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Article
Tensor Steganography and AI Cybersecurity
Tensor steganography exploits two key characteristics of deep learning models: the massive number of parameters (weights) in neural networks and the inherent imprecision of floating-point numbers. Learn about this novel technique that combines traditional steganography principles with deep-learning model structures.
Cheat Sheet
5 Steps to Prioritize Based on Risk with Snyk - Risk-Based Prioritization Cheat Sheet
Keeping up with security can feel like a juggling act, but Snyk makes it easier by helping you focus on what matters. Follow these five steps to protect your most important application assets and prioritize issues based on the actual risk to your organization.