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Found 14 papers, 8 papers with code
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures
This survey aims to fill this gap by primarily focusing on poisoning attacks and their countermeasures.
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures
As the adoption of explainable AI (XAI) continues to expand, the urgency to address its privacy implications intensifies.
A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era
Deep learning has been successfully applied to heart sound analysis in the past years.
A Comparative Study of Question Answering over Knowledge Bases
In that, we study various question types, properties, languages, and domains to provide insights on where existing systems struggle.
Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction
Advances in deep neural network (DNN) architectures have enabled new prediction techniques for stock market data.
Knowledge Transfer For On-Device Speech Emotion Recognition with Neural Structured Learning
Our experiments demonstrate that training a lightweight SER model on the target dataset with speech samples and graphs can not only produce small SER models, but also enhance the model performance compared to models with speech samples only and those using classic transfer learning strategies.
A Survey of Machine Unlearning
Specifically, as a category collection of cutting-edge studies, the intention behind this article is to serve as a comprehensive resource for researchers and practitioners seeking an introduction to machine unlearning and its formulations, design criteria, removal requests, algorithms, and applications.
Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs
Since the spread of rumours in social media is commonly modelled using feature-annotated graphs, we propose a query-by-example approach that, given a rumour graph, extracts the $k$ most similar and diverse subgraphs from past rumours.
Detecting Rumours with Latency Guarantees using Massive Streaming Data
Today's social networks continuously generate massive streams of data, which provide a valuable starting point for the detection of rumours as soon as they start to propagate.
Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis
Respiratory sound classification is an important tool for remote screening of respiratory-related diseases such as pneumonia, asthma, and COVID-19.
Incomplete Knowledge Graph Alignment
Our KG embedding framework exploits two feature channels: transitivity-based and proximity-based.
A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures
In recent years, visual forgery has reached a level of sophistication that humans cannot identify fraud, which poses a significant threat to information security.
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with numerous success stories.
Deep Learning for Deepfakes Creation and Detection: A Survey
By reviewing the background of deepfakes and state-of-the-art deepfake detection methods, this study provides a comprehensive overview of deepfake techniques and facilitates the development of new and more robust methods to deal with the increasingly challenging deepfakes.
