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轻松实现人工智能安全.pdf

上传人: 可*** 编号:991889 2025-12-07 29页 2.24MB

1、/SOFTWARE IMPROVEMENT GROUP/SOFTWARE IMPROVEMENT GROUPAI securitymade easyRob van der VeerSANS AI CYBERSECURITY SUMMIT APRIL 1ST2025/SOFTWARE IMPROVEMENT GROUPResponsibleTrustworthyAI writes secure codeFairSafeBiasedDiscriminatingAI verifies securitySkewedGeneralizingTransprarentExplainableSecure AI

2、 systemPrivacy-preservingLawfulEthicalHarmfulAI defendsPerformantRobustFundamental rightsHallucinatingAI attacksStaleAccurate2Security professional,what is your concern?/SOFTWARE IMPROVEMENT GROUPSecurity professional,what is your concern?ResponsibleTrustworthyAI writes secure codeFairSafeBiasedDisc

3、riminatingAI verifies securitySkewedGeneralizingTransprarentExplainableSecure AI systemPrivacy-preservingLawfulEthicalHarmfulAI defendsPerformantRobustFundamental rightsHallucinatingAI attacksStaleAccurate3/SOFTWARE IMPROVEMENT GROUPSecurity professional,what is your concern?ResponsibleTrustworthyAI

4、 writes secure codeFairSafeBiasedDiscriminatingAI verifies securitySkewedGeneralizingTransprarentExplainableSecure AI systemPrivacy-preservingLawfulEthicalHarmfulAI defendsPerformantRobustFundamental rightsHallucinatingAI attacksStaleAccurate4/SOFTWARE IMPROVEMENT GROUPResponsibleTrustworthyAI write

5、s secure codeFairSafeBiasedDiscriminatingAI verifies securitySkewedGeneralizingTransprarentExplainableSecure AI systemPrivacy-preservingLawfulEthicalHarmfulAI defendsPerformantRobustFundamental rightsHallucinatingAI attacksStaleAccurateThe key AI security concern?/SOFTWARE IMPROVEMENT GROUPWhat is s

6、pecial about AI security?6Application&infrastructureInputOutputAIModelAI engineeringStandardengineeringAugmentation dataTraining dataDevelopment-timeRuntime/SOFTWARE IMPROVEMENT GROUPThe six special things about AI securityApplication&infrastructureInputOutputAIModelTraining dataAI engineering7Poiso

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根据《AI security made easy》的内容,以下是全文关键点的概括: 1. **AI安全核心**:AI安全涉及AI系统的安全性、透明性、可解释性、隐私保护和法律伦理。 2. **AI安全挑战**:包括数据中毒、模型窃取、输入攻击等。 3. **AI安全特殊之处**:涉及应用与基础设施、输入输出、AI模型、训练数据、AI工程和标准工程等多个方面。 4. **AI工程问题**:AI工程通常缺乏软件工程最佳实践,如代码可维护性差、缺乏测试和安全问题。 5. **AI安全策略**:包括教育AI工程师和标准工程师、实施跨团队威胁模型、确保供应商遵守标准等。 6. **AI标准**:与OWASP、NIST、MITRE、ENISA、CISA、CSA、Alan Turing Institute等标准机构保持一致。 7. **AI Act合规**:关注AI Act合规,包括机会、风险和合规性。
六大挑战揭秘" 软件成熟度如何提升?" 如何保护你的数据?"
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