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

Defending SOCs Under Siege: Battling Adversarial AI Attacks

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More With 77% of enterprises already victimized by adversarial AI attacks and ...
Forbes

Adversarial Attacks On AI Systems

We are witnessing a rapid advancement of AI and its impact across various industries. However, with great power comes great responsibility, and one of the emerging challenges in the AI landscape is ...
EurekAlert!

Researchers expose vulnerability of speech emotion recognition models to adversarial attacks

Accuracies obtained by the most effective configuration of each of the seven different attacks across the three datasets. The Jacobian-based Saliency Map Attack (JSMA) was the most effective in ...
CSOonline

Researchers demo new CI/CD attack techniques in PyTorch supply-chain

The proof of concept shows it's possible to upload malicious PyTorch releases to GitHub by exploiting insecure misconfigurations in GitHub Actions. A pair of security researchers managed to infiltrate ...
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 ...
TechSpot

Complex adversarial attacks can force generative AI services to bypass security filters and limitations

Facepalm: Machine learning algorithms are the foundation of well-known products like OpenAI's ChatGPT, and people are using these new AI services to ask the weirdest things. Commercial chatbots should ...