ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.07532
  4. Cited By
v1v2 (latest)

Certifying Neural Network Robustness to Random Input Noise from Samples

15 October 2020
Brendon G. Anderson
Somayeh Sojoudi
    AAML
ArXiv (abs)PDFHTML

Papers citing "Certifying Neural Network Robustness to Random Input Noise from Samples"

14 / 14 papers shown
Title
Tightened Convex Relaxations for Neural Network Robustness Certification
Tightened Convex Relaxations for Neural Network Robustness Certification
Brendon G. Anderson
Ziye Ma
Jingqi Li
Somayeh Sojoudi
AAML
45
32
0
01 Apr 2020
Probabilistic Verification and Reachability Analysis of Neural Networks
  via Semidefinite Programming
Probabilistic Verification and Reachability Analysis of Neural Networks via Semidefinite Programming
Mahyar Fazlyab
M. Morari
George J. Pappas
AAML
67
41
0
09 Oct 2019
Robustness of Neural Networks: A Probabilistic and Practical Approach
Robustness of Neural Networks: A Probabilistic and Practical Approach
Ravi Mangal
A. Nori
A. Orso
AAMLOOD
54
76
0
15 Feb 2019
Verification of deep probabilistic models
Verification of deep probabilistic models
Krishnamurthy Dvijotham
M. Garnelo
Alhussein Fawzi
Pushmeet Kohli
67
23
0
06 Dec 2018
A Statistical Approach to Assessing Neural Network Robustness
A Statistical Approach to Assessing Neural Network Robustness
Stefan Webb
Tom Rainforth
Yee Whye Teh
M. P. Kumar
AAML
60
83
0
17 Nov 2018
Semidefinite relaxations for certifying robustness to adversarial
  examples
Semidefinite relaxations for certifying robustness to adversarial examples
Aditi Raghunathan
Jacob Steinhardt
Percy Liang
AAML
100
439
0
02 Nov 2018
Efficient Neural Network Robustness Certification with General
  Activation Functions
Efficient Neural Network Robustness Certification with General Activation Functions
Huan Zhang
Tsui-Wei Weng
Pin-Yu Chen
Cho-Jui Hsieh
Luca Daniel
AAML
93
763
0
02 Nov 2018
Towards Fast Computation of Certified Robustness for ReLU Networks
Towards Fast Computation of Certified Robustness for ReLU Networks
Tsui-Wei Weng
Huan Zhang
Hongge Chen
Zhao Song
Cho-Jui Hsieh
Duane S. Boning
Inderjit S. Dhillon
Luca Daniel
AAML
108
695
0
25 Apr 2018
Robustness of classifiers to uniform $\ell\_p$ and Gaussian noise
Robustness of classifiers to uniform ℓ_p\ell\_pℓ_p and Gaussian noise
Jean-Yves Franceschi
Alhussein Fawzi
Omar Fawzi
47
21
0
22 Feb 2018
Provable defenses against adversarial examples via the convex outer
  adversarial polytope
Provable defenses against adversarial examples via the convex outer adversarial polytope
Eric Wong
J. Zico Kolter
AAML
128
1,504
0
02 Nov 2017
One pixel attack for fooling deep neural networks
One pixel attack for fooling deep neural networks
Jiawei Su
Danilo Vasconcellos Vargas
Kouichi Sakurai
AAML
127
2,327
0
24 Oct 2017
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
318
1,873
0
03 Feb 2017
Robustness of classifiers: from adversarial to random noise
Robustness of classifiers: from adversarial to random noise
Alhussein Fawzi
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
92
376
0
31 Aug 2016
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
280
14,961
1
21 Dec 2013
1