Table 2 Performance of the LR10 classifier on aggregated crowd features across privacy-preserving mechanisms when using the mode, median, and mean aggregation methods, respectively.

From: Crowdsourced privacy-preserved feature tagging of short home videos for machine learning ASD detection

Privacy mechanism

Accuracy (%)

Precision (%)

Sensitivity [Recall] (%)

Specificity (%)

Mode

Median

Mean

Mode

Median

Mean

Mode

Median

Mean

Mode

Median

Mean

Unaltered

96.0

92.0

90.0

100.0

88

85.7

92.0

96.0

96.0

100.0

88.0

84.0

Face box

94.0

88.0

82.0

95.8

85.2

73.5

92.0

92.0

100.0

96.0

84.0

96.0

Pitch shift

82.0

82.0

88.0

83.3

73.6

71.4

80.0

100.0

100.0

84.0

64.0

60.0

Face box and pitch shift

86.0

78.0

80.0

84.6

70.1

71.4

88.0

96.0

100.0

84.0

60.0

60.0

  1. Sensitivity of the classifier is retained even with the most stringent privacy-preserving mechanisms. A probability threshold of 0.5 was used to distinguish the ASD and neurotypical classes.