GovInfoSecurity

Malware Developers Test AI for Adaptive Code Generation

Malware authors are experimenting with a new breed of artificial intelligence-driven attacks, with code that could ...

Google warns of new AI-powered malware families deployed in the wild

Google's Threat Intelligence Group (GTIG) has identified a major shift this year, with adversaries leveraging artificial ...
IEEE

Cyber-Physical Attack Detection in Additive Manufacturing: An LSTM-Based Autoencoder Approach Using Reconstruction Error Analysis from Side-Channel Monitoring

Abstract: In order to identify cyber-physical threats in additive manufacturing systems, this study suggests a sophisticated technique that uses data from side-channel monitoring. Strong attack ...
CPO Magazine

OpenAI: Foreign Adversaries Using Multiple AI Tools to Optimize Existing Hacking Approaches

While there have been some recent developments in the use of AI tools to create malware and automate breaches from start to finish, the latest quarterly threat report from OpenAI finds that foreign ...
C&EN

Deep Learning-Assisted Lens-Free Holography Integrated Pd Nanozyme-Armed Phages for the Rapid and Extraction-Free Detection of Viable Bacteria

College of Informatics, Huazhong Agricultural University, Wuhan, Hubei 430070, China ...
IEEE

Depression Detection Through EEG Signal Analysis: A Convolutional Autoencoder Deep Learning Model

Abstract: Depression is a debilitating and enervating mental health disorder that requires attention for necessitating accurate and efficient diagnostic techniques ...