Abstract: Anomaly detection is valuable for real-world applications, such as industrial quality inspection. However, most approaches focus on detecting local structural anomalies while neglecting ...
Abstract: The main contribution of this work is a new approach to prompt injection detection in NLP, done by ensembling BERT with LSTMs on top of GloVe embeddings that enhance them. We first show the ...
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