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. 1910.04249
  4. Cited By
Probabilistic Verification and Reachability Analysis of Neural Networks
  via Semidefinite Programming

Probabilistic Verification and Reachability Analysis of Neural Networks via Semidefinite Programming

9 October 2019
Mahyar Fazlyab
M. Morari
George J. Pappas
    AAML
ArXiv (abs)PDFHTML

Papers citing "Probabilistic Verification and Reachability Analysis of Neural Networks via Semidefinite Programming"

17 / 17 papers shown
Title
Distributionally Robust Statistical Verification with Imprecise Neural Networks
Distributionally Robust Statistical Verification with Imprecise Neural Networks
Souradeep Dutta
Michele Caprio
Vivian Lin
Matthew Cleaveland
Kuk Jin Jang
I. Ruchkin
O. Sokolsky
Insup Lee
OODAAML
209
8
0
28 Aug 2023
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic
  Approach
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach
Tsui-Wei Weng
Pin-Yu Chen
Lam M. Nguyen
M. Squillante
Ivan Oseledets
Luca Daniel
AAML
51
30
0
18 Dec 2018
Verification of deep probabilistic models
Verification of deep probabilistic models
Krishnamurthy Dvijotham
M. Garnelo
Alhussein Fawzi
Pushmeet Kohli
69
23
0
06 Dec 2018
Neural Lander: Stable Drone Landing Control using Learned Dynamics
Neural Lander: Stable Drone Landing Control using Learned Dynamics
Guanya Shi
Xichen Shi
Michael O'Connell
Rose Yu
Kamyar Azizzadenesheli
Anima Anandkumar
Yisong Yue
Soon-Jo Chung
108
276
0
19 Nov 2018
Efficient Formal Safety Analysis of Neural Networks
Efficient Formal Safety Analysis of Neural Networks
Shiqi Wang
Kexin Pei
Justin Whitehouse
Junfeng Yang
Suman Jana
AAML
78
404
0
19 Sep 2018
Linear model predictive safety certification for learning-based control
Linear model predictive safety certification for learning-based control
K. P. Wabersich
Melanie Zeilinger
37
169
0
22 Mar 2018
A Dual Approach to Scalable Verification of Deep Networks
A Dual Approach to Scalable Verification of Deep Networks
Krishnamurthy Dvijotham
Dvijotham
Robert Stanforth
Sven Gowal
Timothy A. Mann
Pushmeet Kohli
56
399
0
17 Mar 2018
Evaluating Robustness of Neural Networks with Mixed Integer Programming
Evaluating Robustness of Neural Networks with Mixed Integer Programming
Vincent Tjeng
Kai Y. Xiao
Russ Tedrake
AAML
77
117
0
20 Nov 2017
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
148
2,326
0
24 Oct 2017
Output Reachable Set Estimation and Verification for Multi-Layer Neural
  Networks
Output Reachable Set Estimation and Verification for Multi-Layer Neural Networks
Weiming Xiang
Hoang-Dung Tran
Taylor T. Johnson
110
294
0
09 Aug 2017
An approach to reachability analysis for feed-forward ReLU neural
  networks
An approach to reachability analysis for feed-forward ReLU neural networks
A. Lomuscio
Lalit Maganti
67
359
0
22 Jun 2017
Formal Guarantees on the Robustness of a Classifier against Adversarial
  Manipulation
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation
Matthias Hein
Maksym Andriushchenko
AAML
119
512
0
23 May 2017
Universal adversarial perturbations
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
152
2,533
0
26 Oct 2016
Measuring Neural Net Robustness with Constraints
Measuring Neural Net Robustness with Constraints
Osbert Bastani
Yani Andrew Ioannou
Leonidas Lampropoulos
Dimitrios Vytiniotis
A. Nori
A. Criminisi
AAML
99
424
0
24 May 2016
End to End Learning for Self-Driving Cars
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
100
4,175
0
25 Apr 2016
Improving the Robustness of Deep Neural Networks via Stability Training
Improving the Robustness of Deep Neural Networks via Stability Training
Stephan Zheng
Yang Song
Thomas Leung
Ian Goodfellow
OOD
58
639
0
15 Apr 2016
1