Latest Articles for Cybersecurity

QUEEN offers real-time protection against model extraction attacks in deep learning.

Research reveals risks in multi-task speech models like Whisper.

STRIDE predicts lost variable names and types in decompiled software efficiently.

A look into how language models can leak sensitive data.

This article examines risks linked to LLMs and proposes ways to enhance safety.

A study on improving code security generated by AI models.

Exploring methods to protect privacy while sharing network data effectively.

A new framework improves federated learning while ensuring data privacy.

This approach uses self-evaluation to guard against harmful outputs in language models.

Venomancer is a stealthy backdoor attack on federated learning systems.

A detection system enhances vehicle security against cyber threats using advanced techniques.

Zero-X enhances cybersecurity for connected vehicles against emerging threats.

This research examines the effectiveness of Random Forest in detecting network anomalies.

Enhancing smart grid safety using honeypots and federated learning approaches.

Governments must enhance emergency plans for potential AI-related threats to national security.

An overview of mempool security and proposed measures to prevent eviction attacks.

AntibotV tackles bot malware threats in connected cars through advanced monitoring.

Learn how data provenance enhances security in IoT systems.

A new defense method to enhance safety in text-to-image diffusion models.

Concerns grow over backdoor attacks in language models, impacting safety and reliability.

This article examines the vulnerabilities of AI models related to future events.

A new model improves real-time detection of cyberattacks on blockchain networks.

A look at how explainability impacts ML decisions in cybersecurity.

A new method aims to mitigate load-altering attacks on distribution systems using existing infrastructure.

Addressing cyber threats to charging stations for electric vehicles.

New method improves neural network security using stochastic computing.

A method to enhance audio deepfake detection through data augmentation.

Exploring the impact of blockchain on Public Key Infrastructure.

Examine security challenges with open-source software, especially in the Go programming language.

Examine various jailbreak attacks on language models and their defenses.

An analysis of developer responses to the Log4j vulnerability and their practices.

Exploring threats to DRL systems in cyber-physical energy management.

A look into the MiniFS file system and its security concerns.

A method for securing images through advanced encryption techniques.

AFPNet offers improved detection of vulnerabilities in smart contracts using deep learning techniques.

This study focuses on removing harmful trojans in large language models using filtering techniques.

A look at modular frameworks in binary analysis tool development.

A new approach to improve security in decentralized finance protocols.

Backdoors in ML models pose serious threats to finance and healthcare.

A detailed analysis of bugs in Solidity compilers and their implications.