Adversarial machine learning -- An Improved (Adversarial) Reprogramming Technique for Neural Networks -- Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons -- How to compare adversarial robustness of classifiers from a global perspective -- Multiple-Model based Defense for Deep Reinforcement Learning against Adversarial Attack -- Neural Paraphrase Generation with Multi-Domain Corpus -- Leveraging Adversarial Training to Facilitate Grammatical Error Correction -- Statistical Certification of Acceptable Robustness for Neural Networks -- Model Extraction and Adversarial Attacks on Neural Networks using Switching Power Information -- Anomaly detection -- o 0097 - CmaGraph: A TriBlocks Anomaly Detection Method in Dynamic Graph Using Evolutionary Community Representation Learning -- Falcon: Malware Detection and Categorization with Network Traffic Images -- Attention-based Bi-LSTM for Anomaly Detection on Time-Series Data -- Semi-supervised Graph Edge Convolutional Network for Anomaly Detection -- Feature Creation Towards the Detection of Non-Control-Flow Hijacking Attacks -- Attention and transformers I -- An Attention Module for Convolutional Neural Networks -- Attention-based 3D neural architectures for predicting cracks in designs -- Entity-aware Biaffine Attention for Constituent Parsing -- Attention-based Multi-View Feature Fusion for Cross-Domain Recommendation -- Say in Human-like Way: Hierarchical Cross-modal Information Abstraction and Summarization for Controllable Captioning -- DAEMA: Denoising Autoencoder with Mask Attention -- Spatial-Temporal Traffic Data Imputation via Graph Attention Convolutional Network -- EGAT: Edge-Featured Graph Attention Network -- Attention and transformers II -- Knowledge Graph Enhanced Transformer for Generative Question Answering Tasks -- GAttANet: Global attention agreement for convolutional neural networks -- Classification Models for Partially Ordered Sequences -- TINet: Multi-dimensional Traffic Data Imputation via Transformer Network -- Sequential Self-Attentive model for Knowledge Tracing -- Multi-Object Tracking based on Nearest Optimal Template Library -- TSTNet: A Sequence to Sequence Transformer Network for Spatial-temporal Traffic Prediction -- Audio and multimodal applications -- A multimode two-stream network for egocentric action recognition -- Behavior of Keyword Spotting Networks Under Noisy Conditions -- Robust Stroke Recognition via Vision and IMU in Robotic Table Tennis -- AMVAE: Asymmetric Multimodal Variational Autoencoder for Multi-view Representation -- Enhancing Separate Encoding with Multi-layer Feature Alignment for Image-Text Matching -- Bird Audio Diarization with Faster R-CNN -- Multi-Modal Chorus Recognition for Improving Song Search -- FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection -- Bioinformatics and biosignal analysis -- Identification of Incorrect Karyotypes Using Deep Learning -- A Metagraph-Based Model for Predicting Drug-Target Interaction on Heterogeneous Network -- Evaluating Multiple-Concept Biomedical Hypotheses Based on Deep Sets -- A Network Embedding Based Approach to Drug-Target Interaction Prediction Using Additional Implicit Networks -- Capsule networks -- CNNapsule: A Lightweight Network with Fusion Features for Monocular Depth Estimation -- Learning Optimal Primary Capsules by Information Bottleneck -- Capsule Networks with Routing Annealing -- Training Deep Capsule Networks with Residual Connections -- Cognitive models -- Interpretable Visual Understanding with Cognitive Attention Network -- A Bio-Inspired Mechanism Based on Neural Threshold Regulation to Compensate Variability in Network Connectivity -- A Predictive Coding Account for Chaotic Itinerancy -- A Computational Model of the Effect of Short-Term Monocular Deprivation on Binocular Rivalry in the Context of Amblyopia -- Transitions among metastable states underlie context-dependent working memories in a multiple timescale network.