CSO Online

NIST’s AI guidance pushes cybersecurity boundaries

Emerging NIST guidance suggests that the long-standing practice of treating AI as “just software” for cybersecurity purposes is giving way to more novel approaches to managing AI risks.
Amazon S3 on MSN

A giant fish surprise completely catches a dog off guard

Funny beagle Maymo gets a surprise when his owner lowers a giant plush fish into the living room, scaring the cute dog off ...

CORRECTING AND REPLACING: SCYTHE and Starseer Announce Strategic Partnership to Secure Enterprises Against AI-Driven and Agentic Workflow Attacks

SCYTHE, the leading provider of Adversarial Exposure Validation (AEV) and continuous security control testing, and Starseer, a pioneer in AI Runtime Assurance and Detection Engineering, today ...
TMCnet

SCYTHE and Starseer Announce Strategic Partnership to Secure Enterprises Against AI-Driven and Agentic Workflow Attacks

SCYTHE, the leading provider of Adversarial Exposure Validation (AEV) and continuous security control testing, and Starseer, a pioneer in AI Runtime Assurance and Detection Engineering, today ...
Devdiscourse

How asking one question can make AI more trustworthy

From a policy perspective, the study suggests that prompt design should be treated as a core component of AI safety, not a ...
IEEE

Neeko: Model Hijacking Attacks Against Generative Adversarial Networks

Abstract: Generative models have garnered significant interest in the realm of machine learning but are costly to produce and face growing regulatory constraints, requiring resource-heavy training and ...
GitHub

AntiDote: Bi-level Adversarial Training for Tamper-Resistant LLMs

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 ...

Researchers broke every AI defense they tested. Here are 7 questions to ask vendors.

Researchers from OpenAI, Anthropic, and Google DeepMind found that adaptive attacks bypassed 12 AI defenses that claimed near ...
EurekAlert!

An innovative set-level adversarial learning method to improve domain adaptation

Domain adaptation remains a significant challenge in artificial intelligence, especially when models trained in one domain are required to perform well in another.
EurekAlert!

Stress-testing AI vision systems: Rethinking how adversarial images are generated

Adversarial examples—images subtly altered to mislead AI systems—are used to test the reliability of deep neural networks.
IEEE

Addressing Adversarial Attacks in IoT Using Deep Learning AI Models

Abstract: Adversarial attacks, specialized attacks, pose a severe threat to AI model performance in various applications, including the Internet of Things (IoT). Various defense mechanisms have been ...
Wall Street Journal

Mexico Is Acting Like an Adversary to the U.S.

Free Expression: In reality the Maduros' removal from Venezuela was a superbly executed act of strategic opportunism that removed a vexing enemy, and it's a myth to suggest 'Operation Absolute Resolve ...