帕拉纳姆基于深度学习的童年防御系统

Anurag Singh, Preeti Singh, Vibhor Sharma, Dhruv Tyagi, Nilesh Pandey, Bhavesh Vaid
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引用次数: 0

摘要

联合国儿童基金会的报告指出,每半秒钟就有一名儿童第一次上网。互联网为儿童提供了大量学习、游戏、与新朋友互动和发展社交网络的机会。如果以负责任的态度加以利用,让所有人都能使用,互联网就有可能在全世界范围内拓展视野、培养创造力。然而,这些机遇与重大风险并存,因为互联网也会助长有害在线内容的传播,包括暴力和儿童性虐待材料(CSAM)。在线伤害的表现形式多种多样,既可以是数字领域内的专门伤害,也可以是欺凌或诱骗等线下虐待行为的延伸。主要的挑战在于无时无刻不在发生的、对儿童影响最大的直播内容。对于儿童来说,没有年龄限制。开发在线内容分析器就是为了保护儿童。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Palanam: A Deep Learning Based Childhood Defense System
With the increasing accessibility of the internet, children are going online at an unprecedented rate, as indicated by UNICEF's report that a child goes online for the first time every half second. The internet offers vast opportunities for children to learn, play, interact with new individuals, and develop their social networks. When harnessed responsibly and made accessible to all, the internet has the potential to expand horizons and nurture creativity worldwide. However, these opportunities coexist with significant risks, as the internet can also facilitate the dissemination of harmful online content, including violent and Child Sexual Abuse Material (CSAM). Online harm can manifest in various forms, either exclusively within the digital realm or as an extension of offline abuse, such as bullying or grooming. The main challenge is the live-streaming content that is available all the time and affecting children's most. No age bar is working for children. An online content analyzer is developed to defend childhood.
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