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2022 (4)
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For:
Wang S
, Gong Y.
Adversarial example detection based on saliency map features.
APPL INTELL
2021. [DOI:
10.1007/s10489-021-02759-8
]
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Citation(s) in
RCA
: 4
]
[
Impact Index Per Article: 1.0
]
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Reference Citation Analysis
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[Indexed: 11/28/2022]
Number
Cited by Other Article(s)
1
An Interpretive Adversarial Attack Method: Attacking Softmax Gradient Layer-Wise Relevance Propagation Based on Cosine Similarity Constraint and TS-Invariant.
Neural Process Lett
2022. [DOI:
10.1007/s11063-022-11056-5
]
[
Citation(s) in
RCA
: 0
]
[
Impact Index Per Article: 0
]
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[Indexed: 12/01/2022]
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2
LDN-RC: a lightweight denoising network with residual connection to improve adversarial robustness.
APPL INTELL
2022. [DOI:
10.1007/s10489-022-03847-z
]
[
Citation(s) in
RCA
: 0
]
[
Impact Index Per Article: 0
]
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[Indexed: 11/02/2022]
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3
Sooksatra K
, Rivas P. Evaluation of adversarial attacks sensitivity of classifiers with occluded input data.
Neural Comput Appl
2022. [DOI:
10.1007/s00521-022-07387-y
]
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Citation(s) in
RCA
: 0
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Impact Index Per Article: 0
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[Indexed: 10/18/2022]
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4
Aldahdooh A
, Hamidouche W, Déforges O. Revisiting model’s uncertainty and confidences for adversarial example detection.
APPL INTELL
2022. [DOI:
10.1007/s10489-022-03373-y
]
[
Citation(s) in
RCA
: 1
]
[
Impact Index Per Article: 0.3
]
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[Indexed: 12/21/2022]
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