Author name: Rob Novak

In a groundbreaking study, researchers have uncovered a critical vulnerability in large language models (LLMs) that challenges existing assumptions about data poisoning attacks. The research, conducted by a team of experts from various institutions,

In the rapidly evolving landscape of artificial intelligence, large language models have become indispensable tools, demonstrating remarkable proficiency across a wide array of tasks. However, their ability to memorise training data poses significant

In the rapidly evolving landscape of artificial intelligence, the security of deep neural networks has become a paramount concern. As these networks increasingly power critical applications, the threat of stealthy backdoor attacks looms large. These

The rapid advancement of natural language processing (NLP) and large language models (LLMs) has opened new avenues for innovation across various sectors, including the military. A recent study by researchers Satu Johansson and Taneli Riihonen explore

The discovery of optical frequency combs (OFCs) has ushered in a new era of scientific and technological advancement, bridging the gap between electronics and photonics. These innovative tools have driven significant progress in precision measurement

In an era where audio large language models (LLMs) are becoming increasingly integrated into real-world applications, the issue of bystander privacy has emerged as a critical concern. Researchers Xiao Zhan, Guangzhi Sun, Jose Such, and Phil Woodland

In an era where digital forgery has reached unprecedented levels of sophistication, the threat posed by DeepFake face swapping looms large. These hyper-realistic identity forgeries have serious implications for privacy and security, prompting researc