Description for Introduction to LLM Vulnerabilities
Identifying Security Vulnerabilities and Attack Vectors in Large Language Models: Acquire the knowledge necessary to recognize prevalent security vulnerabilities and attack vectors that are particular to large language models.
Mitigating Model Replication and Shadowing Attacks: Acquire knowledge of strategies designed to mitigate model replication and shadowing attacks, which pose a threat to the integrity of models.
Preventing Prompt Injection and Insecure Output Handling: Gain knowledge on how to identify and stop prompt injection and insecure output handling flaws in AI systems.
- Implementing Secure Plugin Design and Sensitive Information Redaction: Acquire expertise in the methodologies for developing secure plugins and effectively redacting sensitive information through the utilization of APIs and regular expressions.
Level: Beginner
Certification Degree: yes
Languages the Course is Available: 1
Offered by: On edX provided by AI
Duration: 1�3 hours per week 4 weeks (approximately)
Schedule: Flexible
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