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Found 4 papers, 3 papers with code
Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders
Additionally, we design an adversarial training method tailored for sequential recommender systems.
Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation
Modern smart sensor-based energy management systems leverage non-intrusive load monitoring (NILM) to predict and optimize appliance load distribution in real-time.
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction
Under this setting, we propose an API-based model extraction method via limited-budget synthetic data generation and knowledge distillation.
Contrastive Domain Adaptation for Question Answering using Limited Text Corpora
Here, we train a QA system on both source data and generated data from the target domain with a contrastive adaptation loss that is incorporated in the training objective.
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