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ARCHIVEMONTHLY»AUGUST2019«
AUGUST2019
READING NOTES
Julien PĂ©rolat, Mateusz Malinowski, Bilal Piot, Olivier Pietquin.
Playing the Game of Universal Adversarial Perturbations
. CoRR abs/1809.07802 (2018).
ADVERSARIAL MACHINE LEARNING
DEEP LEARNING
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AUGUST2019
READING NOTES
Paolo Russu, Ambra Demontis, Battista Biggio, Giorgio Fumera, Fabio Roli.
Secure Kernel Machines against Evasion Attacks
. AISec@CCS, 2016.
ADVERSARIAL MACHINE LEARNING
MACHINE LEARNING
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AUGUST2019
READING NOTES
Andrei A. Rusu, Neil C. Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, Raia Hadsell.
Progressive Neural Networks
. CoRR abs/1606.04671 (2016).
DEEP LEARNING
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AUGUST2019
READING NOTES
Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, Tom Goldstein.
Are adversarial examples inevitable?
CoRR abs/1809.02104 (2018).
ADVERSARIAL MACHINE LEARNING
DEEP LEARNING
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AUGUST2019
READING NOTES
Ali Shafahi, Amin Ghiasi, Furong Huang, Tom Goldstein.
Label Smoothing and Logit Squeezing: A Replacement for Adversarial Training?
openreview.net/forum?id=BJlr0j0ctX.
ADVERSARIAL MACHINE LEARNING
DEEP LEARNING
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