Fetching the paper…
Reading the bibliography…
Adversarial examples are a pervasive phenomenon of machine learning models where seemingly imperceptible perturbations to the input lead to misclassifications for otherwise statistically accurate models.
A transformation for extracting new descriptors of shape
H. Blum · 1967
Earlier work this paper cites.
Support-vector networks
C. Cortes and V. Vapnik · 1995
Earlier work this paper cites.
Triangulating Topological Spaces
H. Edelsbrunner and N. R. Shah · 1997
Earlier work this paper cites.
The crust and the beta-skeleton: Combinatorial curve reconstruction
N. Amenta, M. W. Bern, and D. Eppstein · 1998
Earlier work this paper cites.
Surface reconstruction by voronoi filtering
N. Amenta and M. W. Bern · 1999
Earlier work this paper cites.
A simple provable algorithm for curve reconstruction
T. K. Dey and P. Kumar · 1999
Earlier work this paper cites.
Sliver exudation
S. Cheng, T. K. Dey, H. Edelsbrunner, M. A. Facello, and S. Teng · 2000
Earlier work this paper cites.
A simple algorithm for homeomorphic surface reconstruction
N. Amenta, S. Choi, T. K. Dey, and N. Leekha · 2002
Earlier work this paper cites.
Provable surface reconstruction from noisy samples
T. K. Dey and S. Goswami · 2004
Earlier work this paper cites.
Kernel Methods for Pattern Analysis
J. Shawe-Taylor and N. Cristianini · 2004
Earlier work this paper cites.
Manifold reconstruction from point samples
S. Cheng, T. K. Dey, and E. A. Ramos · 2005
Earlier work this paper cites.
Critical points of the distance to an epsilon-sampling of a surface and flow-complex-based surface reconstruction
T. K. Dey, J. Giesen, E. A. Ramos, and B. Sadri · 2005
Earlier work this paper cites.
Curve and Surface Reconstruction: Algorithms with Mathematical Analysis
T. K. Dey · 2007
Earlier work this paper cites.
Delaunay Mesh Generation
S.-W. Cheng, T. K. Dey, and J. R. Shewchuk · 2012
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Earlier work this paper cites.
Intriguing properties of neural networks
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. J. Goodfellow, and R. Fergus · 2013
Earlier work this paper cites.
Manifold reconstruction using tangential delaunay complexes
J. Boissonnat and A. Ghosh · 2014
Cited alongside, same era.
Explaining and harnessing adversarial examples
I. J. Goodfellow, J. Shlens, and C. Szegedy · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2015
Cited alongside, same era.
Learning contact-rich manipulation skills with guided policy search
S. Levine, N. Wagener, and P. Abbeel · 2015
Cited alongside, same era.
Fixed points of the restricted delaunay triangulation operator
M. Khoury and J. R. Shewchuk · 2016
Cited alongside, same era.
Adversarial examples in the physical world
A. Kurakin, I. Goodfellow, and S. Bengio · 2016
Cited alongside, same era.
Decision-based adversarial attacks: Reliable attacks against black-box machine learning models
W. Brendel, J. Rauber, and M. Bethge · 2018
Closest in time.
End-to-end driving via conditional imitation learning
F. Codevilla, M. Müller, A. Dosovitskiy, A. López, and V. Koltun · 2018
Closest in time.
Large margin deep networks for classification
G. F. Elsayed, D. Krishnan, H. Mobahi, K. Regan, and S. Bengio · 2018
Closest in time.
Robustness of classifiers to uniform lp and gaussian noise
J. Franceschi, A. Fawzi, and O. Fawzi · 2018
Closest in time.
J. Gilmer, L. Metz, F. Faghri, S. S. Schoenholz, M. Raghu, M. Wattenberg, and I. J. Goodfellow · 2018
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Large-margin softmax loss for convolutional neural networks
W. Liu, Y. Wen, Z. Yu, and M. Yang · 2016
Cited alongside, same era.
On the depth of deep neural networks: A theoretical view
S. Sun, W. Chen, L. Wang, X. Liu, and T.-Y. Liu · 2016
Cited alongside, same era.
Google’s neural machine translation system: Bridging the gap between human and machine translation
Y. Wu, M. Schuster, Z. Chen, Q. V. Le, M. Norouzi, W. Macherey, M. Krikun, Y. Cao, Q. Gao, K. Macherey, J. Klingner, A. Shah, M. Johnson, X. Liu, L. Kaiser, S. Gouws, Y. Kato, T. Kudo, H. Kazawa, K. Stevens, G. Kurian, N. Patil, W. Wang, C. Young, J. Smith, J. Riesa, A. Rudnick, O. Vinyals, G. Corrado, M. Hughes, and J. Dean · 2016
Cited alongside, same era.
Dermatologist-level classification of skin cancer with deep neural networks
A. Esteva, B. Kuprel, R. A. Novoa, J. Ko, S. M. Swetter, H. M. Blau, and S. Thrun · 2017
Cited alongside, same era.
Soft-margin softmax for deep classification
X. Liang, X. Wang, Z. Lei, S. Liao, and S. Z. Li · 2017
Cited alongside, same era.
Practical black-box attacks against machine learning
N. Papernot, P. McDaniel, I. Goodfellow, S. Jha, Z. B. Celik, and A. Swami · 2017
Cited alongside, same era.
A. Madry, A. Makelov, L. Schmidt, D. Tsipras, and A. Vladu · 2018
Closest in time.
Technical report on the cleverhans v2.1.0 adversarial examples library
N. Papernot, F. Faghri, N. Carlini, I. Goodfellow, R. Feinman, A. Kurakin, C. Xie, Y. Sharma, T. Brown, A. Roy, A. Matyasko, V. Behzadan, K. Hambardzumyan, Z. Zhang, Y.-L. Juang, Z. Li, R. Sheatsley, A. Garg, J. Uesato, W. Gierke, Y. Dong, D. Berthelot, P. Hendricks, J. Rauber, and R. Long · 2018
Closest in time.
Certified defenses against adversarial examples
A. Raghunathan, J. Steinhardt, and P. Liang · 2018
Closest in time.
Adversarially robust generalization requires more data
L. Schmidt, S. Santurkar, D. Tsipras, K. Talwar, and A. Madry · 2018
Closest in time.
Towards the first adversarially robust neural network model on MNIST
L. Schott, J. Rauber, M. Bethge, and W. Brendel · 2018
Closest in time.
Certifying some distributional robustness with principled adversarial training
A. Sinha, H. Namkoong, and J. Duchi · 2018
Closest in time.
The implicit bias of gradient descent on separable data
D. Soudry, E. Hoffer, and N. Srebro · 2018
Closest in time.
Analyzing the robustness of nearest neighbors to adversarial examples
Y. Wang, S. Jha, and K. Chaudhuri · 2018
Closest in time.
Provable defenses against adversarial examples via the convex outer adversarial polytope
E. Wong and J. Z. Kolter · 2018
Closest in time.
Distributionally adversarial attack
T. Zheng, C. Chen, and K. Ren · 2018
Closest in time.