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Attacking black-box recommendations via copying cross-domain user profiles
Recommender systems, which aim to suggest personalized lists of items for users, have
drawn a lot of attention. In fact, many of these state-of-the-art recommender systems have …
drawn a lot of attention. In fact, many of these state-of-the-art recommender systems have …
Jointly attacking graph neural network and its explanations
Graph Neural Networks (GNNs) have boosted the performance for many graph-related
tasks. Despite the great success, recent studies have shown that GNNs are still vulnerable to …
tasks. Despite the great success, recent studies have shown that GNNs are still vulnerable to …
Scene graph semantic inference for image and text matching
With the rapid development of information technology, image and text data have increased
dramatically. Image and text matching techniques enable computers to understand …
dramatically. Image and text matching techniques enable computers to understand …
Self-supervised deep partial adversarial network for micro-video multimodal classification
Y Li, S Liu, X Wang, P **g - Information Sciences, 2023 - Elsevier
Micro-videos have gained popularity on various social media platforms because they
provide a great medium for real-time storytelling. Although micro-videos can be naturally …
provide a great medium for real-time storytelling. Although micro-videos can be naturally …
Deep tensor CCA for multi-view learning
We present Deep Tensor Canonical Correlation Analysis (DTCCA), a method to learn
complex nonlinear transformations of multiple views (more than two) of data such that the …
complex nonlinear transformations of multiple views (more than two) of data such that the …