changed typos in introdution.

privacy_security.qmd

@@ -59,9 +59,9 @@ These events highlighted the growing need to address privacy in ML
 systems. In this chapter, we explore privacy and security considerations
 together, as they are inherently linked in ML:
 
--   Privacy refers to controlling access to sensitive user data, such asfinancial information or biometric data collected by an MLapplication.
+-   Privacy refers to controlling access to sensitive user data, such as financial information or biometric data collected by an ML application.
 
--   Security protects ML systems and data from hacking, theft, andmisuse.
+-   Security protects ML systems and data from hacking, theft, and misuse.
 
 For example, an ML-powered home security camera must secure video feeds
 against unauthorized access. It also needs privacy protections to ensure
@@ -88,13 +88,13 @@ and safeguards.
 In this chapter, we will be talking about security and privacy together,
 so there are key terms that we need to be clear about.
 
--   **Privacy:** For instance, when a fitness tracker collects dataabout your daily activities, privacy concerns revolve around whoelse can access this data---whether it's just the company, theuser, or unwanted third parties as well.
+-   **Privacy:** For instance, when a fitness tracker collects data about your daily activities, privacy concerns revolve around who else can access this data---whether it's just the company, the user, or unwanted third parties as well.
 
--   **Security:** Consider an ML-powered home security camera thatidentifies and records potential threats. The security aspectwould involve ensuring that these video feeds and recognitionmodels aren't accessible to hackers.
+-   **Security:** Consider an ML-powered home security camera that identifies and records potential threats. The security aspect would involve ensuring that these video feeds and recognition models aren't accessible to hackers.
 
--   **Threat:** Using our home security camera example, a threat couldbe a hacker trying to gain access to live feeds or stored videos,or using false inputs to trick the system.
+-   **Threat:** Using our home security camera example, a threat could be a hacker trying to gain access to live feeds or stored videos, or using false inputs to trick the system.
 
--   **Vulnerability:** A common vulnerability might be a poorly securednetwork through which the camera connects to the internet, whichcould be exploited to access the data.
+-   **Vulnerability:** A common vulnerability might be a poorly secured network through which the camera connects to the internet, which could be exploited to access the data.
 
 ## Historical Precedents