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\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:\u666e\u6797\u65af\u987f\u738b\u68a6\u8fea\u56e2\u961f\u63d0\u51fa\u86cb\u767d\u6c34\u5370\u65b9\u6cd5\uff0c\u52a9\u529bAI\u86cb\u767d\u751f\u6210\u7684\u7248\u6743\u4fdd\u62a4\u4e0e\u5b89\u5168<\/a><\/p>\n

<\/a><\/p>\n

\u7f16\u8f91\u00a0| \u841d\u535c\u76ae<\/p>\n

\u8fd1\u5e74\u6765\uff0c\u968f\u7740\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd<\/mark>\u7684\u53d1\u5c55\uff0c\u86cb\u767d\u8d28\u7ed3\u6784\u9884\u6d4b\u548c\u8bbe\u8ba1\u7684\u80fd\u529b\u663e\u8457\u63d0\u9ad8\u3002\u7136\u800c\uff0c\u86cb\u767d\u8d28\u751f\u6210\u6a21\u578b<\/mark>\u5728\u7248\u6743\u4fdd\u62a4\u548c\u751f\u6210\u6709\u5bb3\u5185\u5bb9\uff08\u4f8b\u5982\u751f\u7269\u5b89\u5168\uff09\u65b9\u9762\u9762\u4e34\u7740\u8bf8\u591a\u95ee\u9898\u3002<\/p>\n

\u751f\u7269\u5927\u6a21\u578b\u7684\u6784\u5efa\u548c\u8bad\u7ec3\u5341\u5206\u6602\u8d35\uff0c\u6709\u7740\u4fdd\u62a4\u6a21\u578b\u7248\u6743\u548c\u751f\u6210\u7ed3\u679c\u7684\u73b0\u5b9e\u9700\u8981\uff1b\u540c\u65f6\uff0c\u9700\u8981\u6709\u6280\u672f\u53ef\u9760\u5730\u8ffd\u8e2a\u548c\u9a8c\u8bc1\u751f\u6210\u86cb\u767d\u8d28\u7ed3\u6784\uff0c\u6d88\u9664\u6f5c\u5728\u7684\u751f\u7269\u5b89\u5168\u9690\u60a3\u3002<\/p>\n

\u666e\u6797\u65af\u987f\u5927\u5b66\u738b\u68a6\u8fea\u56e2\u961f\u63d0\u51fa\u4e86\u4e00\u79cd\u540d\u4e3a FoldMark \u7684\u6c34\u5370\u65b9\u6cd5\uff0c\u65e8\u5728\u5d4c\u5165\u6c34\u5370\u4fe1\u606f\u4ee5\u8fdb\u884c\u7248\u6743\u9a8c\u8bc1\u548c\u751f\u6210\u7ed3\u6784\u7684\u8ffd\u8e2a\u3002<\/p>\n

FoldMark \u901a\u8fc7\u4e24\u4e2a\u9636\u6bb5\u5d4c\u5165\u6c34\u5370\uff1a\u9996\u5148\u9884\u8bad\u7ec3\u6c34\u5370\u7f16\u7801\u5668\u548c\u89e3\u7801\u5668\uff0c\u7136\u540e\u901a\u8fc7\u5fae\u8c03\u751f\u6210\u6a21\u578b<\/mark>\uff0c\u4f7f\u5176\u65e2\u80fd\u751f\u6210\u9ad8\u8d28\u91cf\u7684\u86cb\u767d\u8d28\u7ed3\u6784\uff0c\u53c8\u80fd\u5d4c\u5165\u6c34\u5370\u4fe1\u606f\u3002<\/p>\n

\u8be5\u7814\u7a76\u4ee5\u300cFoldMark: Protecting Protein Generative Models with Watermarking<\/em>\u300d\u4e3a\u9898\uff0c\u4e8e 2024 \u5e74 10 \u6708 28 \u65e5\u53d1\u5e03\u5728 bioRxiv<\/em> \u9884\u5370\u5e73\u53f0\u3002<\/p>\n

<\/a><\/p>\n

\u8bba\u6587\u94fe\u63a5: https:\/\/www.biorxiv.org\/content\/10.1101\/2024.10.23.619960v1<\/em><\/p>\n

\u968f\u7740\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd<\/mark>\u548c\u751f\u7269\u6280\u672f\u7684\u8fdb\u6b65\uff0c\u86cb\u767d\u8d28\u751f\u6210\u548c\u7ed3\u6784\u9884\u6d4b\u6a21\u578b\u5982 AlphaFold<\/mark> \u548c RFDiffusion \u7b49\u53d6\u5f97\u4e86\u663e\u8457\u8fdb\u5c55\uff0c\u63a8\u52a8\u4e86 de novo \u86cb\u767d\u8d28\u8bbe\u8ba1\u7684\u9769\u547d\u3002<\/p>\n

\u7136\u800c\uff0c\u8fd9\u4e9b\u6280\u672f\u7684\u53d1\u5c55\u4e5f\u5e26\u6765\u4e86\u7248\u6743\u548c\u751f\u7269\u5b89\u5168\u7684\u62c5\u5fe7\uff0c\u7279\u522b\u662f\u5728\u6a21\u578b\u5171\u4eab\u548c\u751f\u6210\u7ed3\u6784\u7684\u6ee5\u7528\u65b9\u9762\u3002\u56e0\u6b64\uff0c\u4e9f\u9700\u6709\u6548\u7684\u8ffd\u8e2a\u548c\u5ba1\u8ba1\u5de5\u5177\uff0c\u4ece\u800c\u9632\u6b62\u6f5c\u5728\u7684\u751f\u7269\u5b89\u5168\u98ce\u9669\u548c\u4fdd\u62a4\u539f\u59cb\u521b\u4f5c\u8005\u7684\u6743\u76ca\u3002<\/p>\n

\u6c34\u5370\u6280\u672f\u88ab\u8ba4\u4e3a\u662f\u4e00\u79cd\u6709\u524d\u666f\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u4f46\u5728\u86cb\u767d\u8d28\u7ed3\u6784\u4e2d\u5b9e\u73b0\u8fd9\u4e00\u76ee\u6807\u9762\u4e34\u8bf8\u591a\u6311\u6218\u3002\u56e0\u4e3a\u86cb\u767d\u8d28\u7ed3\u6784\u5bf9\u5fae\u5c0f\u7684\u53d8\u5316\u9ad8\u5ea6\u654f\u611f\uff0c\u5d4c\u5165\u6c34\u5370\u800c\u4e0d\u7834\u574f\u86cb\u767d\u8d28\u7684\u751f\u7269\u529f\u80fd\u548c\u7a33\u5b9a\u6027\u662f\u4e00\u9879\u975e\u5e38\u590d\u6742\u7684\u4efb\u52a1\u3002<\/p>\n

\u666e\u6797\u65af\u987f\u5927\u5b66\u738b\u68a6\u8fea\u56e2\u961f\u63d0\u51fa FoldMark\uff0c\u8fd9\u662f\u4e00\u79cd\u7528\u4e8e\u86cb\u767d\u8d28\u751f\u6210\u6a21\u578b<\/mark>\u7684\u901a\u7528\u6c34\u5370\u65b9\u6cd5\u3002<\/p>\n

<\/a><\/p>\n

\u56fe\u793a\uff1aFoldMark \u6982\u8ff0\u3002\uff08\u6765\u6e90\uff1a\u8bba\u6587\uff09<\/section>\n

FoldMark \u5728\u9884\u8bad\u7ec3\u7684\u86cb\u767d\u8d28\u751f\u6210\u6a21\u578b<\/mark>\u57fa\u7840\u4e0a\u8fdb\u884c\u5f00\u53d1\uff0c\u901a\u5e38\u5305\u62ec\u4e24\u4e2a\u8bad\u7ec3\u9636\u6bb5\uff1a<\/p>\n

\u5728\u7b2c\u4e00\u4e2a\u9636\u6bb5\uff0c\u9884\u8bad\u7ec3\u4e00\u4e2a SE(3)-\u7b49\u53d8\u7684\u6c34\u5370\u7f16\u7801\u5668\u548c\u89e3\u7801\u5668\uff0c\u5b66\u4e60\u5982\u4f55\u5728\u4e0d\u635f\u5bb3\u7ed3\u6784\u8d28\u91cf\u7684\u524d\u63d0\u4e0b\u5c06\u6c34\u5370\u4fe1\u606f\u5d4c\u5165\u5230\u86cb\u767d\u8d28\u7ed3\u6784\u4e2d\u3002<\/p>\n

\u4e3a\u6b64\uff0c\u8bad\u7ec3\u8fc7\u7a0b\u4f7f\u7528\u4e24\u4e2a\u635f\u5931\u51fd\u6570<\/mark>\u8fdb\u884c\u4f18\u5316\uff1a\u4e00\u662f\u6d88\u606f\u6062\u590d\u635f\u5931\uff0c\u786e\u4fdd\u80fd\u4ece\u5d4c\u5165\u7684\u7ed3\u6784\u4e2d\u51c6\u786e\u63d0\u53d6\u6c34\u5370\u4fe1\u606f\uff1b\u4e8c\u662f\u7ed3\u6784\u4e00\u81f4\u6027\u635f\u5931\uff0c\u786e\u4fdd\u5d4c\u5165\u6c34\u5370\u540e\u7684\u86cb\u767d\u8d28\u7ed3\u6784\u4e0e\u539f\u59cb\u7ed3\u6784\u4e4b\u95f4\u7684\u504f\u5dee\u6700\u5c0f\u3002<\/p>\n

<\/a><\/p>\n

\u56fe\u793a\uff1aFoldMark \u7684\u9884\u8bad\u7ec3\u9636\u6bb5\u3002\uff08\u6765\u6e90\uff1a\u8bba\u6587\uff09<\/p>\n

\u5728\u7b2c\u4e8c\u9636\u6bb5\uff0c\u63d0\u51fa\u6c34\u5370\u00a0LoRA\uff08Low-Rank Adaptation\uff09\u65b9\u6cd5\uff0c\u5c06\u7ed9\u5b9a\u7684\u6c34\u5370\u4ee3\u7801\u7075\u6d3b\u5730\u7f16\u7801\uff0c\u5e76\u5408\u5e76\u5230\u539f\u59cb\u6a21\u578b\u6743\u91cd<\/mark>\u4e2d\uff0c\u4e0d\u6539\u53d8\u6216\u589e\u52a0\u989d\u5916\u7684\u6a21\u578b\u67b6\u6784\u3002<\/p>\n

\u5177\u4f53\u800c\u8a00\uff0c\u751f\u6210\u6a21\u578b<\/mark>\u7684\u4f18\u5316\u76ee\u6807\u6709\u4e24\u4e2a\uff1a\u6d88\u606f\u68c0\u7d22\u635f\u5931\u548c\u4e00\u81f4\u6027\u635f\u5931\u3002\u6d88\u606f\u68c0\u7d22\u635f\u5931\u786e\u4fdd\u6c34\u5370\u80fd\u591f\u6709\u6548\u5d4c\u5165\u751f\u6210\u7684\u7ed3\u6784\u4e2d\uff0c\u5e76\u6210\u529f\u63d0\u53d6\u51fa\u5d4c\u5165\u7684\u6c34\u5370\u4ee3\u7801\uff1b\u4e00\u81f4\u6027\u635f\u5931\u5219\u786e\u4fdd\u6c34\u5370\u7684\u52a0\u5165\u5bf9\u86cb\u767d\u8d28\u7ed3\u6784\u7684\u6574\u4f53\u8d28\u91cf\u5f71\u54cd\u5c3d\u53ef\u80fd\u5c0f\u3002<\/p>\n

<\/a><\/p>\n

\u56fe\u793a\uff1aFoldMark \u7684\u5fae\u8c03\u9636\u6bb5\u3002\uff08\u6765\u6e90\uff1a\u8bba\u6587\uff09<\/p>\n

\u6c34\u5370\u6a21\u578b\u6027\u80fd\u8bc4\u4f30<\/strong><\/p>\n

\u5728\u5b9e\u9a8c\u4e2d\uff0cFoldMark \u88ab\u7528\u4e8e\u591a\u79cd\u751f\u6210\u6a21\u578b<\/mark>\u7684\u6c34\u5370\u5d4c\u5165\u4efb\u52a1\u3002\u7814\u7a76\u56e2\u961f\u4f7f\u7528\u4e0d\u540c\u7684\u6c34\u5370\u4f4d\u957f\u5ea6\uff08\u4f8b\u5982 4 \u4f4d\u30018 \u4f4d\u300116 \u4f4d\u548c 32 \u4f4d\uff09\u6765\u8bc4\u4f30\u6c34\u5370\u5d4c\u5165\u548c\u6062\u590d\u7684\u6548\u679c\u3002<\/p>\n

<\/a><\/p>\n

\u56fe\u793a\uff1a\u6c34\u5370\u65e0\u6761\u4ef6\u86cb\u767d\u8d28\u7ed3\u6784\u751f\u6210\u6a21\u578b<\/mark>\u7684\u6c34\u5370\u751f\u6210\u6027\u80fd\u6bd4\u8f83\u3002\uff08\u6765\u6e90\uff1a\u8bba\u6587\uff09<\/p>\n

\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0cFoldMark \u5728 16 \u4f4d\u6c34\u5370\u4ee3\u7801\u4e0b\uff0c\u80fd\u591f\u4ee5\u63a5\u8fd1 100% \u7684\u51c6\u786e\u7387<\/mark>\u4ece\u7f16\u7801\u7684\u86cb\u767d\u8d28\u7ed3\u6784\u4e2d\u6062\u590d\u51fa\u6c34\u5370\u4fe1\u606f\u3002<\/p>\n

\u800c\u4e14\uff0c\u4e0e\u56fe\u50cf\u9886\u57df\u7684\u65b9\u6cd5\uff08\u5982 WaDiff \u548c AquaLoRA\uff09\u76f8\u6bd4\uff0cFoldMark \u5728\u5927\u591a\u6570\u60c5\u51b5\u4e0b\u8868\u73b0\u51fa\u4e00\u81f4\u7684\u6539\u8fdb\u6548\u679c\uff0c\u5e76\u4e14\u53ef\u4ee5\u6210\u529f\u5904\u7406 16 \u4f4d\u7684\u6c34\u5370\u4ee3\u7801\u3002<\/p>\n

<\/a><\/p>\n

\u56fe\u793a\uff1a\u86cb\u767d\u8d28\u7ed3\u6784\u9884\u6d4b\u6a21\u578b\u7684\u6c34\u5370\u6027\u80fd\u6bd4\u8f83\u3002\uff08\u6765\u6e90\uff1a\u8bba\u6587\uff09<\/p>\n

\u5e94\u7528\u573a\u666f\u4ecb\u7ecd<\/strong><\/p>\n

FoldMark \u7684\u4e3b\u8981\u5e94\u7528\u573a\u666f\u5305\u62ec\u7248\u6743\u4fdd\u62a4\u68c0\u6d4b\u548c\u7528\u6237\u8eab\u4efd\u8bc6\u522b\u3002\u7248\u6743\u4fdd\u62a4\u68c0\u6d4b\u7684\u76ee\u7684\u662f\u901a\u8fc7\u63d0\u53d6\u86cb\u767d\u8d28\u7ed3\u6784\u4e2d\u7684\u6c34\u5370\u4fe1\u606f\uff0c\u786e\u8ba4\u7ed3\u6784\u7684\u751f\u6210\u5f52\u5c5e\uff0c\u4ee5\u8bc1\u660e\u7ed3\u6784\u662f\u7531\u7279\u5b9a\u6a21\u578b\u751f\u6210\u7684\u3002<\/p>\n

\u5728\u7528\u6237\u8eab\u4efd\u8bc6\u522b\u65b9\u9762\uff0cFoldMark \u53ef\u4ee5\u4e3a\u6bcf\u4e2a\u7528\u6237\u5206\u914d\u552f\u4e00\u7684\u6c34\u5370\uff0c\u4ece\u800c\u901a\u8fc7\u4ece\u751f\u6210\u7684\u7ed3\u6784\u4e2d\u63d0\u53d6\u6c34\u5370\uff0c\u8ffd\u8e2a\u5230\u751f\u6210\u8005\u7684\u8eab\u4efd\u3002\u8fd9\u4e00\u5e94\u7528\u4e0d\u4ec5\u80fd\u591f\u68c0\u6d4b\u751f\u6210\u5185\u5bb9\uff0c\u8fd8\u53ef\u5b9e\u73b0\u8ffd\u8d23\uff0c\u4fdd\u62a4\u4e0d\u540c\u7528\u6237\u7684\u7248\u6743\u3002<\/p>\n

\u5e94\u5bf9\u540e\u5904\u7406\u548c\u81ea\u9002\u5e94\u653b\u51fb\u7684\u80fd\u529b<\/strong><\/p>\n

\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6076\u610f\u7528\u6237\u53ef\u80fd\u5bf9\u5e26\u6709\u6c34\u5370\u7684\u86cb\u767d\u8d28\u7ed3\u6784\u8fdb\u884c\u540e\u5904\u7406\u6216\u8bbe\u8ba1\u81ea\u9002\u5e94\u653b\u51fb\uff0c\u4ee5\u89c4\u907f FoldMark \u7684\u4fdd\u62a4\u3002\u7814\u7a76\u4eba\u5458\u8003\u8651\u4e86\u4e09\u79cd\u5e38\u89c1\u7684\u86cb\u767d\u8d28\u7ed3\u6784\u540e\u5904\u7406\u65b9\u6cd5\uff08\u5982\u88c1\u526a\u3001\u65cb\u8f6c+\u7ffb\u8bd1\u3001\u6dfb\u52a0\u566a\u58f0\uff09\u548c\u4e24\u79cd\u81ea\u9002\u5e94\u653b\u51fb\uff08\u5982\u5fae\u8c03\u653b\u51fb\u3001\u591a\u4fe1\u606f\u653b\u51fb\uff09\u3002<\/p>\n

<\/a><\/p>\n

\u56fe\u793a\uff1aFoldMark \u5728\u540e\u5904\u7406\u548c\u81ea\u9002\u5e94\u653b\u51fb\u4e0b\u7684\u8868\u73b0\u3002\u86cb\u767d\u8d28\u540e\u5904\u7406\u5305\u62ec\u7ed3\u6784\u88c1\u526a\uff08\u4fdd\u7559\u6574\u4e2a\u5e8f\u5217\u7684 50%\uff09\u3001\u968f\u673a\u5e73\u79fb\u548c\u65cb\u8f6c\u6574\u4e2a\u7ed3\u6784\uff0c\u4ee5\u53ca\u5411\u5750\u6807\u6dfb\u52a0\u9ad8\u65af\u566a\u58f0\uff08\u5f3a\u5ea6 0.2\uff09\u3002\uff08\u6765\u6e90\uff1a\u8bba\u6587\uff09<\/p>\n

\u7ed3\u679c\u663e\u793a\uff0cFoldMark \u80fd\u591f\u62b5\u6297\u8fd9\u4e9b\u540e\u5904\u7406\u548c\u653b\u51fb\uff0c\u56e0\u4e3a\u6c34\u5370\u4fe1\u606f\u88ab\u5d4c\u5165\u5230\u6bcf\u4e2a\u6b8b\u57fa\u4e2d\uff0c\u4e14\u89e3\u7801\u5668\u5bf9 SE(3) \u53d8\u5316\u4e0d\u654f\u611f\u3002<\/p>\n

<\/a><\/p>\n

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\u5c40\u9650\u6027\u4e0e\u672a\u6765\u5c55\u671b<\/strong><\/p>\n

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\u7ed3\u8bed<\/strong><\/p>\n

\u603b\u4e4b\uff0c\u8be5\u7814\u7a76\u8bc1\u660e\u4e86 FoldMark \u5728\u86cb\u767d\u8d28\u751f\u6210\u6a21\u578b<\/mark>\u53ca\u5176\u8f93\u51fa\u4e2d\u5d4c\u5165\u6c34\u5370\u7684\u53ef\u884c\u6027\u3002\u8fd9\u79cd\u4e24\u9636\u6bb5\u65b9\u6cd5\u6210\u529f\u5730\u4fdd\u7559\u4e86\u86cb\u767d\u8d28\u7ed3\u6784\u7684\u8d28\u91cf\uff0c\u540c\u65f6\u5d4c\u5165\u4e86\u7528\u6237\u7279\u5b9a\u7684\u4fe1\u606f\u4ee5\u8fdb\u884c\u7248\u6743\u8ba4\u8bc1\u548c\u8ddf\u8e2a\u3002<\/p>\n

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\u8fd9\u4e3a\u89e3\u51b3\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd<\/mark>\u5728\u86cb\u767d\u8d28\u8bbe\u8ba1\u5e94\u7528\u4e2d\u7684\u7248\u6743\u4fdd\u62a4\u7b49\u4f26\u7406\u95ee\u9898\u63d0\u4f9b\u4e86\u6f5c\u5728\u65b9\u6848\u3002<\/p>\n

\u76f8\u5173\u5185\u5bb9: https:\/\/x.com\/BiologyAIDaily\/status\/1850175194884882799<\/em><\/p>\n

\u4ee3\u7801\u5730\u5740: https:\/\/github.com\/zaixizhang\/FoldMark<\/em><\/p>\n

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