Latest Articles for Cybersecurity

This article examines improvements in blockchain Layer 2 solutions for scalability and security.

Learn how debloating improves software performance and security by removing unnecessary code.

This study focuses on improving detection of deepfake audio using advanced methods.

A new method tackles hidden threats in large language models.

Learn about cryptography's role in securing information and protecting privacy.

QFHE allows computations on encrypted data for enhanced privacy and security.

How federated learning faces privacy threats while striving for data security.

Addressing the challenges of E2EE and account recovery methods.

A new method helps keep private data safe in language models.

Introducing FC-EM to protect 3D point cloud data from unauthorized access.

New framework effectively identifies power overloading attacks in smart grid systems.

This article discusses DRAM read disturbance and innovative management techniques.

A study evaluating the effectiveness of LLMs in spotting Android app vulnerabilities.

A system to prevent attacks on Java applications by using a class allowlist.

This paper presents a new DNN-based IDS in programmable networks.

PUFs provide unique identities for secure communication in connected devices.

GRACE offers enhanced methods for detecting DeepFake videos amidst challenging conditions.

A new tool improves identification of software authors through code analysis.

Investigating methods to reduce differences in behavior between probabilistic systems.

Examining risks and defenses against backdoor attacks in AI models.

As vehicles become smarter, protecting them from cyber threats is essential.

Research reveals language models struggle with false reasoning, raising safety concerns.

This article discusses the importance of secure software updates for CubeSats.

Code poisoning enhances risks of membership inference attacks on sensitive data.

Examining vulnerabilities from clean-label backdoor attacks and how generalization bounds can help.

A new method improves user prompts for safer and more effective language model outputs.

An overview of Quantum Key Distribution methods and their security implications.

Research shows how easily safety features can be removed from Llama 3 models.

Examining the need for formal verification in object detection technology.

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.