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保护人工智能模型——应对新兴威胁、保障人工智能部署安全的策略.pdf

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1、Defending AI Models:Strategies for Securing AI Implementations Against Emerging ThreatsSecuring AI SystemsAruneesh Salhotra,CEO/CISO,SNM Consulting Inc.InvestorSecuring AI SystemsDefending AI Models:Strategies for Securing AI Implementations Against Emerging ThreatsAruneesh Salhotra,CEO/CISO,SNM Con

2、sulting Inc.InvestorBefore we startThanks to SANS AI Summit organizers,leaders and volunteers.It takes a lot of volunteer hours and hard work to organize.Thanks to you for attending this sessionFor this presentation,apart from my experience,I have learnt a lot from other experts,books,OWASP and inte

3、rnet.My sincere thanks to the sources.Copyright 2025 Aruneesh SalhotraAll rights reserved.No part of this presentation may be reproduced,distributed,or transmitted in any form or by any means,including photocopying,recording,or other electronic or mechanical methods,without the prior written permiss

4、ion of the copyright owner,except in the case of brief quotations embodied in critical reviews and certain other noncommercial uses permitted by copyright law.For permission requests,write to the copyright owner at the address This presentation is intended for industry conferences held both in-perso

5、n as well as virtually.Unauthorized use and/or duplication of this material without express and written permission from this presentations author and/or owner is strictly prohibited.LinkedIn:https:/ SalhotraAbout Me Technologist Generalist CISO,Investor Lifetime learner-co-sharing/learning Avid Tech

6、nologist and Researcher Passion for GTM,Community and Promotion Bloggers,Podcasters,Author Co-author,97 Books for AppSec Leader Passionate about nonprofits and education Educate about risks with the connected world Active Infragard Member G-CISO Co-Chair Member of InfragardOWASP and Me OWASP AIBOM L

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根据报告的内容,以下是全文关键点的概括: 1. **AI安全挑战**:随着AI的广泛应用,其攻击面增大,面临模型提取、数据中毒、对抗性输入和提示注入等威胁。 2. **AI Exchange项目**:OWASP AI Exchange提供AI安全资源,包括200页材料、与ISO/IEC 27090的直接贡献、对欧盟AI法案的广泛贡献。 3. **AI安全矩阵**:提供AI威胁、风险、缓解措施和控制框架,包括模型提取、数据中毒、对抗性输入和提示注入的防御策略。 4. **最佳实践**:强调分层安全、持续更新、团队合作、维护AI库存、威胁建模、定期审计、建立数据安全政策、模拟对抗性攻击等。 5. **资源与工具**:列出多个AI安全标准和框架,如NIST、MITRE、ENISA、CISA、CSA等,以及OWASP AI Exchange等资源。
如何防御攻击?" 如何构建安全框架?" 如何识别潜在风险?"
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