Explainable artificial intelligence applications in cyber security: State-of-the-art in research
This survey presents a comprehensive review of current literature on Explainable Artificial
Intelligence (XAI) methods for cyber security applications. Due to the rapid development of …
Intelligence (XAI) methods for cyber security applications. Due to the rapid development of …
Model compression and hardware acceleration for neural networks: A comprehensive survey
Domain-specific hardware is becoming a promising topic in the backdrop of improvement
slow down for general-purpose processors due to the foreseeable end of Moore's Law …
slow down for general-purpose processors due to the foreseeable end of Moore's Law …
A survey on machine learning techniques for cyber security in the last decade
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
Secure and robust machine learning for healthcare: A survey
Recent years have witnessed widespread adoption of machine learning (ML)/deep learning
(DL) techniques due to their superior performance for a variety of healthcare applications …
(DL) techniques due to their superior performance for a variety of healthcare applications …
Threat of adversarial attacks on deep learning in computer vision: A survey
Deep learning is at the heart of the current rise of artificial intelligence. In the field of
computer vision, it has become the workhorse for applications ranging from self-driving cars …
computer vision, it has become the workhorse for applications ranging from self-driving cars …
Review of artificial intelligence adversarial attack and defense technologies
S Qiu, Q Liu, S Zhou, C Wu - Applied Sciences, 2019 - mdpi.com
In recent years, artificial intelligence technologies have been widely used in computer
vision, natural language processing, automatic driving, and other fields. However, artificial …
vision, natural language processing, automatic driving, and other fields. However, artificial …
Adversarial machine learning in image classification: A survey toward the defender's perspective
GR Machado, E Silva, RR Goldschmidt - ACM Computing Surveys …, 2021 - dl.acm.org
Deep Learning algorithms have achieved state-of-the-art performance for Image
Classification. For this reason, they have been used even in security-critical applications …
Classification. For this reason, they have been used even in security-critical applications …
Securing connected & autonomous vehicles: Challenges posed by adversarial machine learning and the way forward
Connected and autonomous vehicles (CAVs) will form the backbone of future next-
generation intelligent transportation systems (ITS) providing travel comfort, road safety …
generation intelligent transportation systems (ITS) providing travel comfort, road safety …
Motivating the rules of the game for adversarial example research
Advances in machine learning have led to broad deployment of systems with impressive
performance on important problems. Nonetheless, these systems can be induced to make …
performance on important problems. Nonetheless, these systems can be induced to make …
The security of machine learning in an adversarial setting: A survey
Abstract Machine learning (ML) methods have demonstrated impressive performance in
many application fields such as autopilot, facial recognition, and spam detection …
many application fields such as autopilot, facial recognition, and spam detection …