In this work we develop a novel Bayesian neural network methodology to achieve strong
adversarial robustness without the need for online adversarial training. Unlike previous efforts …

… propose a proactive defense framework that leverages a … defense strategies. Our proposed
approach incorporates proactive defense mechanisms that combine Moving Target Defense …

… These limitations form part of our future research directions. In a database system, when
there is a database failure, typically the rollback mechanism kicks in and the current transaction …

… the adversarial robustness of object detection models through the utilization of ensemble
methods. The proposed approach uses a novel diversity training strategy to reduce the attack …

… work directions. The aim of this paper is to provide the overall trends of MTD research in terms
of critical aspects of defense … through an expert opinion survey. They contacted 120 cyber …

… diversity, and transparency. Realizing the potential research signiicance, some researchers
critically analyzed academic literature through diverse … up their research directions regarding …

… defense communication systems. Additionally, we present several future research directions
for BLOS communication in defense … flight paths for UAVs navigating through combat zones, …

… This paper presents a comprehensive review of 23 seminal studies that explore the
deployment of AI in spear phishing defense. Through this review, we aim to provide a holistic …

… and an attacker entity for diversity defense strategy, such as … effectiveness of a moving target
defense through low-level (OS … We list some of the future research directions following the …

… Within each “update step”, the merged gradient direction is determined through the combination
… The output logits of the defense model are passed through a sigmoid activation to get a …