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Robustness Verification of Quantum Classifiers

Robustness Verification of Quantum Classifiers

17 August 2020
J. Guan
Wang Fang
Mingsheng Ying
    AAML
ArXivPDFHTML

Papers citing "Robustness Verification of Quantum Classifiers"

6 / 6 papers shown
Title
TensorFlow Quantum: A Software Framework for Quantum Machine Learning
TensorFlow Quantum: A Software Framework for Quantum Machine Learning
Michael Broughton
Guillaume Verdon
Trevor McCourt
Antonio J. Martinez
Jae Hyeon Yoo
...
Sergio Boixo
Dave Bacon
Alan K. Ho
Hartmut Neven
Masoud Mohseni
VLM
AI4CE
17
205
0
06 Mar 2020
On the Suitability of $L_p$-norms for Creating and Preventing
  Adversarial Examples
On the Suitability of LpL_pLp​-norms for Creating and Preventing Adversarial Examples
Mahmood Sharif
Lujo Bauer
Michael K. Reiter
AAML
109
138
0
27 Feb 2018
Adversarial Patch
Adversarial Patch
Tom B. Brown
Dandelion Mané
Aurko Roy
Martín Abadi
Justin Gilmer
AAML
52
1,093
0
27 Dec 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection
  Methods
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini
D. Wagner
AAML
96
1,851
0
20 May 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
286
1,849
0
03 Feb 2017
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
45
423
0
24 May 2016
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