Aggressive 发表于 2025-3-26 23:25:19
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l-world datasets demonstrates that our attack can significantly decrease the test accuracy of trained classifiers. We verified that the labels generated with our strategy can be transferred to attack a broad family of crowdsourcing learning models in a black-box setting, indicating its applicability我们的面粉 发表于 2025-3-27 06:42:00
Arun Mozhi Devan Panneer Selvam,Fawnizu Azmadi Hussin,Rosdiazli Ibrahim,Kishore Bingi,Nagarajapandial-world datasets demonstrates that our attack can significantly decrease the test accuracy of trained classifiers. We verified that the labels generated with our strategy can be transferred to attack a broad family of crowdsourcing learning models in a black-box setting, indicating its applicabilityFrequency 发表于 2025-3-27 13:26:39
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http://reply.papertrans.cn/71/7029/702881/702881_35.pnghemophilia 发表于 2025-3-27 18:40:46
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