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 ...
University of Geneva

Defending against adversarial attacks by randomized diversification

The chain of the first 3 blocks can be organized in a parallel multi-channel structure that is followed by one or several aggregation blocks. The final decision about the class is made based on the ...
Concordia University

Invited Speaker Seminar - Adversarial Machine Learning Attacks on RF Signal Classifiers

Machine learning (ML) has recently been applied for the classification of radio frequency (RF) signals. One use case of interest relates to the discernment between different wireless protocols that ...
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 ...
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 ...
VentureBeat

New NIST report sounds the alarm on growing threat of AI attacks

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The National Institute of Standards and Technology (NIST) has released an ...
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) ...
The Globe and Mail

Microsoft and MITRE Create Tool to Help Security Teams Prepare for Attacks on Machine Learning Systems

Microsoft and MITRE have developed a plug-in that combines several open-source software tools to help cybersecurity professionals better prepare for attacks on machine learning (ML) systems. “Bringing ...
Devdiscourse

Cyber threat intelligence must evolve to protect AI systems

According to the researchers, the ultimate goal is to build a comprehensive cyber threat intelligence ecosystem for artificial intelligence systems. Such a system would allow security tools to scan AI ...
Security Boulevard

Model Inversion Attacks: Growing AI Business Risk

In an era where artificial intelligence (AI) and machine learning (ML) are driving unprecedented innovation and efficiency, a ...