SoK: Game-Theoretic Cybersecurity: Assumptions, Models, Gaps, and Bridges
This article delves into the application of game theory in studying cyber attacker and defender behaviors. It…
A V2X-based Privacy Preserving Federated Measuring and Learning System
This paper proposes a system that utilizes Vehicle-to-Everything (V2X) technology for autonomous vehicles to exchange data and…
Embedding Attack Project (Work Report)
This academic report by Jiameng Pu and Zafar Takhirov summarizes the Membership Inference Attacks (MIA) experiments of…
Sparse and Transferable Universal Singular Vectors Attack
The paper introduces a new kind of adversarial attack on machine learning models, specifically neural networks. It…
AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System of Autonomous Vehicles
The study focuses on the development of an attack-resilient Generative Adversarial Network (AR-GAN) for traffic sign classification…
5G Network Security Practices: An Overview and Survey
The article provides a comprehensive overview of 5G network security, detailing various elements of the 5G core…
PQCMC: Post-Quantum Cryptography McEliece-Chen Implicit Certificate Scheme
This article discusses the vulnerability of elliptic-curve cryptography (ECC) to polynomial-time attacks by quantum computing. It suggests…
Local Privacy-preserving Mechanisms and Applications in Machine Learning
This study by Likun Qin and Tianshuo Qiu provides an in-depth analysis of Local Differential Privacy (LDP)…
A tabu search-based LED selection approach safeguarding visible light communication systems
This research looks at the security performance of a single-input single-output visible light communication (VLC) channel in…
Randomized Response with Gradual Release of Privacy Budget
The paper presents an algorithm that relaxes the Differential Privacy (DP) guarantee of a randomized response gradually….