#adversarial-resilience News & Analysis

2 articles tagged with #adversarial-resilience. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 236/10

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AutoRAS: Learning Robust Agentic Systems with Primitive Representations

Researchers introduce AutoRAS, a framework for automatically designing robust multi-agent AI systems that maintain performance under adversarial attacks. The approach uses symbolic primitives to encode agent structure and behavior, optimizing for both task success and system resilience rather than treating robustness as an afterthought.

AINeutralarXiv – CS AI · Jun 116/10

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Feature-Aligned Speech Watermarking for Robustness to Reconstruction Distortions

Researchers propose a feature-aligned speech watermarking method that embeds imperceptible identifiable information into audio while maintaining robustness against speech reconstruction models. By aligning watermarks with original speech feature distributions, the technique overcomes the traditional robustness-fidelity trade-off that has limited previous audio watermarking approaches.