The U.S. Senate is raising fresh concerns about Chinese pilots training in U.S. flight schools as potential national security risks and an avenue for an adversary's military to gain vital insights ...

The U.S. Senate is raising fresh concerns about Chinese pilots training in U.S. flight schools as potential national security risks and an avenue for an adversary’s military to gain vital insights ...

Abstract: Adversarial Training (AT) has been shown to significantly enhance adversarial robustness via a min-max optimization approach. However, its effectiveness in video recognition tasks is ...

The release of open-weight large language models (LLMs) creates a tension between advancing accessible research and preventing misuse, such as malicious fine-tuning to elicit harmful content. Current ...

Artificial intelligence (AI) safety has turned into a constant cat-and-mouse game. As developers add guardrails to block harmful requests, attackers continue to try new ways to circumvent them. One of ...

Artificial intelligence (AI) systems can be fooled by certain image inputs. Called adversarial examples, they incorporate subtle changes to a picture that are imperceptible to humans and can be ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this work, we introduce auxiliary discriminator sequence generative adversarial ...

Ritwik is a passionate gamer who has a soft spot for JRPGs. He's been writing about all things gaming for six years and counting. No matter how great a title's gameplay may be, there's always the ...

The United States Air Force is the most advanced and innovative air force in the world. Not only does it defend the nation and its allies, it also responds to natural disasters and other humanitarian ...

Adversarial AI exploits model vulnerabilities by subtly altering inputs (like images or code) to trick AI systems into misclassifying or misbehaving. These attacks often evade detection because they ...