AI Framework Catches Phishing Links and Explains Its Reasoning to Analysts
Researchers have built a phishing detection framework that pairs a lightweight hybrid deep learning model with LIME and SHAP explanations ...
Researchers have built a phishing detection framework that pairs a lightweight hybrid deep learning model with LIME and SHAP explanations ...
Cornell researchers present a comprehensive framework for managing and protecting veterinary oncology patient data as artificial intelligence transforms cancer care ...
Researchers have demonstrated a switchable backdoor attack that injects dual tokens through the layers of Vision Transformers, achieving up to ...
Researchers enhanced the Harris Hawks Optimizer with Latin Hypercube Sampling and Gaussian crossover to cut memory-based malware features from 55 ...
Researchers have developed GCC-LDP, a locally differentially private clustering method that uses Re-Pair graph compression and a two-round aggregation framework ...
Researchers have developed ADLM-TiM, a hybrid deep learning and Transformer model that detects advanced persistent threats in highly imbalanced network ...
Researchers have built PwnAgent, a multi-agent AI framework that combines structured hacking knowledge with live debugger feedback to automatically write ...
Researchers in India have built a multimodal deep learning framework that fuses text, images and browsing behavior to classify dark ...
Researchers have developed LATM, a lightweight trust-scoring framework that evaluates V2X messages using six plausibility parameters and a 0.64 threshold ...
Researchers at the University of Alicante have developed a two-stage detection system combining Shannon entropy analysis with deep learning to ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine