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.
5549 5550 5551 |
# File 'lib/google/apis/dlp_v2/classes.rb', line 5549 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
5513 5514 5515 |
# File 'lib/google/apis/dlp_v2/classes.rb', line 5513 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
5521 5522 5523 |
# File 'lib/google/apis/dlp_v2/classes.rb', line 5521 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
5526 5527 5528 |
# File 'lib/google/apis/dlp_v2/classes.rb', line 5526 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
5536 5537 5538 |
# File 'lib/google/apis/dlp_v2/classes.rb', line 5536 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
5541 5542 5543 |
# File 'lib/google/apis/dlp_v2/classes.rb', line 5541 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
5547 5548 5549 |
# File 'lib/google/apis/dlp_v2/classes.rb', line 5547 def numerical_stats_config @numerical_stats_config end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
5554 5555 5556 5557 5558 5559 5560 5561 |
# File 'lib/google/apis/dlp_v2/classes.rb', line 5554 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 |