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Semidefinite relaxations for certifying robustness to adversarial
  examples

Semidefinite relaxations for certifying robustness to adversarial examples

2 November 2018
Aditi Raghunathan
Jacob Steinhardt
Percy Liang
    AAML
ArXivPDFHTML

Papers citing "Semidefinite relaxations for certifying robustness to adversarial examples"

13 / 113 papers shown
Title
Defending Against Physically Realizable Attacks on Image Classification
Defending Against Physically Realizable Attacks on Image Classification
Tong Wu
Liang Tong
Yevgeniy Vorobeychik
AAML
22
125
0
20 Sep 2019
Implicit Deep Learning
Implicit Deep Learning
L. Ghaoui
Fangda Gu
Bertrand Travacca
Armin Askari
Alicia Y. Tsai
AI4CE
34
176
0
17 Aug 2019
ART: Abstraction Refinement-Guided Training for Provably Correct Neural
  Networks
ART: Abstraction Refinement-Guided Training for Provably Correct Neural Networks
Xuankang Lin
He Zhu
R. Samanta
Suresh Jagannathan
AAML
27
28
0
17 Jul 2019
Certifiable Robustness and Robust Training for Graph Convolutional
  Networks
Certifiable Robustness and Robust Training for Graph Convolutional Networks
Daniel Zügner
Stephan Günnemann
OffRL
39
162
0
28 Jun 2019
Provably Robust Deep Learning via Adversarially Trained Smoothed
  Classifiers
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
Hadi Salman
Greg Yang
Jungshian Li
Pengchuan Zhang
Huan Zhang
Ilya P. Razenshteyn
Sébastien Bubeck
AAML
33
536
0
09 Jun 2019
Scaleable input gradient regularization for adversarial robustness
Scaleable input gradient regularization for adversarial robustness
Chris Finlay
Adam M. Oberman
AAML
16
77
0
27 May 2019
Adversarial Training for Free!
Adversarial Training for Free!
Ali Shafahi
Mahyar Najibi
Amin Ghiasi
Zheng Xu
John P. Dickerson
Christoph Studer
L. Davis
Gavin Taylor
Tom Goldstein
AAML
68
1,227
0
29 Apr 2019
Defending against Whitebox Adversarial Attacks via Randomized
  Discretization
Defending against Whitebox Adversarial Attacks via Randomized Discretization
Yuchen Zhang
Percy Liang
AAML
32
75
0
25 Mar 2019
A Convex Relaxation Barrier to Tight Robustness Verification of Neural
  Networks
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks
Hadi Salman
Greg Yang
Huan Zhang
Cho-Jui Hsieh
Pengchuan Zhang
AAML
21
263
0
23 Feb 2019
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
Eric Wong
Frank R. Schmidt
J. Zico Kolter
AAML
27
210
0
21 Feb 2019
Certified Adversarial Robustness via Randomized Smoothing
Certified Adversarial Robustness via Randomized Smoothing
Jeremy M. Cohen
Elan Rosenfeld
J. Zico Kolter
AAML
17
1,995
0
08 Feb 2019
Strong mixed-integer programming formulations for trained neural
  networks
Strong mixed-integer programming formulations for trained neural networks
Ross Anderson
Joey Huchette
Christian Tjandraatmadja
J. Vielma
19
251
0
20 Nov 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
249
1,842
0
03 Feb 2017
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