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Found 6 papers, 0 papers with code
A Survey and Perspective on Artificial Intelligence for Security-Aware Electronic Design Automation
Artificial intelligence (AI) and machine learning (ML) techniques have been increasingly used in several fields to improve performance and the level of automation.
RNNIDS: Enhancing Network Intrusion Detection Systems through Deep Learning
In this regard, for the first time, we demonstrate that RNNs are helpful to generate new, unseen mutants of attacks as well as synthetic signatures from the most advanced malware to improve the intrusion detection rate.
Physically Unclonable Functions and AI: Two Decades of Marriage
The current chapter aims at establishing a relationship between artificial intelligence (AI) and hardware security.
Artificial Neural Networks and Fault Injection Attacks
This chapter is on the security assessment of artificial intelligence (AI) and neural network (NN) accelerators in the face of fault injection attacks.
Attack of the Genes: Finding Keys and Parameters of Locked Analog ICs Using Genetic Algorithm
We also discuss how the GA attack can generalize to other recent analog locking techniques not tested in the paper
Hardware Trust and Assurance through Reverse Engineering: A Survey and Outlook from Image Analysis and Machine Learning Perspectives
In the context of hardware trust and assurance, reverse engineering has been often considered as an illegal action.
