种族被根除 发表于 2025-3-23 13:36:52
,MOTUS: How Quantized Parameters Improve Protection of Model and Its Inference Input,s paper, we discuss how a model’s parameter quantization works to protect the model and its inference inputs. To this end, we present an investigational protocol, ., based on ternary neural networks whose parameters are ternarized. Through extensive experiments with MOTUS, we found three key insight不爱防注射 发表于 2025-3-23 17:09:15
http://reply.papertrans.cn/47/4675/467474/467474_12.pngPelago 发表于 2025-3-23 19:41:50
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http://reply.papertrans.cn/47/4675/467474/467474_14.png灾难 发表于 2025-3-24 02:20:33
,Application-Oriented Anonymization Framework for Social Network Datasets and IoT Environments,ding personal and sensitive information. Anonymization enables providers to share their datasets and preserve the privacy of individuals at the same time. It is a valuable tool for preserving individuals’ privacy in social network datasets and IoT environments. Researchers recently focused on develo傀儡 发表于 2025-3-24 08:45:56
,AI-Powered Vulnerability Detection for Secure Source Code Development,d to reduce these issues at the early stages of the development lifecycle. Artificial Intelligence (AI) could be applied to detect vulnerabilities in source code. In this research, a Machine Learning (ML) based method is proposed to detect source code vulnerabilities in C/C++ applications. Furthermo不安 发表于 2025-3-24 13:20:12
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http://reply.papertrans.cn/47/4675/467474/467474_19.pngBINGE 发表于 2025-3-25 00:07:38
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