David Stutz

sciscore: 2.851




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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 2 months 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 2 months 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 2 months 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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 2 months ago
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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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Summary by David Stutz 4 months ago
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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 4 months ago
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