Class: Google::Apis::DlpV2::GooglePrivacyDlpV2PrivacyMetric
- Inherits:
-
Object
- Object
- Google::Apis::DlpV2::GooglePrivacyDlpV2PrivacyMetric
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- lib/google/apis/dlp_v2/classes.rb,
lib/google/apis/dlp_v2/representations.rb,
lib/google/apis/dlp_v2/representations.rb
Overview
Privacy metric to compute for reidentification risk analysis.
Instance Attribute Summary collapse
-
#categorical_stats_config ⇒ Google::Apis::DlpV2::GooglePrivacyDlpV2CategoricalStatsConfig
Compute numerical stats over an individual column, including number of distinct values and value count distribution.
-
#delta_presence_estimation_config ⇒ Google::Apis::DlpV2::GooglePrivacyDlpV2DeltaPresenceEstimationConfig
δ-presence metric, used to estimate how likely it is for an attacker to figure out that one given individual appears in a de-identified dataset.
-
#k_anonymity_config ⇒ Google::Apis::DlpV2::GooglePrivacyDlpV2KAnonymityConfig
k-anonymity metric, used for analysis of reidentification risk.
-
#k_map_estimation_config ⇒ Google::Apis::DlpV2::GooglePrivacyDlpV2KMapEstimationConfig
Reidentifiability metric.
-
#l_diversity_config ⇒ Google::Apis::DlpV2::GooglePrivacyDlpV2LDiversityConfig
l-diversity metric, used for analysis of reidentification risk.
-
#numerical_stats_config ⇒ Google::Apis::DlpV2::GooglePrivacyDlpV2NumericalStatsConfig
Compute numerical stats over an individual column, including min, max, and quantiles.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GooglePrivacyDlpV2PrivacyMetric
constructor
A new instance of GooglePrivacyDlpV2PrivacyMetric.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GooglePrivacyDlpV2PrivacyMetric
Returns a new instance of GooglePrivacyDlpV2PrivacyMetric.
4680 4681 4682 |
# File 'lib/google/apis/dlp_v2/classes.rb', line 4680 def initialize(**args) update!(**args) end |
Instance Attribute Details
#categorical_stats_config ⇒ Google::Apis::DlpV2::GooglePrivacyDlpV2CategoricalStatsConfig
Compute numerical stats over an individual column, including number of
distinct values and value count distribution.
Corresponds to the JSON property categoricalStatsConfig
4644 4645 4646 |
# File 'lib/google/apis/dlp_v2/classes.rb', line 4644 def categorical_stats_config @categorical_stats_config end |
#delta_presence_estimation_config ⇒ Google::Apis::DlpV2::GooglePrivacyDlpV2DeltaPresenceEstimationConfig
δ-presence metric, used to estimate how likely it is for an attacker to figure
out that one given individual appears in a de-identified dataset. Similarly to
the k-map metric, we cannot compute δ-presence exactly without knowing the
attack dataset, so we use a statistical model instead.
Corresponds to the JSON property deltaPresenceEstimationConfig
4652 4653 4654 |
# File 'lib/google/apis/dlp_v2/classes.rb', line 4652 def delta_presence_estimation_config @delta_presence_estimation_config end |
#k_anonymity_config ⇒ Google::Apis::DlpV2::GooglePrivacyDlpV2KAnonymityConfig
k-anonymity metric, used for analysis of reidentification risk.
Corresponds to the JSON property kAnonymityConfig
4657 4658 4659 |
# File 'lib/google/apis/dlp_v2/classes.rb', line 4657 def k_anonymity_config @k_anonymity_config end |
#k_map_estimation_config ⇒ Google::Apis::DlpV2::GooglePrivacyDlpV2KMapEstimationConfig
Reidentifiability metric. This corresponds to a risk model similar to what is
called "journalist risk" in the literature, except the attack dataset is
statistically modeled instead of being perfectly known. This can be done using
publicly available data (like the US Census), or using a custom statistical
model (indicated as one or several BigQuery tables), or by extrapolating from
the distribution of values in the input dataset.
Corresponds to the JSON property kMapEstimationConfig
4667 4668 4669 |
# File 'lib/google/apis/dlp_v2/classes.rb', line 4667 def k_map_estimation_config @k_map_estimation_config end |
#l_diversity_config ⇒ Google::Apis::DlpV2::GooglePrivacyDlpV2LDiversityConfig
l-diversity metric, used for analysis of reidentification risk.
Corresponds to the JSON property lDiversityConfig
4672 4673 4674 |
# File 'lib/google/apis/dlp_v2/classes.rb', line 4672 def l_diversity_config @l_diversity_config end |
#numerical_stats_config ⇒ Google::Apis::DlpV2::GooglePrivacyDlpV2NumericalStatsConfig
Compute numerical stats over an individual column, including min, max, and
quantiles.
Corresponds to the JSON property numericalStatsConfig
4678 4679 4680 |
# File 'lib/google/apis/dlp_v2/classes.rb', line 4678 def numerical_stats_config @numerical_stats_config end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
4685 4686 4687 4688 4689 4690 4691 4692 |
# File 'lib/google/apis/dlp_v2/classes.rb', line 4685 def update!(**args) @categorical_stats_config = args[:categorical_stats_config] if args.key?(:categorical_stats_config) @delta_presence_estimation_config = args[:delta_presence_estimation_config] if args.key?(:delta_presence_estimation_config) @k_anonymity_config = args[:k_anonymity_config] if args.key?(:k_anonymity_config) @k_map_estimation_config = args[:k_map_estimation_config] if args.key?(:k_map_estimation_config) @l_diversity_config = args[:l_diversity_config] if args.key?(:l_diversity_config) @numerical_stats_config = args[:numerical_stats_config] if args.key?(:numerical_stats_config) end |