A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...
Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National ...
Chinese AI models have priced their APIs 5–10x lower than those of Anthropic and OpenAI. But is that sustainable? Chinese AI models are significantly underpricing their APIs compared to US ...
Researchers at the University of Notre Dame have developed a new open-source toolkit intended to make iris recognition technology more transparent, easier to test, and more accessible to academic ...
When patching isn’t fast enough, NDR helps contain the next era of threats. If you’ve been tracking advancements in AI, you know the exploit window, the short buffer that organizations relied on to ...
Creativity used to be the exclusive domain of humans—artists, writers, and engineers create. They receive help from sophisticated tools, which themselves were created by, and typically could be ...
Threat actors are testing malware that incorporates large language models (LLMs) to create malware that can evade detection by security tools. In an analysis published earlier this month, Google's ...
Detection as code (DaC) is a powerful way for security teams to streamline rule development, automate threat detection, and respond to attacks with greater speed and precision. The DaC approach ...
To fix the way we test and measure models, AI is learning tricks from social science. It’s not easy being one of Silicon Valley’s favorite benchmarks. SWE-Bench (pronounced “swee bench”) launched in ...
We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...
Abstract: Software vulnerabilities pose significant security threats to modern systems, particularly those involving complex execution sequences and intricate call relationships across multiple ...
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