تصفح حسب الموضوع "Adversarial machine learning"
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Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Deep reinforcement learning (DRL) has numerous applications in the real world, thanks to its ability to achieve high performance in a range of environments with little manual oversight. Despite its great advantages, DRL ... -
Security concerns on machine learning solutions for 6G networks in mmWave beam prediction
( Elsevier B.V. , 2022 , Article)6G – sixth generation – is the latest cellular technology currently under development for wireless communication systems. In recent years, machine learning (ML) algorithms have been applied widely in various fields, such ... -
Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study
( Elsevier , 2023 , Article)The use of artificial intelligence (AI) at the edge is transforming every aspect of the lives of human beings from scheduling daily activities to personalized shopping recommendations. Since the success of AI is to be ...