Fibrin 发表于 2025-3-25 03:44:45
An Efficient Bucket Logging for Persistent Memory). BKL uses the per-transaction log structure (i.e., bucket) to store logs internally and ensures efficient writing of metadata and logs. Benefit from multi version concurrency control, BKL only records small fixed-size log entries to implement fast logging and crash recovery. Moreover, we optimize哀求 发表于 2025-3-25 07:29:00
http://reply.papertrans.cn/103/10217/1021672/1021672_22.pngAMEND 发表于 2025-3-25 13:51:04
Data Poisoning Attacks on Crowdsourcing Learningl-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变化无常 发表于 2025-3-25 18:50:00
http://reply.papertrans.cn/103/10217/1021672/1021672_24.pngEclampsia 发表于 2025-3-25 20:18:01
http://reply.papertrans.cn/103/10217/1021672/1021672_25.png圆锥 发表于 2025-3-26 02:31:31
ties as the BSW scheme but does not rely on collision resistant hash functions. Instead, we use a target collision resistant hash function, which is a strictly weaker primitive than a collision resistant hash function. Our scheme is, in terms of the signature size and the computational cost, as efficient as the BSW scheme.Cerebrovascular 发表于 2025-3-26 08:16:10
http://reply.papertrans.cn/103/10217/1021672/1021672_27.png厚颜 发表于 2025-3-26 11:13:25
http://reply.papertrans.cn/103/10217/1021672/1021672_28.png大喘气 发表于 2025-3-26 12:47:26
Guanghua Li,Qiyan Li,Jingqiao Liu,Yuanyuan Zhu,Ming Zhongatabase based provenance model, ., can be easily mapped to the FLOQ model; and iv) We show by examples that FLOQ is expressive enough to formulate common provenance queries, including all the provenance challenge queries proposed in the provenance challenge series.gout109 发表于 2025-3-26 20:07:41
Gang Wang,Qi Peng,Yanfeng Zhang,Mingyang Zhangt publication of the PROV standard for provenance on the Web, which the two authors actively help shape in the Provenance Working Group at the World Wide Web Consortium, this Synthesis lecture is a hands-on introduction to PROV aimed at Web and linked data professionals. By means of recipes, illustr