面部奥姆龙戒指:通过身份意识对面部伪造进行主动防御
Yunshu Dai1, Jianwei Fei2, Fangjun Huang1
1College of Cyber Science and Technology, Sun Yat-sen University, Shenzhen, China.
概括
面部伪造模型威胁到安全. 面部奥姆龙戒指 (FOR) 通过防止人工智能伪造受保护人员的面部来主动保护个人,确保安全而不妨碍其他人工智能功能.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 网络安全 网络安全
背景情况:
- 人工智能生成内容 (AIGC) 模型,特别是面部伪造技术,存在重大安全风险.
- 针对公众人物和利益相关者 (POI) 的深度假冒的创建导致了广泛的负面社会影响.
- 现有的防御机制往往缺乏积极主动的,以身份为中心的保护,防止复杂的面部伪造.
研究的目的:
- 引入一种新的防御机制,面部奥姆龙环 (FOR),以积极保护面部伪造模型.
- 开发一种方法,允许面部伪造模型选择性地拒绝伪造受保护身份的图像.
- 确保特定身份的保护不会损害不受保护的个人一般的伪造能力.
主要方法:
- 拟议的Face Omron Ring (FOR) 集成到现有的面部伪造模型中.
- 实验使用四种突出的面部伪造模型进行:StarGAN,AGGAN,AttGAN和HiSD.
- 在大型数据集上进行了广泛的测试,包括CelebA,CelebA-HQ和PubFig83.
主要成果:
- 该方法成功保护了5000个不同的身份,保护成功率为100%,每个身份需要大约100个图像.
- 拟议的方法证明了对JPEG压缩,裁剪,增加噪声和模糊等常见图像处理攻击的高度稳定性.
- 与现有方法相比,FOR提供以身份为中心的保护,不需要预处理,提高了可扩展性和安全性.
结论:
- 面部奥姆龙戒指 (FOR) 提供了一种有效和可扩展的解决方案,用于积极主动,以身份为中心的防御面部伪造.
- 这种方法为负责任的AIGC公司提供了一条途径,以规范滥用面部伪造技术的滥用.
- FOR通过使个人有针对性的保护,同时保持其他应用的AI模型的功能来增强安全性.
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