Vague2Detect: Handling Ambiguous Prompts in Knowledge-Based Open-World Detection

Enhanced Carbon Emission Prediction in IoT using Optimized Rotation-Invariant Coordinate Convolutional Neural Network for Accurate Urban Environmental Monitoring

Not Just Accuracy: Consistency and Reliability as Core Factors in LLM Evaluation

Web-Search-Integrated RAG for Resource-Constrained Environments: A Small-Model Approach

Hybrid GCN?GRU Model for Anomaly Detection in Cryptocurrency Transactions

BaSTion: Backdoor Style Trigger Identification Method via GANs and Style Transfer Networks

Advancing Prehypertension Screening with Explainable AI and Generative Augmentation

Strong Detection, Short Text: A Four-Class Framework for Human-AI Authorship

CollaG: Secure and Efficient Collaborative Cloud-Assisted Garbled Circuits

MiniSketch-VQA: A Benchmark for Evaluating LLM-as-a-Judge in Sketch-based Visual Question Answering

The Survey of Jailbreak Attacks on Large Language Models and Defenses

Mitigating Label Inference Attacks in Vertical Federated Split Learning through Training Control and Gradient Disturbance

Model Extraction Attack Leveraging Fractal Images on Color Image Classification Tasks

Applying AI Modeling Attacks as Assessment Tool for Analog PUF-Based Authentication Protocol Evaluation

Mitigating Data Poisoning Attack in On-Device Learning Anomaly Detectors via Peer Consensus

PRISM: Prompt Risk Scoring via Interpretable Semantic Mapping for NSFW Defense

Context-Aware Safety Report Classification via Large Language Models and Dynamic Knowledge Graphs

H-IDE : Hardware Interleaving for Deterministic Encryption to Mitigate Ciphertext Side-Channel Attacks

HieraText: Unsupervised Multi-Label Hierarchical Text Classification through Adaptive Clustering

An Intra-ciphertext Optimization for Efficient Multi-device Bootstrapping for HE-DNNs

Automated Vulnerability Repair based on Language Agent Tree Search

Calypso: A Compiler-Runtime Framework for Configurable Kernel Support in CXL-PNM

Data Reconstruction Attacks against Privacy Preserving Vertical Federated Learning

Multimodal Pain Intensity Assessment from Physiological Signals: Window Segmentation with Cross-Attention and Temporal Modeling

OpenScore: An Agent-Based Framework for Automated Evaluation of AI Model Transparency

Efficient Evaluation of Indicator Function with Fully Homomorphic Encryption for Privacy-Preserving Embedding

Design and Implementation of a Timing Monitoring System for Real-Time Assurance based on AUTOSAR Timing Protection

Multi-Resolution Speckle Priors for Scale-Aware Digital Image Correlation

Grasle: Graph-level Scheduling Language and Framework for Deep Neural Network

The Dual-Edged Sword of Instruction Tuning: An Empirical Study on Precision Gains and Catastrophic Failures

ARS-FL-IDS: Accountable Anonymous Federated Learning Against Malicious Behavior

Fine-Tuning Large Language Models for Malicious Package Detection

Hall Sensor-based Ellipse Fitting for Non-Contact Ball Joint Position Estimation (short)

Blockchain-Based Smart Contract Revocable Bidding Scheme for European Union Emissions Trading Scheme

Efficient Batch Verifications for KZG Commitments

Performance Bottleneck Analysis and Technical Debt in a Non-Standard Hyperledger Fabric CLI Gateway Architecture

Accelerating ONNX Runtime Inference Through Tiling and IO-Binding based Model Design

Spatial-Temporal Graph Neural Networks for Non-Emergency Reports: A Case Study

Evaluating Emoji Sequence Generation in Small Language Models

Blockchain-Assisted Resource Scheduling for SB-SPS in V2X Networks (short)

Service-aware Resource Management in Cloud computing for HPC workload (short)

Empowering LLM-based Malware Analysis with Synthetic Code

Design and Implementation of KI Cloud R&D Platform for HPC Workloads

{MaquillAI: Generative AI for Personalized Makeup Tutorial (short)

Variables for Free: Breaking MAYO via Valid Solutions

Security-Native Context Awareness Based Zero Trust Architecture for Digital Identity and Sovereignty

Enhancing Time-Series Predictions through Social Feature Integration: An Empirical Study with RNN and Encoder-Decoder Models

Channel Selection and Classification through Fuzzy Feature Selection and Fuzzy Export Model

A Three-Layer Network Content Protection Architecture based on LLM Technologies

Unified Fuzzy Framework for Feature Selection and Channel-wise Rule-based Classification in Deep?Fuzzy Hybrid Models

Strain Estimation in Real Tensile Experiments Using Self-Supervised Learning-Based Digital Image Correlation (DIC)

AI Security Portal Facilitating Knowledge Consolidation to Promote AI Security

A Two-Stage Legal Document Automation System Combining Template Mapping and LLM-based Post-processing

Signal Fingerprinting Method Based on Emphasized Spectrum Data for Bluetooth Low Energy

FoTo: Targeted Visual Topic Modeling for Focused Analysis of Short Texts

CTI Technique Extraction Aligned to MITRE ATT&CK via Ensemble LLMs

Deposit Go : A Conversational AI for Legal Document Generation using LangChain and LangGraph

PLC Meets RISC-V: A Trusted Execution Environment Framework for Secure Automation with Multi-Enclave Capability

Quantum AI-Driven Anomaly Detection for 6G Network Security

CAPTION-GUIDED REFINEMENT OF IMAGE REGIONS VIA MASKED GAN TRAINING

ME-XHRL: Malware Evasion using Explainable Hierarchical Reinforcement Learning

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions

AI and Machine Learning Approaches for Early Stroke Detection via Facial and Speech Analysis

Comparison of LLMs: Evaluating Their Abilities of Identifying the Source of Information

A Deployable, End-to-End Framework for Explainable and Federated Phishing Detection in Low-Resource Languages

From Fatigue to Action: Revisiting AI-Driven SIEM for Effective Incident Response