Adaptive Privacy-Preserving SSD

Data remanence in NAND flash complicates complete deletion on IoT SSDs. We design an adaptive architecture offering four privacy levels PL0-PL3 that select among address, data, and parity deletion techniques. Quantitative analysis balances efficacy, latency, endurance, and cost. Machine-learning...

Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake Detection

The performance of existing audio deepfake detection frameworks degrades when confronted with new deepfake attacks. Rehearsal-based continual learning CL, which updates models using a limited set of old data samples, helps preserve prior knowledge while incorporating new information. However,...

Adversarial Machine Learning for Robust Password Strength Estimation

Passwords remain one of the most common methods for securing sensitive data in the digital age. However, weak password choices continue to pose significant risks to data security and privacy. This study aims to solve the problem by focusing on developing robust password strength estimation models...

Hijacking Large Language Models Via Adversarial In-Context Learning

In-context learning ICL has emerged as a powerful paradigm leveraging LLMs for specific downstream tasks by utilizing labeled examples as demonstrations demos in the preconditioned prompts. Despite its promising performance, crafted adversarial attacks pose a notable threat to the robustness of...

VulBinLLM: LLM-Powered Vulnerability Detection for Stripped Binaries

Recognizing vulnerabilities in stripped binary files presents a significant challenge in software security. Although some progress has been made in generating human-readable information from decompiled binary files with Large Language Models LLMs, effectively and scalably detecting vulnerabilitie...

SimProcess: High Fidelity Simulation of Noisy ICS Physical Processes

Industrial Control Systems ICS manage critical infrastructures like power grids and water treatment plants. Cyberattacks on ICSs can disrupt operations, causing severe economic, environmental, and safety issues. For example, undetected pollution in a water plant can put the lives of thousands at...

Transformers for Secure Hardware Systems: Applications, Challenges, and Outlook

The rise of hardware-level security threats, such as side-channel attacks, hardware Trojans, and firmware vulnerabilities, demands advanced detection mechanisms that are more intelligent and adaptive. Traditional methods often fall short in addressing the complexity and evasiveness of modern...

Privacy-Preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models

Prompt learning is a crucial technique for adapting pre-trained multimodal language models MLLMs to user tasks. Federated prompt personalization FPP is further developed to address data heterogeneity and local overfitting, however, it exposes personalized prompts - valuable intellectual assets - ...

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning

Privacy-Preserving Federated Learning PPFL is a decentralized machine learning approach where multiple clients train a model collaboratively. PPFL preserves privacy and security of the client's data by not exchanging it. However, ensuring that data at each client is of high quality and ready for...

ChatGPT o3 Resists Shutdown Despite Instructions, Study Claims

ChatGPT o3 resists shutdown despite explicit instructions, raising fresh concerns over AI safety, alignment, and reinforcement learning behaviors...

CVE-2025-5213

A vulnerability was found in projectworlds Responsive E-Learning System 1.0. It has been declared as critical. Affected by this vulnerability is an unknown functionality of the file /admin/deletefile.php. The manipulation of the argument ID leads to sql injection. The attack can be launched...

CVE-2025-5214

A vulnerability was found in Kashipara Responsive Online Learing Platform 1.0. It has been rated as critical. Affected by this issue is some unknown functionality of the file /courses/coursedetailusernew.php. The manipulation of the argument ID leads to sql injection. The attack may be launched...

CVE-2025-5213

A vulnerability was found in projectworlds Responsive E-Learning System 1.0. It has been declared as critical. Affected by this vulnerability is an unknown functionality of the file /admin/deletefile.php. The manipulation of the argument ID leads to sql injection. The attack can be launched...

CVE-2025-5214

A vulnerability was found in Kashipara Responsive Online Learing Platform 1.0. It has been rated as critical. Affected by this issue is some unknown functionality of the file /courses/coursedetailusernew.php. The manipulation of the argument ID leads to sql injection. The attack may be launched...

CVE-2025-5213: Improper Neutralization of Special Elements used in an SQL Command

A vulnerability was found in projectworlds Responsive E-Learning System 1.0. It has been declared as critical. Affected by this vulnerability is an unknown functionality of the file /admin/deletefile.php. The manipulation of the argument ID leads to sql injection. The attack can be launched...

A Joint Reconstruction-Triplet Loss Autoencoder Approach Towards Unseen Attack Detection in IoV Networks

Internet of Vehicles IoV systems, while offering significant advancements in transportation efficiency and safety, introduce substantial security vulnerabilities due to their highly interconnected nature. These dynamic systems produce massive amounts of data between vehicles, infrastructure, and...

DP-RTFL: Differentially Private Resilient Temporal Federated Learning for Trustworthy AI in Regulated Industries

Federated Learning FL has emerged as a critical paradigm for enabling privacy-preserving machine learning, particularly in regulated sectors such as finance and healthcare. However, standard FL strategies often encounter significant operational challenges related to fault tolerance, system...

M3S-UPD: Efficient Multi-Stage Self-Supervised Learning for Fine-Grained Encrypted Traffic Classification with Unknown Pattern Discovery

The growing complexity of encrypted network traffic presents dual challenges for modern network management: accurate multiclass classification of known applications and reliable detection of unknown traffic patterns. Although deep learning models show promise in controlled environments, their...

CVE-2025-5214 Kashipara Responsive Online Learing Platform course_detail_user_new.php sql injection

A vulnerability was found in Kashipara Responsive Online Learing Platform 1.0. It has been rated as critical. Affected by this issue is some unknown functionality of the file /courses/coursedetailusernew.php. The manipulation of the argument ID leads to sql injection. The attack may be launched...

CVE-2025-5213 projectworlds Responsive E-Learning System delete_file.php sql injection

A vulnerability was found in projectworlds Responsive E-Learning System 1.0. It has been declared as critical. Affected by this vulnerability is an unknown functionality of the file /admin/deletefile.php. The manipulation of the argument ID leads to sql injection. The attack can be launched...