PETs
PETs play a crucial role in the privacy and governance of ML models. With the increasing use of ML in various sectors, there is a growing concern about the protection of sensitive and personal data. PETs help address these concerns by enabling the development and use of ML models while minimizing privacy risks. Some key reasons for the importance of PETs in the privacy and governance of ML models are as follows:
- Data protection: PETs help protect sensitive data from unauthorized access, disclosure, or misuse. Techniques such as differential privacy, homomorphic encryption, and secure multiparty computation enable the development of ML models without revealing individual data points or compromising privacy.
- Compliance with regulations: Privacy regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) mandate the protection of personal data. PETs can help organizations comply with these regulations and avoid legal...
