A new approach to improve intrusion detection using machine learning.
― 6 min read
Cutting edge science explained simply
A new approach to improve intrusion detection using machine learning.
― 6 min read
Exploring challenges and advancements in protecting sensitive data while maintaining its usefulness.
― 9 min read
A new framework enhances security and efficiency in distributed machine learning.
― 10 min read
BoostCom speeds up comparison tasks in FHE, improving efficiency for encrypted data.
― 5 min read
Data-driven techniques must protect privacy while identifying the best options.
― 6 min read
The challenge of combining differential privacy with sublinear algorithms in data analysis.
― 7 min read
A new framework improves password manager interactions for safer online access.
― 4 min read
A look at federated learning combining differential privacy and blockchain for data security.
― 6 min read
A new framework controls in-context learning to prevent misuse in AI models.
― 8 min read
This study reveals how non-adversarial attacks impact knowledge graph embedding algorithms.
― 7 min read
A new framework evaluates methods for anonymizing biometric data to enhance privacy.
― 5 min read
Examining deep learning's impact on watermarking techniques and security challenges.
― 4 min read
New methods aim to secure machine learning models against backdoor threats.
― 4 min read
A new method for efficient data deduplication in federated learning.
― 3 min read
A new model improves data privacy while enhancing machine learning accuracy.
― 7 min read
Learn how to protect sensitive commitments from eavesdroppers.
― 6 min read
A study revealing security flaws in popular mobile payment applications.
― 6 min read
Exploring user-level differential privacy in large language model training.
― 4 min read
Exploring the benefits of Federated Learning for anomaly detection in IoT networks.
― 7 min read
Study reveals how 5G data patterns can expose user activity.
― 6 min read
New models help developers, but backdoor attacks pose serious security risks.
― 8 min read
A look at federated learning’s privacy and integrity challenges and solutions.
― 5 min read
A new method merges LLMs with traditional disassembly techniques for effective analysis.
― 5 min read
A unified TEE design improves CPU and NPU collaboration for secure computing.
― 6 min read
Tackling data contamination for better cybersecurity and anomaly detection systems.
― 5 min read
Combining neural networks with cryptography enhances secure communication methods.
― 5 min read
A system for using chatbots anonymously while protecting user identity.
― 6 min read
A new framework enhances testing efficiency and bug detection in cryptographic libraries.
― 7 min read
New methods tackle privacy risks in human movement data prediction.
― 6 min read
Exploring the digital shift and its impact on maritime cybersecurity.
― 4 min read
This article discusses the significance of hashing algorithms in blockchain technology.
― 5 min read
A fresh method to compare privacy mechanisms in machine learning.
― 6 min read
Research reveals automated methods to track web censorship effectively.
― 6 min read
Examining the vulnerability of neural networks to small input changes.
― 7 min read
New methods improve black-box attacks using unlabeled data for machine learning.
― 4 min read
Exploring vulnerabilities present in code generated by language models.
― 6 min read
A novel approach to enhance security in federated learning against backdoor attacks.
― 5 min read
CEIPA helps uncover vulnerabilities in large language models to enhance their safety.
― 6 min read
A look into collective remote attestation and its impact on IoT device security.
― 6 min read
A look at synthetic data generation for urban mobility and privacy challenges.
― 6 min read