Traditional detection methods like keyword searches on e-commerce platforms are being outpaced by new evasive techniques.
Abstract: As vehicles have become increasingly connected and intelligent, attacks against in-vehicle networks (IVNs) are becoming more prevalent and pose a great threat to vehicle security and ...
A new report reveals hackers are shifting tactics to target humans in scams, and it's working. See who's most at risk from Clickfix attacks.
Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
Quantum networks are revolutionizing the search for dark matter by offering unprecedented precision. According to a recent ...
Abstract: This study aims to compare the performance of five different models for spelling error detection, a crucial task in natural language processing. In this ...
Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of quantization ...
Background: Multiple sclerosis is an inflammatory demyelinating disease of the CNS. Annual MRI exams are crucial for disease monitoring. Interpreting high T2/FLAIR lesion loads can be laborious. AI ...
School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University, Nanjing 210023, China School ...