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 ...
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 ...
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 ...
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 ...
Devdiscourse

AI moves to the core of cyber defense as attacks grow more complex

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...
VentureBeat

MLsec could be the answer to adversarial AI and machine learning attacks

VentureBeat presents: AI Unleashed - An exclusive executive event for enterprise data leaders. Network and learn with industry peers. Learn More With research showing that private investment in ...
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 ...
Healthcare IT News

Microsoft and MITRE team up to defend against ML cyberattacks

Microsoft and MITRE have developed a tool that works like an automated adversarial attack library for those that lack a deep background in machine learning or artificial intelligence, providing ...
Nature

Adversarial Attacks in Deep Learning for Wireless Communication

The integration of deep learning techniques into wireless communication systems has catalysed notable advancements in tasks such as modulation classification and spectrum sensing. However, 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 ...
Homeland Security Today

NIST Seeks Comment on Draft Adversarial Machine Learning Report

NIST’s National Cybersecurity Center of Excellence (NCCoE) has released a draft report on machine learning (ML) for public comment. A Taxonomy and Terminology of Adversarial Machine Learning (Draft ...