Forbes

Three Weird Ways AI Can Be Tricked

Machine learning systems and innovative deep learning mechanisms that assure prospects of the bright and glittering future are in fact exceedingly vulnerable to cyberattacks. Like any technology, ...
ascopubs.org

Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology

HealthTree Cure Hub: A Patient-Derived, Patient-Driven Clinical Cancer Information Platform Used to Overcome Hurdles and Accelerate Research in Multiple Myeloma Adversarial images represent a ...
The Verge

This colorful printed patch makes you pretty much invisible to AI

The patch only fools a specific algorithm, but researchers are working on more flexible solutions The patch only fools a specific algorithm, but researchers are working on more flexible solutions is a ...
Digital Trends

Image-recognition A.I. has a big weakness. This could be the solution

You’re probably familiar with deepfakes, the digitally altered “synthetic media” that’s capable of fooling people into seeing or hearing things that never actually happened. Adversarial examples are ...
AFCEA

Adversarial Machine Learning Poses a New Threat to National Security

Imagine the following scenarios: An explosive device, an enemy fighter jet and a group of rebels are misidentified as a cardboard box, an eagle or a sheep herd. A lethal autonomous weapons system ...
Wired

Artificial Intelligence May Not 'Hallucinate' After All

Louise Matsakis covers cybersecurity, internet law, and online culture for WIRED. Now, a leading group of researchers from MIT have found a different answer, in a paper that was presented earlier this ...
MIT Technology Review

How we might protect ourselves from malicious AI

We’ve touched previously on the concept of adversarial examples—the class of tiny changes that, when fed into a deep-learning model, cause it to misbehave. In March, we covered UC Berkeley professor ...
Medicine Buffalo

UB researchers find vulnerabilities in safety of AI in driverless cars

Artificial intelligence is a key technology for self-driving vehicles. It is used for decision-making, sensing, predictive modeling and other tasks. But how vulnerable are these AI systems to an ...
Forbes

Five Components Of Autonomous Car Security

Among all AI solutions, I believe the cybersecurity of autonomous cars is the most crucial aspect. One incident alone affecting human lives could disrupt not only a victimized company but the whole ...
Computer Weekly

Eticas outlines approach to ‘adversarial’ algorithmic auditing

As governments look to regulate the online world, the scrutiny of the algorithms that sit behind popular websites and apps is only going to increase. With doubts over whether self-regulation can ever ...
Infosecurity-magazine.com

NIST Fortifies Chatbots and Self-Driving Cars Against Digital Threats

In a landmark move, the US National Institute of Standards and Technology (NIST) has taken a new step in developing strategies to fight against cyber-threats that target AI-powered chatbots and ...