… with some threats types. This paper first obtains the source of database security threats, as
… the papers dealing with these threats, and find that machine learning has its advantages. …

… threats in … threats and weaknesses of the Bitcoin system and its main technologies including
the blockchain protocol. Last, we discuss the current existing security studies and solutions …

… the threats and attacks faced by machine learning systems. As shown in Fig. 2, to date, all the
security threats along the life cycle of machine learning … privacy-preserving solutions [120]. …

… threats in OSNs. However, till date, no survey work has been conducted that aims to classify
and analyze various machine learning (ML)-based solutions … ML-based solutions toward …

… The problem is not limited to the threats associated with … applications and the potential threats
associated with current … ML, the potential threats to privacy, the proposed solutions, and the …

… Thus, we revisit existing security threats and give a … current defensive techniques of machine
learning into four groups: … threats and defensive techniques of machine learning, which …

… threats. Utilizing artificial intelligence (AI) expertise, especially machine and deep learning
solutions… , which is built on machine and deep learning technologies that extract insights from …

… With the increasing sophistication of cyber threats, the integration of machine learning (ML)
techniques in network security has become imperative for detecting and mitigating evolving …

… surrounding data privacy, algorithm bias, and transparency necessitate careful scrutiny to
ensure the responsible and ethical deployment of AI-driven cybersecurity solutions. In light of …

… We discuss threat model of IoT networks in Section III. In Section IV, we discuss the role
of ML in the IoT networks and briefly review different ML and DL techniques. We survey the …