Large language models (LLMs), such as ChatGPT, have demonstrated outstan...
Data-poisoning based backdoor attacks aim to insert backdoor into models...
Deep neural networks (DNNs) can be manipulated to exhibit specific behav...
Adversarial machine learning (AML) studies the adversarial phenomenon of...
The permutation flow shop scheduling (PFSS), aiming at finding the optim...
Backdoor learning is an emerging and important topic of studying the
vul...
In order to achieve a general visual question answering (VQA) system, it...
Identifying causality behind complex systems plays a significant role in...
Achieving realistic, vivid, and human-like synthesized conversational
ge...
Question answering systems usually use keyword searches to retrieve pote...
Knowledge-based Visual Question Answering (KVQA) requires external knowl...
Visual Dialogue task requires an agent to be engaged in a conversation w...
Fact-based Visual Question Answering (FVQA) requires external knowledge
...
Fact-based Visual Question Answering (FVQA) requires external knowledge
...
Evaluating the clinical similarities between pairwise patients is a
fund...