Tags → #machine learning

Industry
Intellectual Property Protection for Deep Learning Models Discussed
Nov 12, 2024 The tech industry is increasingly recognizing the critical importance of Intellectual Property protection for deep learning models and datasets amid rising concerns over unauthorized reproduction and distribution.
Tools
Machine Learning Model Enhances Intrusion Detection in SDN
Nov 12, 2024 Recent research has developed a machine-learning method for detecting infections in software-defined networking (SDN) environments, with the Gradient Boosting classifier achieving the highest accuracy and effectiveness in real-time analysis.
Vulnerabilities
New Defense Mechanism Eguard Enhances LLM Embedding Security
Nov 12, 2024 A new defense mechanism called Eguard has been proposed to enhance the security of embedding vector databases used in large language models, significantly reducing the risk of embedding inversion attacks while maintaining performance in various natural language processing tasks.
Tools
Research Examines PU Learning for DDoS Detection in Cloud Environments
Nov 12, 2024 A recent study investigates the use of Positive-Unlabeled learning to improve Distributed Denial-of-Service detection in cloud environments, utilizing a dataset with benign user activities and various DDoS attack scenarios.
Vulnerabilities
Smart-LLaMA Method Enhances Smart Contract Vulnerability Detection
Nov 12, 2024 Smart-LLaMA is a new method aimed at improving the detection of vulnerabilities in smart contracts by utilizing large language models and a comprehensive dataset.
Vulnerabilities
Study Analyzes Machine Learning for DDoS Detection in IoT
Nov 12, 2024 A recent study examines the use of machine learning models for detecting Distributed Denial of Service (DDoS) attacks in Internet of Things (IoT) networks, highlighting the vulnerabilities of these networks due to inconsistent security measures.
Vulnerabilities
Study Examines Undetectable Backdoors in Machine Learning Models
Nov 12, 2024 A recent study highlights the risks of undetectable backdoors in machine learning models, emphasizing the challenges of ensuring model integrity when training is outsourced to untrusted parties.
Vulnerabilities
Study Examines Vulnerabilities of Language Models to Attacks
Nov 12, 2024 A recent study has identified vulnerabilities in large language models to prompt injection attacks, introducing a novel attack strategy known as Goal-guided Generative Prompt Injection Attack (G2PIA).
Tools
Study Proposes Framework for Improved Deepfake Detection
Nov 12, 2024 A study by researchers in China proposes a novel framework for deepfake detection that incorporates forgery quality into the training process to improve generalization across varying deepfake qualities.
Threats
Cybersecurity Challenges in Mobility-as-a-Service Systems
Nov 11, 2024 Mobility-as-a-Service (MaaS) integrates various transportation modes into a single platform, utilizing artificial intelligence to optimize journeys while facing significant cybersecurity and privacy challenges.