Latest Articles for Cybersecurity

Examining the dangers of quantized language models and their potential misuse.

Fast-FedUL provides quick data removal methods for federated learning while ensuring privacy.

This article examines security risks of backdoor attacks on machine learning in graph systems.

A new approach enhances the effectiveness of attacks on safety-focused language models.

This article assesses the effectiveness of visual similarity models against phishing attacks.

A fresh approach to keeping sensitive graph data safe online.

DiveR-CT improves automated red teaming for better safety assessments.

A study on the effectiveness of libraries parsing X.509 certificates.

Learn how quantum technology protects private communication.

A review of network analysis methods to combat money laundering.

A look into the security challenges and solutions for hardware in the cloud.

New methods combat backdoor attacks on machine learning models for increased security.

Examining the challenges and solutions in LLM watermarking to prevent misuse.

A study on security flaws in smart contract address verification and a proposed detection method.

A new benchmark for assessing LLMs in cybersecurity tasks.

Discover key methods and applications of anomaly detection in changing data structures.

Examining client contributions and vulnerabilities in federated learning systems.

New cryptographic methods are vital for protecting data against quantum threats.

Examining harmful extensions in the Chrome Web Store and how to detect them.

This approach improves function comparison in software through call graphlets.

LayerCAM-AE enhances detection of malicious updates in federated learning while preserving data privacy.

Combining NIDS with Neurosymbolic AI improves threat detection and system understanding.

Analyzing vulnerabilities in the SAE J1939 protocol for commercial vehicles.

Two innovative techniques improve adversarial attacks on tabular data models.

Examining the risks and misuse of large language models in cybercrime.

Addressing security challenges in AI agents for safer interactions.

New methods improve language model predictions under varying input conditions.

ECHO improves network traffic classification through machine learning techniques.

BISON offers a way to log in securely while protecting user identities.

Introducing PrivacyRestore to protect user data while using large language models.

Explore the privacy challenges posed by inference attacks in machine learning models.

A new method for identifying vulnerabilities in Android applications' native code.

FACOS offers a secure way to manage sensitive data using blockchain technology.

Learn about face anti-spoofing systems and their importance in digital security.

Learn about fuzzing techniques to enhance web application security.

Exploring the challenges of GNN explainers under adversarial attacks in critical applications.

A new design combines quantum key distribution with Tor for better online privacy.

New attack method raises concerns about privacy in document understanding models.

Uncovering the risks posed by backdoor attacks on intelligent systems.

New methods like PromptFix help secure language models from hidden threats.