EurekAlert!

Streaming algorithms for triangle counting: adversarial robustness and the weighted case

Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This ...
EurekAlert!

A prompt-based approach to adversarial example generation and robustness enhancement

Recent years have seen the wide application of NLP models in crucial areas such as finance, medical treatment, and news media, raising concerns about the model robustness. Existing methods are mainly ...
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 ...
VentureBeat

When is ART useful? When it’s IBM’s Adversarial Robustness Toolbox for AI

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More IBM is hoping to advance the state of the art for artificial intelligence ...
VentureBeat

Baidu details its adversarial toolbox for testing robustness of AI models

Are you ready to bring more awareness to your brand? Consider becoming a sponsor for The AI Impact Tour. Learn more about the opportunities here. No matter the claimed robustness of AI and machine ...
ZDNet

IBM launches open-source library for securing AI systems

On Tuesday at the RSA conference in San Francisco, IBM announced the launch of the Adversarial Robustness Toolbox to support developers and users of AI that may become the victims of attacks against ...