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MARCH2020
READING NOTES
Juncheng Li, Frank R. Schmidt, J. Zico Kolter.
Adversarial camera stickers: A physical camera-based attack on deep learning systems
. ICML 2019: 3896-3904.
ADVERSARIAL MACHINE LEARNING
COMPUTER VISION
DEEP LEARNING
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MARCH2020
READING NOTES
Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin.
On Norm-Agnostic Robustness of Adversarial Training.
CoRR abs/1905.06455 (2019).
ADVERSARIAL MACHINE LEARNING
DEEP LEARNING
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MARCH2020
READING NOTES
Micah Goldblum, Liam Fowl, Soheil Feizi, Tom Goldstein.
Adversarially Robust Distillation.
CoRR abs/1905.09747 (2019).
ADVERSARIAL MACHINE LEARNING
DEEP LEARNING
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MARCH2020
READING NOTES
Muzammal Naseer, Salman Khan, Fatih Porikli.
Local Gradients Smoothing: Defense Against Localized Adversarial Attacks.
WACV 2019: 1300-1307.
ADVERSARIAL MACHINE LEARNING
DEEP LEARNING
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NOVEMBER2019
READING NOTES
Huan Xu, Shie Mannor.
Robustness and generalization.
Machine Learning 86(3): 391-423 (2012).
MACHINE LEARNING
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NOVEMBER2019
READING NOTES
Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin.
Second-Order Adversarial Attack and Certifiable Robustness
. CoRR abs/1809.03113 (2018).
ADVERSARIAL MACHINE LEARNING
DEEP LEARNING
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OCTOBER2019
READING NOTES
Mathias Lecuyer and Vaggelis Atlidakis and Roxana Geambasu and Daniel Hsu and Suman Jana .
Certified Robustness to Adversarial Examples with Differential Privacy.
CoRR abs/1802.03471v4 (2018).
ADVERSARIAL MACHINE LEARNING
DEEP LEARNING
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OCTOBER2019
READING NOTES
Robert Geirhos, Patricia Rubisch, Claudio Michaelis, Matthias Bethge, Felix A. Wichmann, Wieland Brendel.
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
. CoRR abs/1811.12231 (2018).
DEEP LEARNING
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OCTOBER2019
READING NOTES
Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo.
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods.
ICML Workshop, 2019.
ADVERSARIAL MACHINE LEARNING
DEEP LEARNING
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OCTOBER2019
READING NOTES
Wieland Brendel, Matthias Bethge.
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet.
CoRR abs/1904.00760 (2019).
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