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<li class="toctree-l1"><a class="reference internal" href="source/chap1.html">1. 人工智能与安全概述</a></li>
<li class="toctree-l1"><a class="reference internal" href="source/chap2.html">2. 机器学习基础</a></li>
<li class="toctree-l1"><a class="reference internal" href="source/chap3.html">3. 人工智能安全基础</a></li>
<li class="toctree-l1"><a class="reference internal" href="source/chap4.html">4. 数据安全：攻击</a></li>
<li class="toctree-l1"><a class="reference internal" href="source/chap5.html">5. 数据安全：防御</a></li>
<li class="toctree-l1"><a class="reference internal" href="source/chap6.html">6. 模型安全：对抗攻击</a></li>
<li class="toctree-l1"><a class="reference internal" href="source/chap7.html">7. 模型安全：对抗防御</a></li>
<li class="toctree-l1"><a class="reference internal" href="source/chap8.html">8. 模型安全：后门攻击</a></li>
<li class="toctree-l1"><a class="reference internal" href="source/chap9.html">9. 模型安全：后门防御</a></li>
<li class="toctree-l1"><a class="reference internal" href="source/chap10.html">10. 模型安全：窃取攻防</a></li>
<li class="toctree-l1"><a class="reference internal" href="source/chap11.html">11. 未来展望</a></li>
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<li class="toctree-l1"><a class="reference internal" href="source/%E5%89%8D%E8%A8%80.html">前言</a></li>
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<li class="toctree-l1"><a class="reference internal" href="source/chap1.html">1. 人工智能与安全概述</a></li>
<li class="toctree-l1"><a class="reference internal" href="source/chap2.html">2. 机器学习基础</a></li>
<li class="toctree-l1"><a class="reference internal" href="source/chap3.html">3. 人工智能安全基础</a></li>
<li class="toctree-l1"><a class="reference internal" href="source/chap4.html">4. 数据安全：攻击</a></li>
<li class="toctree-l1"><a class="reference internal" href="source/chap5.html">5. 数据安全：防御</a></li>
<li class="toctree-l1"><a class="reference internal" href="source/chap6.html">6. 模型安全：对抗攻击</a></li>
<li class="toctree-l1"><a class="reference internal" href="source/chap7.html">7. 模型安全：对抗防御</a></li>
<li class="toctree-l1"><a class="reference internal" href="source/chap8.html">8. 模型安全：后门攻击</a></li>
<li class="toctree-l1"><a class="reference internal" href="source/chap9.html">9. 模型安全：后门防御</a></li>
<li class="toctree-l1"><a class="reference internal" href="source/chap10.html">10. 模型安全：窃取攻防</a></li>
<li class="toctree-l1"><a class="reference internal" href="source/chap11.html">11. 未来展望</a></li>
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<h2 class="mdl-color-text--primary">《人工智能：数据与模型安全》</h2>
<p class="version">第一版</p>
<p>围绕人工智能的两大核心要素——数据和模型</p>
<p>对人工智能安全问题和攻防算法进行全面深入的介绍和探讨</p>
<p>第一版纸质书已在
<a href="https://item.jd.com/14024243.html">京东</a>
上架
</p>
<p><a class="github-button" href="https://github.com/ai-data-model-safety/ai-data-model-safety.github.io"
data-icon="octicon-star" data-size="large" data-show-count="true"
aria-label="Star ai-data-model-safety on GitHub">Star</a></p>
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<img src="_static/myfrontpage/_images/yugangjiang.jpg" />
<h3><a href="https://cs.fudan.edu.cn/3f/c5/c25893a278469/page.htm">姜育刚</a></h3>
<p>复旦大学</p>
</div>
</div>
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<img src="_static/myfrontpage/_images/xingjunma.jpg" />
<h3><a href="http://xingjunma.com/">马兴军</a></h3>
<p>复旦大学</p>
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<h3><a href="https://zxwu.azurewebsites.net/">吴祖煊</a></h3>
<p>复旦大学</p>
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<h2>致谢</h2>
<h4>特别感谢邬江兴院士给本书作序，特别感谢张钹院士和周志华教授对本书的推荐。</h4>
<br><p>感谢实验室同学对本书做出的贡献：陈绍祥、宋雪、王铮、傅宇倩、魏志鹏、陈凯、赵世豪、吕熠强、訾柏嘉、钱天文、张星、常明昊、翁泽佳、王君可、翟坤、王欣、阮子禅、张超、林朝坤等。</p>
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<h2>配套课件</h2>
<p>如需配套课件，请直接联系<a class="reference external" href="mailto:xingjunma@fudan.edu.cn">我们</a></p>
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<td>
<p>1</p>
</td>
<td>
<p>课程介绍&机器学习基础</p>
</td>
<td>
<p>第1周：课程介绍&机器学习基础.pptx</p>
</td>
</tr>
<tr class="row-odd">
<td>
<p>2</p>
</td>
<td>
<p>可解释性和普通鲁棒性</p>
</td>
<td>
<p>第2周：可解释性和普通鲁棒性.pptx</p>
</td>
</tr>
<tr class="row-even">
<td>
<p>3</p>
</td>
<td>
<p>对抗样本</p>
</td>
<td>
<p>第3周：对抗样本.pptx</p>
</td>
</tr>
<tr class="row-odd">
<td>
<p>4</p>
</td>
<td>
<p>对抗样本检测</p>
</td>
<td>
<p>第4周：对抗样本检测.pptx</p>
</td>
</tr>
<tr class="row-even">
<td>
<p>5</p>
</td>
<td>
<p>对抗防御</p>
</td>
<td>
<p>第5周：对抗防御.pptx</p>
</td>
</tr>
<tr class="row-odd">
<td>
<p>6</p>
</td>
<td>
<p>数据投毒和防御</p>
</td>
<td>
<p>第6周：数据投毒和防御.pptx</p>
</td>
</tr>
<tr class="row-even">
<td>
<p>7</p>
</td>
<td>
<p>后门攻击和防御</p>
</td>
<td>
<p>第7周：后门攻击和防御.pptx</p>
</td>
</tr>
<tr class="row-odd">
<td>
<p>8</p>
</td>
<td>
<p>数据抽取和模型窃取</p>
</td>
<td>
<p>第8周：数据抽取和模型窃取.pptx</p>
</td>
</tr>
<tr class="row-even">
<td>
<p>9</p>
</td>
<td>
<p>隐私攻击和防御</p>
</td>
<td>
<p>第9周：隐私攻击和防御.pptx</p>
</td>
</tr>
<tr class="row-odd">
<td>
<p>10</p>
</td>
<td>
<p>深度伪造与检测</p>
</td>
<td>
<p>第10周：深度伪造与检测.pptx</p>
</td>
</tr>
<tr class="row-even">
<td>
<p>11</p>
</td>
<td>
<p>联邦学习</p>
</td>
<td>
<p>第11周：联邦学习.pptx</p>
</td>
</tr>
<tr class="row-odd">
<td>
<p>12</p>
</td>
<td>
<p>AI模型版权保护</p>
</td>
<td>
<p>第12周：AI模型版权保护.pptx</p>
</td>
</tr>
<tr class="row-even">
<td>
<p>13</p>
</td>
<td>
<p>AI公平性与伦理</p>
</td>
<td>
<p>第13周：AI公平性与伦理.pptx</p>
</td>
</tr>
</tbody>
</table>
</div>
</div>
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