LLM Hacking 101: Understanding and Preventing Attacks #Cybersecurity

The article discusses three common hacking techniques used to exploit language models (LMs): Jailbreak Attacks, Prompt Injection, and Data Poisoning. Jailbreaking a model involves convincing it to ignore controls and safeguards, either through human-written prompts or automated scripts. Prompt injection involves manipulating prompts to extract sensitive information or weaken the model’s performance. Data poisoning and backdoor attacks involve altering training data to introduce vulnerabilities. Understanding these techniques is crucial for developers and users of LMs to defend against potential threats. Mitigation strategies include implementing robust security measures, monitoring input data, and regularly updating security protocols. The ongoing interplay between attackers and defenders in LM security highlights the importance of staying updated on developments in this field.

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Source link: https://rahuloraj.medium.com/hacking-llms-101-attacks-on-llms-186e3ebff0cb?source=rss——large_language_models-5