[Verse 1] Your model's trained and running fine But hackers lurk with dark design They craft their pixels, change a few To fool your vision, break right through FGSM and PGD attacks C and W upon your backs Adversarial examples hide In plain sight they'll make you slide [Chorus] Security first, robustness now Evasion, poisoning, we'll show you how Extraction threats and prompt injection Build your defenses, AI protection Guard your models, secure the chain From training loss to deployment gain Security first, robustness now AI safety, that's our vow [Verse 2] They poison wells before you drink Corrupt your training, make you think That backdoor triggers are the norm While data manipulation storms Model stealing, inversion too They'll extract what belongs to you Supply chain attacks through the night Malicious weights that aren't quite right [Chorus] Security first, robustness now Evasion, poisoning, we'll show you how Extraction threats and prompt injection Build your defenses, AI protection Guard your models, secure the chain From training loss to deployment gain Security first, robustness now AI safety, that's our vow [Bridge] LLM jailbreaking, direct and indirect Prompt injection they'll perfect OWASP Top Ten guides your way MITRE ATLAS maps the fray NIST framework keeps you secure Adversarial training makes models pure [Verse 3] Input sanitization clean Output filtering keeps you lean Guardrails up and sandboxing tight Your defenses burning bright Test your classifier, run the lab See how adversaries grab Execute attacks, then defend Make your AI security blend [Chorus] Security first, robustness now Evasion, poisoning, we'll show you how Extraction threats and prompt injection Build your defenses, AI protection Guard your models, secure the chain From training loss to deployment gain Security first, robustness now AI safety, that's our vow [Outro] From threat models to defense AI security makes perfect sense Robust and ready, standing tall Your models safe from every fall
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