Abstract: Adversarial transferability is a significant property of adversarial examples, which renders the adversarial example capable of attacking unknown models. However, the models with different ...
With rapid improvements in AI, things are quickly moving away from AI chatbots to action-driven AI agents. AI agents are ready to change our everyday lives and how we interact with services. They ...
COLORADO, USA — Colorado pioneered legalized weed. Now, researchers are trying to find ways to help people who want to cut back. University of Colorado Boulder researchers are investigating whether ...
Abstract: Physical adversarial examples (AEs) have become an increasing threat to deploying deep neural network (DNN) models in the real world. Popular approaches adopt sticking-based or ...
A new report out today from network security company Tenable Holdings Inc. details three significant flaws that were found in Google LLC’s Gemini artificial intelligence suite that highlight the risks ...
Once I wanted to understand how Depends works in FastAPI more thoroughly to understand what's under the hood. I started communicating with the AI. The answer was a question, and I got hooked. I ...
A study looking into agentic AI browsers has found that these emerging tools are vulnerable to both new and old schemes that could make them interact with malicious pages and prompts. Agentic AI ...
BB21 Plus Program, Department of Chemistry, Pukyong National University, Busan 48513, Republic of Korea ...
A new theoretical attack described by researchers with LayerX lays out how frighteningly simple it would be for a malicious or compromised browser extension to intercept user chats with LLMs and ...
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