Final answer:
Randomized response in local differential privacy gives users plausible deniability by allowing them to respond to queries with privacy-protecting noise, without offering global privacy, k-anonymity, or fairness guarantees.
Step-by-step explanation:
Randomized response in local differential privacy provides users with plausible deniability. This approach allows individuals to respond to sensitive queries in a way that their privacy is protected, even if the responses are subsequently analyzed. Basically, it adds noise to the individual's response, ensuring the privacy of their actual answer while still allowing researchers to gather meaningful aggregate data. This method does not directly provide global privacy, k-anonymity, or fairness guarantees. Instead, it ensures that any single response could reasonably have been generated by someone with any possible true value, thus protecting the individual's privacy.