From data poisoning to prompt injection, threats against enterprise AI applications and foundations are beginning to move from theory to reality.
The Steacie Prize is awarded to a person 40-years-old or younger, who has made notable contributions to research in Canada ...
The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning ...
The study, titled Conditional Adversarial Fragility in Financial Machine Learning under Macroeconomic Stress, published as a ...
Hacking the planet with florid verse. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Today, I have a new favorite phrase: "Adversarial poetry." ...
Abstract: Adversarial phenomena have been widely observed in machine learning (ML) systems, especially those using deep neural networks. These phenomena describe situations where ML systems may ...
Abstract: Adversarial examples can assess the robustness of machine learning models, which has attracted the attention of many researchers to adversarial example generation methods. Transferability ...
The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
ABSTRACT: To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating ...
ABSTRACT: The rapid proliferation of the Internet of Things (IoT) and Industrial IoT (IIoT) has revolutionized industries through enhanced connectivity and automation. However, this expansion has ...
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