Showing results for "but-" in Security & Encryption

In Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What to Do About Them, a team of distinguished adversarial machine learning researchers deliver a riveting account of the most significant risk to currently deployed artificial intelligence systems: cybersecurity threats. The authors take you on a sweeping tour—from inside secretive government organizations to academic workshops at ski chalets to Google's cafeteria—recounting how major AI systems remain vulnerable to the exploits of bad actors of all stripes.

Summer 2017: computer screens go blank in 150 countries. The NHS is so affected that hospitals can only take in patients for A&E. Ambulances are grounded. Computer screens turn on spontaneously and warnings appear. Employees who desperately pull the plugs are too late. Restarting is pointless; the computers are locked. And now the attackers ask each victim for money. This is hijack software. It is just one example of how vulnerable the digital world has made us.

Why GAO did this study. The internet is a global system of interconnected networks used by billions of people across the world to perform personal, educational, commercial, and governmental tasks. The US Government over time has relinquished its oversight role of the internet. A global, multistakeholder community made up of many organizations shapes internet policy, operations, and security. But the ongoing and increasing reliance on the internet underscores the need to understand the risks to its underlying architecture.