Sept. 28, 2023, 6:40 p.m. |

Tech Xplore - Security News techxplore.com

By completely rethinking the way that most Artificial Intelligence (AI) systems protect against attacks, researchers at EPFL's School of Engineering have developed a new training approach to ensure that machine learning models, particularly deep neural networks, consistently perform as intended, significantly enhancing their reliability.

artificial artificial intelligence attacks engineering intelligence machine machine learning machine learning models networks neural networks protect reliability researchers robustness school school of engineering security systems training

Information Security Engineers

@ D. E. Shaw Research | New York City

Technology Security Analyst

@ Halton Region | Oakville, Ontario, Canada

Senior Cyber Security Analyst

@ Valley Water | San Jose, CA

Sr. Staff Firmware Engineer – Networking & Firewall

@ Axiado | Bengaluru, India

Compliance Architect / Product Security Sr. Engineer/Expert (f/m/d)

@ SAP | Walldorf, DE, 69190

SAP Security Administrator

@ FARO Technologies | EMEA-Portugal