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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
Universal adversarial perturbations for multiple classification tasks
  with quantum classifiers
Universal adversarial perturbations for multiple classification tasks with quantum classifiers
Yun-Zhong Qiu
AAML
22
1
0
21 Jun 2023
Enhancing Quantum Adversarial Robustness by Randomized Encodings
Enhancing Quantum Adversarial Robustness by Randomized Encodings
Weiyuan Gong
D. Yuan
Weikang Li
D. Deng
AAML
19
19
0
05 Dec 2022
Benchmarking Adversarially Robust Quantum Machine Learning at Scale
Benchmarking Adversarially Robust Quantum Machine Learning at Scale
Maxwell T. West
S. Erfani
C. Leckie
M. Sevior
Lloyd C. L. Hollenberg
Muhammad Usman
AAML
OOD
22
33
0
23 Nov 2022
Verifying Fairness in Quantum Machine Learning
Verifying Fairness in Quantum Machine Learning
J. Guan
Wang Fang
Mingsheng Ying
FaML
11
11
0
22 Jul 2022
Information-theoretic bounds on quantum advantage in machine learning
Information-theoretic bounds on quantum advantage in machine learning
Hsin-Yuan Huang
R. Kueng
J. Preskill
63
213
0
07 Jan 2021
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
226
1,835
0
03 Feb 2017
1