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Towards Practical Verification of Machine Learning: The Case of Computer
  Vision Systems

Towards Practical Verification of Machine Learning: The Case of Computer Vision Systems

5 December 2017
Kexin Pei
Linjie Zhu
Yinzhi Cao
Junfeng Yang
Carl Vondrick
Suman Jana
    AAML
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Papers citing "Towards Practical Verification of Machine Learning: The Case of Computer Vision Systems"

13 / 13 papers shown
Title
The future of human-AI collaboration: a taxonomy of design knowledge for
  hybrid intelligence systems
The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems
Dominik Dellermann
A. Calma
Nikolaus Lipusch
Thorsten Weber
Sascha Weigel
P. Ebel
HAI
25
177
0
07 May 2021
Robust Machine Learning Systems: Challenges, Current Trends,
  Perspectives, and the Road Ahead
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead
Muhammad Shafique
Mahum Naseer
T. Theocharides
C. Kyrkou
O. Mutlu
Lois Orosa
Jungwook Choi
OOD
75
100
0
04 Jan 2021
Adversarial Examples on Object Recognition: A Comprehensive Survey
Adversarial Examples on Object Recognition: A Comprehensive Survey
A. Serban
E. Poll
Joost Visser
AAML
25
73
0
07 Aug 2020
Coverage Guided Testing for Recurrent Neural Networks
Coverage Guided Testing for Recurrent Neural Networks
Wei Huang
Youcheng Sun
Xing-E. Zhao
James Sharp
Wenjie Ruan
Jie Meng
Xiaowei Huang
AAML
17
47
0
05 Nov 2019
Benchmarking Robustness in Object Detection: Autonomous Driving when
  Winter is Coming
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Claudio Michaelis
Benjamin Mitzkus
Robert Geirhos
E. Rusak
Oliver Bringmann
Alexander S. Ecker
Matthias Bethge
Wieland Brendel
3DPC
19
436
0
17 Jul 2019
ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian
  Fault Injection
ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection
Saurabh Jha
Subho Sankar Banerjee
Timothy Tsai
S. Hari
Michael B. Sullivan
Zbigniew T. Kalbarczyk
S. Keckler
R. Iyer
27
120
0
01 Jul 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
21
52
0
20 May 2019
Formal Verification of CNN-based Perception Systems
Formal Verification of CNN-based Perception Systems
Panagiotis Kouvaros
A. Lomuscio
12
37
0
28 Nov 2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided
  Fuzzing
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing
Xiaofei Xie
L. Ma
Felix Juefei Xu
Hongxu Chen
Minhui Xue
Bo-wen Li
Yang Liu
Jianjun Zhao
Jianxiong Yin
Simon See
32
40
0
04 Sep 2018
Formal Security Analysis of Neural Networks using Symbolic Intervals
Formal Security Analysis of Neural Networks using Symbolic Intervals
Shiqi Wang
Kexin Pei
Justin Whitehouse
Junfeng Yang
Suman Jana
AAML
15
471
0
28 Apr 2018
Adversarial Attacks Beyond the Image Space
Adversarial Attacks Beyond the Image Space
Xiaohui Zeng
Chenxi Liu
Yu-Siang Wang
Weichao Qiu
Lingxi Xie
Yu-Wing Tai
Chi-Keung Tang
Alan Yuille
AAML
33
145
0
20 Nov 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
228
1,835
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
M. Kwiatkowska
Sen Wang
Min Wu
AAML
180
932
0
21 Oct 2016
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