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Formal Security Analysis of Neural Networks using Symbolic Intervals

Formal Security Analysis of Neural Networks using Symbolic Intervals

28 April 2018
Shiqi Wang
Kexin Pei
Justin Whitehouse
Junfeng Yang
Suman Jana
    AAML
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Papers citing "Formal Security Analysis of Neural Networks using Symbolic Intervals"

14 / 114 papers shown
Title
Securing Connected & Autonomous Vehicles: Challenges Posed by
  Adversarial Machine Learning and The Way Forward
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward
A. Qayyum
Muhammad Usama
Junaid Qadir
Ala I. Al-Fuqaha
AAML
21
187
0
29 May 2019
Testing DNN Image Classifiers for Confusion & Bias Errors
Testing DNN Image Classifiers for Confusion & Bias Errors
Yuchi Tian
Ziyuan Zhong
Vicente Ordonez
Gail E. Kaiser
Baishakhi Ray
24
52
0
20 May 2019
Taking Care of The Discretization Problem: A Comprehensive Study of the
  Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer
  Domain
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain
Lei Bu
Yuchao Duan
Fu Song
Zhe Zhao
AAML
32
18
0
19 May 2019
Robustness Verification of Support Vector Machines
Robustness Verification of Support Vector Machines
Francesco Ranzato
Marco Zanella
AAML
21
17
0
26 Apr 2019
On Training Robust PDF Malware Classifiers
On Training Robust PDF Malware Classifiers
Yizheng Chen
Shiqi Wang
Dongdong She
Suman Jana
AAML
50
68
0
06 Apr 2019
Provable Certificates for Adversarial Examples: Fitting a Ball in the
  Union of Polytopes
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes
Matt Jordan
Justin Lewis
A. Dimakis
AAML
21
57
0
20 Mar 2019
Algorithms for Verifying Deep Neural Networks
Algorithms for Verifying Deep Neural Networks
Changliu Liu
Tomer Arnon
Christopher Lazarus
Christopher A. Strong
Clark W. Barrett
Mykel J. Kochenderfer
AAML
36
393
0
15 Mar 2019
Grammar Based Directed Testing of Machine Learning Systems
Grammar Based Directed Testing of Machine Learning Systems
Sakshi Udeshi
Sudipta Chattopadhyay
21
15
0
26 Feb 2019
Analyzing Deep Neural Networks with Symbolic Propagation: Towards Higher
  Precision and Faster Verification
Analyzing Deep Neural Networks with Symbolic Propagation: Towards Higher Precision and Faster Verification
Jianlin Li
Pengfei Yang
Jiangchao Liu
Liqian Chen
Xiaowei Huang
Lijun Zhang
AAML
24
80
0
26 Feb 2019
Fast Neural Network Verification via Shadow Prices
Fast Neural Network Verification via Shadow Prices
Vicencc Rubies-Royo
Roberto Calandra
D. Stipanović
Claire Tomlin
AAML
40
41
0
19 Feb 2019
MixTrain: Scalable Training of Verifiably Robust Neural Networks
MixTrain: Scalable Training of Verifiably Robust Neural Networks
Yue Zhang
Yizheng Chen
Ahmed Abdou
Mohsen Guizani
AAML
21
23
0
06 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
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
296
3,113
0
04 Nov 2016
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
180
932
0
21 Oct 2016
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