Скачать или смотреть 𝐀𝐈 𝐏𝐄𝐍𝐓𝐄𝐒𝐓𝐈𝐍𝐆 - “𝐒𝐇𝐀𝐏 𝐂𝐚𝐧 𝐁𝐞 𝐓𝐫𝐢𝐜𝐤𝐞𝐝! ⚠️ 𝐓𝐡𝐞 𝐎𝐮𝐭𝐩𝐮𝐭 𝐒𝐡𝐮𝐟𝐟𝐥𝐢𝐧𝐠 𝐀𝐭𝐭𝐚𝐜𝐤 𝐄𝐗𝐏𝐎𝐒𝐄𝐃”

In this video, we expose a hidden threat: the Output Shuffling Attack — a sneaky way to trick model explanation tools like SHAP, even when the model’s prediction seems correct.

𝕎𝕙𝕒𝕥 𝕐𝕠𝕦’𝕝𝕝 𝕃𝕖𝕒𝕣𝕟:
✅ How attackers shuffle class probabilities to fool SHAP
✅ Real example using Random Forest Classifier
✅ Why your model’s explanations might be wrong
✅ Simple steps to defend your AI models

𝕋𝕙𝕚𝕤 𝔸𝕗𝕗𝕖𝕔𝕥𝕤:
– AI/ML Engineers
– Data Science Teams
– Cybersecurity Analysts
– Companies using model interpretation (SHAP, LIME, etc.)

Want to protect your AI models from these silent threats?

👉 We offer expert security testing for machine learning models.
📩 Contact 𝐌𝐈𝐂𝐇 𝐉𝐎𝐒𝐇 𝐂𝐘𝐁𝐄𝐑𝐒𝐄𝐂𝐔𝐑𝐈𝐓𝐘 to secure your AI pipeline.
+91 9074643507
[email protected]
www.michjosh.com

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