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The rise and potential of large language model based agents: A survey
Z ** future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges
As the globally increasing population drives rapid urbanization in various parts of the world,
there is a great need to deliberate on the future of the cities worth living. In particular, as …
there is a great need to deliberate on the future of the cities worth living. In particular, as …
Trustworthy ai: A computational perspective
In the past few decades, artificial intelligence (AI) technology has experienced swift
developments, changing everyone's daily life and profoundly altering the course of human …
developments, changing everyone's daily life and profoundly altering the course of human …
BERT: a review of applications in natural language processing and understanding
MV Koroteev - arxiv preprint arxiv:2103.11943, 2021 - arxiv.org
In this review, we describe the application of one of the most popular deep learning-based
language models-BERT. The paper describes the mechanism of operation of this model, the …
language models-BERT. The paper describes the mechanism of operation of this model, the …
Label-only membership inference attacks
Membership inference is one of the simplest privacy threats faced by machine learning
models that are trained on private sensitive data. In this attack, an adversary infers whether a …
models that are trained on private sensitive data. In this attack, an adversary infers whether a …
Structure invariant transformation for better adversarial transferability
Given the severe vulnerability of Deep Neural Networks (DNNs) against adversarial
examples, there is an urgent need for an effective adversarial attack to identify the …
examples, there is an urgent need for an effective adversarial attack to identify the …
Deep transfer learning for automatic speech recognition: Towards better generalization
Automatic speech recognition (ASR) has recently become an important challenge when
using deep learning (DL). It requires large-scale training datasets and high computational …
using deep learning (DL). It requires large-scale training datasets and high computational …
Adversarial glue: A multi-task benchmark for robustness evaluation of language models
Large-scale pre-trained language models have achieved tremendous success across a
wide range of natural language understanding (NLU) tasks, even surpassing human …
wide range of natural language understanding (NLU) tasks, even surpassing human …