An adaptive network-based approach for advanced forecasting of cryptocurrency values
The article, published in the International Journal of Computer Science & Information Technology, discusses a method for…
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning
This paper introduces Brave, a protocol that ensures Byzantine resilience and privacy-preserving property for Peer-to-Peer (P2P) Federated…
When eBPF Meets Machine Learning: On-the-fly OS Kernel Compartmentalization
The paper presents O2C, a system designed to enforce OS kernel compartmentalization on the fly using the…
Cross-Inlining Binary Function Similarity Detection
This paper delves into the area of binary function similarity detection, which is crucial in various security…
BEC: Bit-Level Static Analysis for Reliability against Soft Errors
This article is about soft errors, which are transient corruptions of digital signals in hardware components. The…
Binary Linear Tree Commitment-based Ownership Protection for Distributed Machine Learning
The study discusses the development of a unique binary linear tree commitment-based ownership protection model for distributed…
Optimized Ensemble Model Towards Secured Industrial IoT Devices
The article by MohammadNoor Injadat discusses a proposed framework for improving the detection of intrusions and attacks…
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
The article explores the possibility of AI systems learning deceptive behavior and maintaining this behavior despite safety…
SENet: Visual Detection of Online Social Engineering Attack Campaigns
The article discusses the development of SEShield, a framework designed to detect social engineering (SE) attacks in-browser….
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
The paper discusses the application of Graph Neural Networks (GNNs) in bolstering defensive cyber operations. With the…