zhang and Yash Sharma and Jinfeng Yi and Cho-Jui Hsieh
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML, cs.CR, cs.LG

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Adversarial Robustness: Softmax versus Openmax
Andras Rozsa and Manuel Günther and Terrance E. Boult
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CV

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The Limitations of Deep Learning in Adversarial Settings
Nicolas Papernot and Patrick McDaniel and Somesh Jha and Matt Fredrikson and Z. Berkay Celik and Ananthram Swami
arXiv e-Print archive - 2015 via Local arXiv
Keywords: cs.CR, cs.LG, cs.NE, stat.ML

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A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations
Logan Engstrom and Brandon Tran and Dimitris Tsipras and Ludwig Schmidt and Aleksander Madry
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.LG, cs.CV, cs.NE, stat.ML

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Adversarial examples in the physical world
Alexey Kurakin and Ian Goodfellow and Samy Bengio
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.CV, cs.CR, cs.LG, stat.ML

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NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles
Jiajun Lu and Hussein Sibai and Evan Fabry and David Forsyth
arXiv e-Print archive - 2017 via Local arXiv
Keywords: cs.CV, cs.AI, cs.CR

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Adversarial Machine Learning at Scale
Alexey Kurakin and Ian Goodfellow and Samy Bengio
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.CV, cs.CR, cs.LG, stat.ML

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Delving into Transferable Adversarial Examples and Black-box Attacks
Yanpei Liu and Xinyun Chen and Chang Liu and Dawn Song
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG

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Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli and Alhussein Fawzi and Omar Fawzi and Pascal Frossard
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.CV, cs.AI, cs.LG, stat.ML

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Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini and David Wagner
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.CR, cs.CV

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Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry and Aleksandar Makelov and Ludwig Schmidt and Dimitris Tsipras and Adrian Vladu
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML, cs.LG, cs.NE

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Explaining and Harnessing Adversarial Examples
Ian J. Goodfellow and Jonathon Shlens and Christian Szegedy
arXiv e-Print archive - 2014 via Local arXiv
Keywords: stat.ML, cs.LG

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Ensemble Adversarial Training: Attacks and Defenses
Florian Tramèr and Alexey Kurakin and Nicolas Papernot and Ian Goodfellow and Dan Boneh and Patrick McDaniel
arXiv e-Print archive - 2017 via Local arXiv
Keywords: stat.ML, cs.CR, cs.LG

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Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
Nicolas Papernot and Patrick McDaniel and Xi Wu and Somesh Jha and Ananthram Swami
arXiv e-Print archive - 2015 via Local arXiv
Keywords: cs.CR, cs.LG, cs.NE, stat.ML

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Simple Black-Box Adversarial Perturbations for Deep Networks
Nina Narodytska and Shiva Prasad Kasiviswanathan
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG, cs.CR, stat.ML

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Intriguing properties of neural networks
Christian Szegedy and Wojciech Zaremba and Ilya Sutskever and Joan Bruna and Dumitru Erhan and Ian Goodfellow and Rob Fergus
arXiv e-Print archive - 2013 via Local arXiv
Keywords: cs.CV, cs.LG, cs.NE

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Summary by David Stutz 5 years ago
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