Securing AI Models Against Adversarial Attacks in Financial Applications
人工智能在各行业的广泛应用带来了显著效益,但也增加了网络威胁风险,尤其是对抗性攻击如数据中毒和样本操作导致错误结果。金融等领域受影响严重。防御措施包括加强训练和输入验证。忽视风险可能导致数据泄露和信任损失。
The rapid adoption of artificial intelligence (AI) agents across industries has brought significant benefits but also increased exposure to cyber threats, particularly adversarial attacks. According to the Deloitte Threat Report, nearly 30% of all AI cyberattacks now involve adversarial techniques such as training data poisoning, model theft, and adversarial sample manipulation, which can cause AI […]
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