VentureBeat

Adversarial attacks in machine learning: What they are and how to stop them

Adversarial machine learning, a technique that attempts to fool models with deceptive data, is a growing threat in the AI and machine learning research community. The most common reason is to cause a ...
VentureBeat

Adversarial machine learning: The underrated threat of data poisoning

Most artificial intelligence researchers agree that one of the key concerns of machine learning is adversarial attacks, data manipulation techniques that cause trained models to behave in undesired ...
Infosecurity-magazine.com

#InfosecurityEurope: Preparing for Adversarial Machine Learning Attacks

Machine learning (ML) and artificial intelligence (AI) are essential components in modern and effective cybersecurity solutions. However, as the use of ML and AI in cybersecurity is increasingly ...
AFCEA

Cracking the Code on Adversarial Machine Learning

The vulnerabilities of machine learning models open the door for deceit, giving malicious operators the opportunity to interfere with the calculations or decision making of machine learning systems.
Forbes

AI Ethics Tempted But Hesitant To Use AI Adversarial Attacks Against The Evils Of Machine Learning, Including For Self-Driving Cars

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. It is widely accepted sage wisdom to garner as much as you can ...
IT Business Edge

Adversarial Machine Learning: Combating Data Poisoning

The fields of machine learning (ML) and artificial intelligence (AI) have seen rapid developments in recent years. ML, a branch of AI and computer science, is the process through which computers can ...
JD Supra

Adversarial Machine Learning in Focus: Novel Risks, Straightforward Legal Approaches

The Artificial Intelligence and Machine Learning (“AI/ML”) risk environment is in flux. One reason is that regulators are shifting from AI safety to AI innovation approaches, as a recent DataPhiles ...
The Next Web

How to protect your AI systems against adversarial machine learning

With machine learning becoming increasingly popular, one thing that has been worrying experts is the security threats the technology will entail. We are still exploring the possibilities: The ...
The Next Web

Researchers have created a new technique to stop adversarial attacks

Did you know Neural is taking the stage this fall? Together with an amazing line-up of experts, we will explore the future of AI during TNW Conference 2021. Secure your ticket now! There’s growing ...
National Academies of Sciences%2c Engineering%2c and Medicine

Robust Machine Learning Algorithms and Systems: Detection & Mitigation of Adversarial Attacks and Anomalies

The Intelligence Community Studies Board of the National Academies of Sciences, Engineering, and Medicine will convene a workshop on December 11-12, 2018 to provide the Intelligence Community (IC) ...
EurekAlert!

Discovery of universal adversarial attacks for quantum classifiers

Artificial intelligence has achieved dramatic success over the past decade, with the triumph in predicting protein structures marked as the latest milestone. At the same time, quantum computing has ...
SiliconANGLE

New HiddenLayer platform provides protection for machine learning models

Cybersecurity for machine learning models startup HiddenLayer Inc. today announced the public launch of a new artificial intelligence cybersecurity platform that empowers security operations and data ...