AI Used to Decrypt Medieval Ciphers
Researchers are using machine learning algorithms to decrypt historical pencil-and-paper ciphers. [...]
Researchers are using machine learning algorithms to decrypt historical pencil-and-paper ciphers. [...]
Cloud and AI are transforming industries and societies at unprecedented speed, from accelerating research and enhancing customer experiences to optimizing business processes and enriching public services. At Amazon Web Services (AWS), we believe that for the cloud and AI to reach their full potential, customers need control over their …
At AWS, we’ve spent decades developing processes and tools that enable us to defend millions of customers simultaneously, wherever they operate around the world. Every day, our security and threat intelligence teams are doing work with AI and automation that most people never see. Our AI-powered log analysis …
On November 2, 1988, graduate student Robert Morris released a self-replicating program into the early Internet. Within 24 hours, the Morris worm had infected roughly 10 percent of all connected computers, crashing systems at Harvard, Stanford, NASA, and Lawrence Livermore National Laboratory. The worm exploited security flaws in Unix …
This is a truly fascinating paper: “ Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography.” The basic idea is that AIs can act as trusted third parties: Abstract: We often interact with untrusted parties. Prioritization of privacy can limit the effectiveness of these interactions, as …
NIST just released a comprehensive taxonomy of adversarial machine learning attacks and countermeasures. [...]
As AI and machine learning (AI/ML) become increasingly accessible through cloud service providers (CSPs) such as Amazon Web Services (AWS), new security issues can arise that customers need to address. AWS provides a variety of services for AI/ML use cases, and developers often interact with these services …