AIã®èªè˜ã‚’ã ã¾ã›ã‚‹ã€Žæ•µå¯¾çš„機械å¦ç¿’ã€ã®è©±ãŒã‚‚ã†SFã®ä¸–界「人間ã«ã¯åŒã˜ç”»åƒã«è¦‹ãˆã‚‹ã®ã«ã€ã‚¦ãƒãƒ¥ãƒ¼ã˜ã‚“・ã•ã•ã @uchujin17 攻撃的機械å¦ç¿’ Adversarial Machine Learning (AML)ãªã‚“ã¦ç”¨èªžãŒå‡ºæ¥ã¦ã„ãŸã®ã‹ã€‚ãã—ã¦AMLã«å¯¾æŠ—ã™ã¹ãCounter-AML AIãŒå°Žå…¥ã•ã‚Œã¦ã„ã‚‹ã¨ã„ã†ã€‚「敵ã¯æµ·è³Šã€ã®ä¸–ç•Œã¯ã‚‚ã†ç¾å®Ÿã«ãªã£ã¦ã„ãŸã‚“ã ãªã€‚ リンク Wikipedia Adversarial machine learning Adversarial machine learning is a machine learning technique that attempts to fool models by supplying deceptive input. The most common reason is to cause a malfunction in a machine learning model. Most machine learn
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