Resource hub
Enjoy a broad range of Safe Intelligence blog and product info, academic papers and the Resilient x Design ML Substack community.
Resources Hub
Neural network (NN) verification methods provide local robustness guarantees for a NN in the dense perturbation space of an input.
Introducing Our New Free E-book on Enterprise AI Risk & Validation
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AIEngineer Europe 2026: Launching /Spec27 and Talking Validation
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Introducing Spec27: Spec-driven validation for AI applications and agents
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NVIDIA GTC 2026: The Growing Need for AI Validation
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Building Trustworthy AI: Highlights from AAAI
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We’re at NeurIPS 2025!
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AI Engineer Paris 2025 Recap – Through the Lens of Trustworthy AI
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Safe Intelligence in Zagreb: Our Highlights from the 2025 Symposium on AI Verification (SAIV)
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Dynamic Back-Substitution in Bound-Propagation-Based Neural Network Verification
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Verification of Neural Networks Against Convolutional Perturbations via Parameterised Kernels
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