ActDroid: An active learning framework for Android malware detection
The research paper presents an active learning framework for Android malware detection called ActDroid. With the growing…
Randomized Key Encapsulation/Consolidation
The article proposes a new method of key encapsulation and consolidation that enhances security by incorporating randomness…
Finetuning Large Language Models for Vulnerability Detection
The article presents the results of fine-tuning large language models (LLMs) to detect vulnerabilities in source code….
Systematically Assessing the Security Risks of AI/ML-enabled Connected Healthcare Systems
The paper explores the increasing security risks associated with the use of AI and machine learning in…
Game-Theoretic Unlearnable Example Generator
This paper discusses unlearnable example attacks, which are data poisoning attacks that aim to degrade the accuracy…
Privacy-preserving data release leveraging optimal transport and particle gradient descent
The paper presents a new approach, PrivPGD, for differentially private data synthesis of protected tabular datasets, an…
How to Measure TLS, X.509 Certificates, and Web PKI: A Tutorial and Brief Survey
This academic article is a tutorial and brief survey on how to measure Transport Layer Security (TLS)…
Decentralized Federated Learning: A Survey on Security and Privacy
The article explores the concept of decentralized federated learning, a rapidly evolving method that offers privacy-preserving features….
A Preliminary Study on Using Large Language Models in Software Pentesting
This research investigates the use of large language models (LLMs) in software penetration testing (pentesting) to identify…
Post-Quantum Cryptography for Internet of Things: A Survey on Performance and Optimization
This paper discusses the implications of quantum computing on modern cryptography, focusing on the Internet of Things…