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SecureLearn - an Attack-Agnostic Defense for Multiclass Machine Learning against Data Poisoning Attacks

🗓️ 25 Oct 2025 00:00:00Reported by Anum Paracha, Mohamed Ben Farah, Khalid Ismail, Junaid ArshadType 
packetstormnews
 packetstormnews
🔗 packetstorm.news👁 8 Views

SecureLearn is a two-layer, attack-agnostic defense for multiclass ML against data poisoning via data sanitization and feature-oriented training.

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