LLM vulnerabilities – identifying and mitigating risks
The deployment and usage of LLMs bring forward significant challenges and considerations in the domains of security, ethics, law, and regulation. LLM vulnerabilities need to be thoroughly identified and mitigated to protect these systems from potential abuses or malfunctions, which can stem from adversarial attacks or unintended model behaviors. Developers must implement robust security protocols and continually monitor for vulnerabilities that could compromise the integrity or performance of LLMs.
LLMs are susceptible to a range of vulnerabilities that can impact their integrity, performance, and reliability. Here are some detailed considerations.
Identification of security risks
The identification of security risks in LLMs is a critical step in safeguarding their integrity and ensuring they function as intended. Let’s take a closer look at the process and why it’s important:
- Adversarial attacks...
