https://terms-en.ai-term-hub.com/zh/tags/vulnerability/Recent content in Vulnerability on 中文AI术语词典Hugozh-cnSat, 18 Jul 2026 11:44:45 +0000https://terms-en.ai-term-hub.com/zh/terms/adversarial_attack/Sat, 18 Jul 2026 11:04:26 +0000https://terms-en.ai-term-hub.com/zh/terms/adversarial_attack/<h2 id="definition">Definition</h2> <p>对抗攻击通过向图像或文本等输入引入细微噪声，利用神经网络的漏洞，导致模型输出出现显著错误。这些攻击突显了模型在面临恶意输入时的脆弱性。</p> <h3 id="summary">Summary</h3> <p>对抗攻击是一种技术，通过在输入数据中添加微小且通常不可察觉的扰动，欺骗机器学习模型做出错误的预测。</p> <h2 id="key-concepts">Key Concepts</h2> <ul> <li>扰动</li> <li>模型鲁棒性</li> <li>白盒与黑盒</li> <li>逃避攻击</li> </ul> <h2 id="use-cases">Use Cases</h2> <ul> <li>测试模型安全性</li> <li>生成用于训练的对抗样本</li> <li>分析计算机视觉系统中的漏洞</li> </ul> <h2 id="related-terms">Related Terms</h2> <ul> <li><a href="https://terms-en.ai-term-hub.com/en/terms/adversarial_machine_learning-%E5%AF%B9%E6%8A%97%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/">adversarial_machine_learning (对抗机器学习)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/model_robustness-%E6%A8%A1%E5%9E%8B%E9%B2%81%E6%A3%92%E6%80%A7/">model_robustness (模型鲁棒性)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/defense_mechanisms-%E9%98%B2%E5%BE%A1%E6%9C%BA%E5%88%B6/">defense_mechanisms (防御机制)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/gradient_based_attacks-%E5%9F%BA%E4%BA%8E%E6%A2%AF%E5%BA%A6%E7%9A%84%E6%94%BB%E5%87%BB/">gradient_based_attacks (基于梯度的攻击)</a></li> </ul>