{"id":339,"date":"2018-08-02T01:00:00","date_gmt":"2018-08-01T17:00:00","guid":{"rendered":"http:\/\/swarma.org\/%swarma-paper%\/"},"modified":"2018-12-05T17:19:17","modified_gmt":"2018-12-05T09:19:17","slug":"%e5%a6%82%e4%bd%95%e5%88%a9%e7%94%a8%e5%b0%8f%e6%95%b0%e6%8d%ae%e8%bf%9b%e8%a1%8c%e9%87%91%e8%9e%8d%e6%ac%ba%e8%af%88-%e5%9b%be%e7%bd%91%e7%bb%9c%e7%9a%84%e5%af%b9%e6%8a%97%e6%a0%b7","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=339","title":{"rendered":"\u5982\u4f55\u5229\u7528\u5c0f\u6570\u636e\u8fdb\u884c\u91d1\u878d\u6b3a\u8bc8\u2014\u2014\u56fe\u7f51\u7edc\u7684\u5bf9\u6297\u6837\u672c"},"content":{"rendered":"
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\"\u96c6\u667a\"<\/p>\n


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\u5bfc\u8bed\uff1a<\/span><\/strong><\/span><\/p>\n

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\u91d1\u878d\u673a\u6784\u5df2\u7ecf\u5f00\u59cb\u7528\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\u6765\u8bc6\u522b\u6b3a\u884c\u4e3a\u4e86\uff0c\u90a3\u6709\u6ca1\u6709\u53ef\u80fd\u901a\u8fc7\u67d0\u4e9b\u624b\u6bb5\uff0c\u6b3a\u9a97\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\u5462\uff1f\u6765\u81ea\u4e54\u6cbb\u4e9a\u7406\u5de5\u5927\u5b66\u3001\u8682\u8681\u91d1\u670d\u548c\u6e05\u534e\u5927\u5b66\u7684\u7814\u7a76\u4eba\u5458\u53d1\u73b0\u4e86\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u65b0\u98ce\u9669\uff1a\u901a\u8fc7\u5236\u9020\u5177\u6709\u6b3a\u9a97\u6027\u7684\u6570\u636e\u7ed3\u6784\uff0c\u53ef\u4ee5\u8bef\u5bfc\u673a\u5668\u5b66\u4e60\u6a21\u578b\u505a\u51fa\u9519\u8bef\u9884\u6d4b\u3002<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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\u7f16\u8bd1\uff1a\u96c6\u667a\u7ffb\u8bd1\u7ec4<\/span><\/p>\n

\u6765\u6e90\uff1awww.cc.gatech.edu<\/span><\/p>\n

\u539f\u9898\uff1aCSE Researchers Assess Adversarial Attacks on Networks<\/span> <\/span><\/span><\/p>\n<\/blockquote>\n<\/section>\n


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\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u4e00\u79cd\u673a\u5668\u5b66\u4e60\uff08ML\uff09\u7684\u5f62\u5f0f\uff0c\u5df2\u88ab\u7528\u4e8e\u591a\u79cd\u65e5\u5e38\u4efb\u52a1\u7684\u51b3\u7b56\u8fc7\u7a0b\u4e2d\uff0c\u5982\u6b3a\u8bc8\u8bc6\u522b\u3001\u5fc3\u810f\u8870\u7aed\u7684\u65e9\u671f\u5f81\u5146\u8bca\u65ad\u4ee5\u53ca\u81ea\u52a8\u9a7e\u9a76\u6c7d\u8f66\u8def\u6807\u8bc6\u522b\u7b49\u3002<\/span><\/span><\/p>\n


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\u7136\u800c\uff0c\u7531\u4e8e\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u672c\u8d28\u4e0a\u7684\u9884\u6d4b\u6027\uff0c\u5176\u5f88\u5bb9\u6613\u906d\u53d7\u5230\u653b\u51fb\u3002\u653b\u51fb\u8005\u53ef\u4ee5\u8f7b\u6613\u901a\u8fc7\u5bf9\u56fe\u7ed3\u6784\uff08\u4e5f\u88ab\u79f0\u4e3a\u7f51\u7edc\uff09\u4e2d\u7684\u6570\u636e\u7ed3\u6784\u8fdb\u884c\u7ec4\u5408\u6765\u6b3a\u9a97\u6a21\u578b\u3002<\/span><\/p>\n


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\u6765\u81ea\u4e54\u6cbb\u4e9a\u7406\u5de5\u5927\u5b66\uff08Georgia Tech\uff09\u3001\u8682\u8681\u91d1\u670d\uff08Ant Financial\uff09\u4ee5\u53ca\u6e05\u534e\u5927\u5b66\u7684\u4e00\u7ec4\u7814\u7a76\u4eba\u5458\u81f4\u529b<\/span>\u7814\u7a76\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5982\u4f55\u514b\u670d\u6613\u88ab\u9ed1\u5ba2\u653b\u51fb\u3002<\/span><\/span><\/p>\n


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\n

\u8bba\u6587\u9898\u76ee\uff1a\u5bf9\u56fe\u7ed3\u6784\u6570\u636e\u7684\u5bf9\u6297\u653b\u51fb  <\/span><\/p>\n

Adversarial Attack on Graph Structured Data<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/arxiv.org\/pdf\/1806.02371.pdf<\/span><\/p>\n<\/blockquote>\n


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\u4ed6\u4eec\u5c06\u6ce8\u610f\u529b\u653e\u5728\u4e86\u56fe\u795e\u7ecf\u7f51\u7edc\uff08GNN\uff09\u6a21\u578b\u4e0a\uff08<\/span>Scarselli et al., 2009\uff09\uff0c\u5176\u5728\u6b3a\u8bc8\u6d3b\u52a8\u4e2d\u627f\u53d7\u7740\u8f83\u5927\u7684\u98ce\u9669\u3002\u8fd9\u662f\u4e00\u7cfb\u5217\u53d7\u76d1\u7763\u6a21\u578b\uff08<\/span>Dai et al., 2016\uff09,\u5176\u7ed3\u679c\u5728\u5f88\u591a\u8f6c\u6362\u4efb\u52a1\uff08<\/span>Kipf & Welling, 2016\uff09\u548c\u5f52\u7eb3\u4efb\u52a1\uff08<\/span>Hamilton et al., 2017\uff09\u4e2d\u90fd\u8fbe\u5230\u4e86\u9886\u5148\u6c34\u5e73\u3002\u901a\u8fc7\u5bf9\u70b9\u5206\u7c7b\u548c\u56fe\u5206\u7c7b\u95ee\u9898\u7684\u5b9e\u9a8c\uff0c\u786e\u5b9e\u8bc1\u660e\u4e86\u8fd9\u4e9b\u6a21\u578b\u6709\u5bf9\u6297\u6027\u6837\u672c\u7684\u5b58\u5728\u3002<\/span><\/span><\/p>\n


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\u6240\u6709\u5bf9\u6297\u95ee\u9898\u7684\u524d\u63d0\u662f\uff1a\u9996\u5148\u901a\u8fc7\u653b\u51fb\u4e86\u89e3\u4e00\u4e2a\u6a21\u578b\u53ef\u88ab\u5982\u4f55\u653b\u51fb\uff0c\u5176\u6b21\u4fee\u6b63\u5728\u6b64\u8fc7\u7a0b\u4e2d\u53d1\u73b0\u7684\u7f3a\u9677\u4ee5\u52a0\u5f3a\u7cfb\u7edf\u3002<\/span><\/p>\n


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\u201c\u672c\u6587\u7814\u7a76\u7684\u662f\u4e00\u4e2a\u5bf9\u6297\u95ee\u9898\uff1a\u5728\u56fe\u4e0a\u7ed9\u51fa\u4e00\u4e2a\u6709\u6548\u7684\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u540e\uff0c\u6211\u4eec\u80fd\u5426\u4ee5\u4e00\u79cd\u4e0d\u53ef\u907f\u514d\u7684\u65b9\u5f0f\u4fee\u6539\u7f51\u7edc\uff0c\u4ece\u800c\u4f7f\u5f97\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u5728\u6b64\u79cd\u60c5\u51b5\u4e0b\u5931\u6548\uff1f\u201d\u4e54\u6cbb\u4e9a\u7406\u5de5\u5927\u5b66<\/span>\u8ba1\u7b97\u673a\u79d1\u5b66\u4e0e\u5de5\u7a0b\u5b66\u9662\u7684\u535a\u58eb\u751fHanjun Dai\u5982\u662f\u8bf4\u5230\u3002<\/span><\/p>\n


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\u5728\u56fe\u7ed3\u6784\u7684\u6df1\u5ea6\u5b66\u4e60\u60c5\u51b5\u4e2d\uff0c\u52a0\u5f3a\u652f\u6491\u4ee5\u62b5\u6297<\/span>\u4efb\u4f55\u6f5c\u5728\u653b\u51fb\u7684\u9700\u6c42\u662f\u81f3\u5173\u91cd\u8981\u7684\uff0c\u56e0\u4e3a\u5176\u5e94\u7528\u666e\u904d\u4e14\u5e7f\u6cdb\u3002<\/span><\/p>\n


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\u201c\u6211\u4eec\u5c55\u73b0\u51fa\u7684\u662f\uff0c\u901a\u8fc7\u5bf9\u4ea4\u6613\u7f51\u7edc\u7684\u4e00\u5c0f\u90e8\u5206\u8fdb\u884c\u6539\u53d8\uff0c\u5c31\u53ef\u4ee5\u6539\u53d8\u673a\u5668\u7684\u884c\u4e3a\uff0c\u201d\u4e54\u6cbb\u4e9a\u7406\u5de5\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u4e0e\u5de5\u7a0b\u5b66\u9662<\/span>\u526f\u6559\u6388\u3001\u673a\u5668\u5b66\u4e60\u4e2d\u5fc3\u526f\u4e3b\u4efbLe Song\u8bf4\u5230\uff0c\u201c\u4f8b\u5982\uff0c\u5c31\u91d1\u878d\u5e94\u7528\u800c\u8a00\uff0c\u6211\u53ef\u4ee5\u5c06\u94b1\u8f6c\u5230\u5176\u4ed6\u5730\u65b9\uff0c\u5c31\u53ef\u4ee5\u6539\u53d8\u673a\u5668\u5b66\u4e60\u6a21\u578b\u4f7f\u5176\u505a\u51fa\u9519\u8bef\u7684\u9884\u6d4b\u3002\u201d\u56fe1\u4e3a\u4e00\u79cd\u56fe\u7ed3\u6784\u68af\u5ea6\u653b\u51fb\u3002<\/span><\/p>\n

\"\u96c6\u667a\"<\/span><\/span><\/p>\n

\u56fe1 <\/span><\/strong>\u56fe\u7ed3\u6784\u68af\u5ea6\u653b\u51fb\u793a\u610f\u56fe<\/span><\/strong><\/span><\/p>\n


<\/p>\n

\u8fd9\u4e00\u767d\u76d2\u653b\u51fb\u53ef\u901a\u8fc7\u6700\u5927\u5316\u68af\u5ea6\u5e45\u503c\u6765\u589e\u52a0\u6216\u5220\u9664\u8fb9\u3002<\/span><\/p>\n


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\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5c24\u5176\u5bb9\u6613\u53d7\u5230\u6b64\u7c7b\u653b\u51fb\u64cd\u7eb5\u7684\u5f71\u54cd\u2014\u2014\u76ee\u524d\u6b63\u5728\u9488\u5bf9\u591a\u79cd\u5e94\u7528\u573a\u666f\uff0c\u5982\u56fe\u50cf\u8bc6\u522b\uff0c<\/span>\u901a\u8fc7\u5404\u79cd\u9886\u57df\u548c\u65b9\u6cd5\u6765\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\uff0c\u5982\u56fe1\u6240\u793a\u3002\u4f46\u6839\u636eDai\u548cSong\u6240\u8bf4\uff0c\u5230\u76ee\u524d\u4e3a\u6b62\uff0c\u5f88\u5c11\u6709\u6ce8\u610f\u529b\u88ab\u653e\u5728\u8fd9\u4e9b\u6a21\u578b\u7684\u53ef\u89e3\u91ca\u6027\u4ee5\u53ca\u6a21\u578b\u7684\u51b3\u7b56\u673a\u5236\u4e0a\uff0c\u8fd9\u4f7f\u5f97\u67d0\u4e9b\u91d1\u878d\u6216\u5b89\u5168\u76f8\u5173\u7684\u5e94\u7528\u7a0b\u5e8f\u5b58\u5728\u7740\u4e00\u5b9a\u98ce\u9669\u3002<\/span><\/span><\/p>\n


<\/p>\n

\"\u96c6\u667a\" \u56fe2 SHIELD\u67b6\u6784\u6982\u89c8<\/span><\/strong><\/p>\n

<\/span><\/p>\n

SHIELD\u5bf9\u6297\u653b\u51fb\u56fe\u7247\uff08\u7ea2\u8272\u56fe\u7247\uff09\u7684\u65b9\u6cd5\u662f\u4f7f\u7528\u968f\u673a\u5c40\u90e8\u91cf\u5316\uff08SLQ\uff09\u5b9e\u65f6\u6d88\u9664\u6270\u52a8\uff0c\u4ee5\u53ca\u4f7f\u7528\u9488\u5bf9\u5bf9\u6297\u6027\u548c\u826f\u6027\u56fe\u7247\u5747\u6709\u9c81\u68d2\u6027\u538b\u7f29\u53d8\u6362\u7684\u63a5\u79cd\u6a21\u578b\u96c6\u5408\u3002<\/span><\/p>\n


<\/p>\n

\u8be5\u65b9\u6cd5\u6d88\u9664\u4e86\u6700\u8fd1\u51fa\u73b0\u768494%\u7684\u9ed1\u76d2\u653b\u51fb\u4ee5\u53ca98%\u7684\u7070\u76d2\u653b\u51fb\uff0c\u4f8b\u5982Carlini-Wagner\u7684L2\u4ee5\u53caDeepFool\u3002Das, N., Shanbhogue, M., Chen, S. T., Hohman, F., Li, S., & Chen, L., et al. (2018). Shield: fast, practical defense and vaccination for deep learning using jpeg compression.<\/span><\/p>\n


<\/p>\n

Dai\u8bf4\u5230\uff0c\u201c\u8fd9\u4e00\u7814\u7a76\u4e0e\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u7684\u9c81\u68d2\u6027\u548c\u53ef\u9760\u6027\u9ad8\u5ea6\u76f8\u5173\uff0c\u6211\u4eec\u662f\u9996\u4e2a\u5728\u7ec4\u5408\u7ed3\u6784\uff08\u5982\u7f51\u7edc\uff09\u4e0a\u7814\u7a76\u8fd9\u4e00\u95ee\u9898\u7684\u56e2\u961f\u3002\u201d<\/span><\/p>\n


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\u201c\u6211\u8ba4\u4e3a\u7f51\u7edc\u8868\u8fbe\u4e86\u4e30\u5bcc\u7684\u5173\u4e8e\u4e16\u754c\u7684\u7ec4\u5408\u77e5\u8bc6\u4fe1\u606f\uff0c\u201dDai\u8bf4\u5230\uff0c\u201c\u4f8b\u5982\uff0c\u793e\u4ea4\u7f51\u7edc\u8868\u8fbe\u4e86\u6709\u5173\u7528\u6237\u5173\u7cfb\u7684\u77e5\u8bc6\uff1b\u77e5\u8bc6\u7f51\u7edc\u63cf\u8ff0\u4e86\u5b9e\u4f53\u95f4\u7684\u903b\u8f91\u6982\u5ff5\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u6df1\u5ea6\u5b66\u4e60\u4ee5\u4e00\u79cd\u8fde\u7eed\u4f46\u4e0d\u900f\u660e\u7684\u65b9\u5f0f\u5b66\u4e60\u77e5\u8bc6\u3002\u5982\u4f55\u5c06\u6e05\u6670\u7684\u786c\u6027\u89c4\u5219\u548c\u6df1\u5ea6\u5b66\u4e60\u7684\u9ed1\u76d2\u7ed3\u5408\u8d77\u6765\u662f\u8fd9\u4e2a\u7814\u7a76\u65b9\u5411\u7684\u672a\u6765\u3002\u201d<\/span><\/p>\n


<\/p>\n

\u5728ICML2018\u4f1a\u8bae\u4e0a\uff0cDai\u548cSong\u5c06\u4f1a\u5bf9\u8fd9\u7bc7\u8bba\u6587\u4ee5\u53ca\u5176\u56e2\u961f\u7684\u53e6\u59165\u7bc7\u8bba\u6587\u8fdb\u884c\u5c55\u793a\u3002<\/span><\/p>\n


<\/p>\n

\u5b66\u4e60\u89e3\u91ca\uff1a\u5173\u4e8e\u6a21\u578b\u89e3\u91ca\u7684\u4fe1\u606f\u7406\u8bba\u89c6\u89d2<\/span><\/strong><\/span><\/p>\n

Learning to Explain: An Information-Theoretic Perspective on Model Interpretation<\/strong><\/span><\/p>\n

Jianbo Chen (University of California, Berkeley) \u00b7 Le Song (Georgia Institute of Technology) \u00b7 Martin Wainwright (University of California at Berkeley) \u00b7 Michael Jordan (UC Berkeley)<\/span><\/p>\n


<\/span><\/p>\n

\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/1802.07814<\/span><\/p>\n<\/blockquote>\n


<\/span><\/p>\n


<\/p>\n

\u5bf9\u56fe\u7ed3\u6784\u6570\u636e\u7684\u5bf9\u6297\u653b\u51fb<\/span><\/strong><\/span><\/p>\n

Adversarial Attack on Graph Structured Data<\/strong><\/span><\/p>\n

Hanjun Dai (Georgia Tech) \u00b7 Hui Li (Ant Financial Services Group) \u00b7 Tian Tian () \u00b7 Xin Huang (Ant Financial) \u00b7 Lin Wang () \u00b7 Jun Zhu (Tsinghua University) \u00b7 Le Song (Georgia Institute of Technology)<\/span><\/p>\n


<\/span><\/p>\n

\n

<\/span>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/1806.02371<\/span><\/span><\/p>\n<\/blockquote>\n


<\/p>\n

\u9488\u5bf9\u9ed1\u76d2\u8fed\u4ee3\u673a\u5668\u6559\u5b66<\/span><\/strong><\/span><\/p>\n

Towards Black-box Iterative Machine Teaching<\/strong><\/span><\/p>\n

Weiyang Liu (Georgia Tech) \u00b7 Bo Dai (Georgia Institute of Technology) \u00b7 Xingguo Li (University of Minnesota) \u00b7 Zhen Liu (Georgia Tech) \u00b7 James Rehg (Georgia Tech) \u00b7 Le Song (Georgia Institute of Technology)<\/span><\/p>\n


<\/span><\/p>\n

\n

<\/span>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/1710.07742<\/span><\/span><\/p>\n<\/blockquote>\n


<\/p>\n

\u5728\u56fe\u4e2d\u5b66\u4e60\u8fed\u4ee3\u7b97\u6cd5\u7684\u7a33\u5b9a\u72b6\u6001<\/span><\/strong><\/span><\/p>\n

Learning Steady-States of Iterative Algorithms over Graphs<\/strong><\/span><\/p>\n

Hanjun Dai (Georgia Tech) \u00b7 Zornitsa Kozareva (Amazon) \u00b7 Bo Dai (Georgia Institute of Technology) \u00b7 Alex Smola (Amazon) \u00b7 Le Song (Georgia Institute of Technology)<\/span><\/p>\n


<\/span><\/p>\n

\n

<\/span>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/1704.01665<\/span><\/span><\/p>\n<\/blockquote>\n


<\/p>\n

\u56fe\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u968f\u673a\u8bad\u7ec3<\/span><\/strong><\/span><\/p>\n

Stochastic Training of Graph Convolutional Networks<\/strong><\/span><\/p>\n

Jianfei Chen (Tsinghua University) \u00b7 Jun Zhu (Tsinghua University) \u00b7 Le Song (Georgia Institute of Technology)<\/span><\/p>\n


<\/span><\/p>\n

\n

<\/span>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/1710.10568<\/span><\/span><\/p>\n<\/blockquote>\n


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SBEED: \u7528\u975e\u7ebf\u6027\u51fd\u6570\u903c\u8fd1\u7684\u6536\u655b\u5f3a\u5316\u5b66\u4e60<\/span><\/strong><\/span><\/p>\n

SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation<\/strong><\/span><\/p>\n

Bo Dai (Georgia Institute of Technology) \u00b7 Albert Shaw (Georgia Tech) \u00b7 Lihong Li (Google Inc.) \u00b7 Lin Xiao (Microsoft Research) \u00b7 Niao He (UIUC) \u00b7 Zhen Liu (Georgia Tech) \u00b7 Jianshu Chen (Microsoft Research) \u00b7 Le Song (Georgia Institute of Technology)<\/span><\/p>\n


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<\/span>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/1712.10285<\/span><\/span><\/p>\n<\/blockquote>\n


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\u7ffb\u8bd1\uff1a\u975e\u7ebf\u6027 <\/span><\/p>\n

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\u7f16\u8f91\uff1a\u5b5f\u5a55<\/span><\/p>\n

\u539f\u6587\u5730\u5740\uff1a<\/span><\/p>\n

https:\/\/www.cc.gatech.edu\/news\/607546\/cse-researchers-assess-adversarial-attacks-networks<\/span><\/p>\n<\/blockquote>\n


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\u56fe\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08GCN\uff09\u6709\u591a\u5f3a\u5927\uff1f<\/a>
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\u56fe\u7f51\u7edc\u2014\u2014\u6084\u7136\u5174\u8d77\u7684\u6df1\u5ea6\u5b66\u4e60\u65b0\u6d6a\u6f6e <\/a><\/span><\/strong><\/p>\n

\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/a>
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\u96c6\u667aQQ\u7fa4\uff5c292641157<\/span><\/strong><\/p>\n

\u5546\u52a1\u5408\u4f5c\u53ca\u6295\u7a3f\u8f6c\u8f7d\uff5cswarma@swarma.org
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\u25c6 <\/span>\u25c6 <\/span>\u25c6<\/span><\/span><\/strong><\/strong><\/h1>\n<\/section>\n

\u641c\u7d22\u516c\u4f17\u53f7\uff1a\u96c6\u667a\u4ff1\u4e50\u90e8<\/span><\/strong><\/span><\/p>\n


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\u52a0\u5165\u201c\u6ca1\u6709\u56f4\u5899\u7684\u7814\u7a76\u6240\u201d<\/span><\/strong><\/span><\/p>\n

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\"\u96c6\u667a\"<\/p>\n<\/section>\n

\u8ba9\u82f9\u679c\u7838\u5f97\u66f4\u731b\u70c8\u4e9b\u5427\uff01<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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\u59cb\u53d1\u4e8e\u5fae\u4fe1\u516c\u4f17\u53f7\uff1a \u96c6\u667a\u4ff1\u4e50\u90e8 <\/p>\n<\/blockquote>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

\u5bfc\u8bed\uff1a \u91d1\u878d\u673a\u6784\u5df2\u7ecf\u5f00\u59cb\u7528\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\u6765\u8bc6\u522b\u6b3a\u884c\u4e3a\u4e86\uff0c\u90a3\u6709\u6ca1\u6709\u53ef\u80fd\u901a\u8fc7\u67d0\u4e9b\u624b\u6bb5\uff0c\u6b3a\u9a97\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\u5462\uff1f\u6765\u81ea\u4e54\u6cbb\u4e9a\u7406\u5de5\u5927\u5b66\u3001\u8682\u8681\u91d1\u670d\u548c\u6e05\u534e\u5927\u5b66\u7684\u7814\u7a76\u4eba\u5458\u53d1\u73b0\u4e86\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u65b0\u98ce\u9669\uff1a\u901a\u8fc7\u5236\u9020\u5177\u6709\u6b3a\u9a97\u6027\u7684\u6570\u636e\u7ed3\u6784\uff0c\u53ef\u4ee5\u8bef\u5bfc\u673a\u5668\u5b66\u4e60\u6a21\u578b\u505a\u51fa\u9519\u8bef\u9884\u6d4b\u3002 \u7f16\u8bd1\uff1a\u96c6\u667a\u7ffb\u8bd1\u7ec4 \u6765\u6e90\uff1awww.cc.gatech.edu…<\/p>\n","protected":false},"author":1,"featured_media":340,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[19],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/339"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=339"}],"version-history":[{"count":1,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/339\/revisions"}],"predecessor-version":[{"id":351,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/339\/revisions\/351"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/340"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=339"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=339"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=339"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=339"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}