What are some effective AI techniques for data anonymization?
Some effective AI techniques for data anonymization include differential privacy, k-anonymity, and data masking.
Can you explain how differential privacy works?
Differential privacy adds noise to the data to ensure that the output does not reveal too much about any individual.
What are the advantages of using k-anonymity?
K-anonymity helps protect individual identities by ensuring that each record is indistinguishable from at least k-1 other records.
Are there any limitations to these techniques?
Yes, limitations include potential data utility loss and the challenge of balancing privacy with data usability.
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