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Existing ransomware detection methods only check for "ripple effects" of encryption, but this new approach statistically guarantees detection of the avalanche effect itself, even in the face of obfuscation.
Injecting user history into a BERT model trained on GAN and LLM-augmented data unlocks state-of-the-art Chinese sarcasm detection.
