Abstract: Deep Neural Networks (DNNs) have recently made significant strides in various fields; however, they are susceptible to adversarial examples—crafted inputs with imperceptible perturbations ...

Abstract: Deep neural network (DNN) models have been widely used in many tasks due to their superior performance. However, DNN models are usually vulnerable to adversarial example attacks, which ...

For years, the AI community believed that larger models are naturally more secure. The logic was simple: as larger models train on an ocean of datasets, a few drops of “poisoned” samples would be too ...

Gaby Shedwick is a senior author for Collider, joining in December 2023. During her undergraduate Sociology degree at the University of Warwick, she found a real love for horror cinema, writing her ...

Third Person Shooters Former Nexon boss who took a risk on Arc Raiders says "the AAA industry is structurally at its end" and "it’s going to end in more disaster than it has already" without a ...

When business researchers analyze data, they often rely on assumptions to help make sense of what they find. But like anyone else, they can run into a whole lot of trouble if those assumptions turn ...

Parents need to know that A Normal Woman is a psychological drama from Indonesia about a socialite who contracts a mysterious disease that affects her appearance. There's some disturbing imagery and a ...

Derrick Henry and Christian McCaffrey remain fantasy football elites, but one is a safer and smarter pick in 2025—find out who should anchor your draft. Derrick Henry and Christian McCaffrey may be ...

Hybrid electric vehicles are presently the fastest-growing powertrain segment in America. With more market share than battery-only vehicles, and with Hybrid-electric vehicles adding share with each ...

Perhaps our body temperature isn’t 98.6 degrees Fahrenheit — or at least not anymore. One woman, while lying down while feeling sick, posited that on TikTok. Citing research that the more common ...

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...