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Showing 2500-2520 of 4,487 articles

MIRAGE: Multimodal Immersive Reasoning and Guided Exploration for Red-Team Jailbreak Attacks

While safety mechanisms have significantly progressed in filtering harmful text inputs, MLLMs rema...

Mar 2025 http://arxiv.org/abs/2503.19134v1

Boosting Resolution Generalization of Diffusion Transformers with Randomized Positional Encodings

Resolution generalization in image generation tasks enables the production of higher-resolution im...

Mar 2025 http://arxiv.org/abs/2503.18719v1

AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents

Agents built on LLMs are increasingly deployed across diverse domains, automating complex decision...

Mar 2025 http://arxiv.org/abs/2503.18666v2

Quantile-Based Randomized Kaczmarz for Corrupted Tensor Linear Systems

The reconstruction of tensor-valued signals from corrupted measurements, known as tensor regressio...

Mar 2025 http://arxiv.org/abs/2503.18190v1

Reason2Attack: Jailbreaking Text-to-Image Models via LLM Reasoning

Text-to-Image(T2I) models typically deploy safety filters to prevent the generation of sensitive i...

Mar 2025 http://arxiv.org/abs/2503.17987v2

Unraveling Pedestrian Fatality Patterns: A Comparative Study with Explainable AI

Road fatalities pose significant public safety and health challenges worldwide, with pedestrians b...

Mar 2025 http://arxiv.org/abs/2503.17623v1

Random-sketching Techniques to Enhance the Numerical Stability of Block Orthogonalization Algorithms for s-step GMRES

We integrate random sketching techniques into block orthogonalization schemes needed for s-step GM...

Mar 2025 http://arxiv.org/abs/2503.16717v2

Am I eligible? Natural Language Inference for Clinical Trial Patient Recruitment: the Patient's Point of View

Recruiting patients to participate in clinical trials can be challenging and time-consuming. Usual...

Mar 2025 http://arxiv.org/abs/2503.15718v1

Real-world validation of a multimodal LLM-powered pipeline for High-Accuracy Clinical Trial Patient Matching leveraging EHR data

Background: Patient recruitment in clinical trials is hindered by complex eligibility criteria and...

Mar 2025 http://arxiv.org/abs/2503.15374v1

Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings

This study presents the first comprehensive safety evaluation of the DeepSeek models, focusing on ...

Mar 2025 http://arxiv.org/abs/2503.15092v1

MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models

Multimodal foundation models (MMFMs) play a crucial role in various applications, including autono...

Mar 2025 http://arxiv.org/abs/2503.14827v1

Construction Site Scaffolding Completeness Detection Based on Mask R-CNN and Hough Transform

Construction site scaffolding is essential for many building projects, and ensuring its safety is ...

Mar 2025 http://arxiv.org/abs/2503.14716v1

Hyperbolic Safety-Aware Vision-Language Models

Addressing the retrieval of unsafe content from vision-language models such as CLIP is an importan...

Mar 2025 http://arxiv.org/abs/2503.12127v1

Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-tuning

Recent vision-language models (VLMs) have made remarkable strides in generative modeling with mult...

Mar 2025 http://arxiv.org/abs/2503.11832v1

Autoregressive Image Generation with Randomized Parallel Decoding

We introduce ARPG, a novel visual autoregressive model that enables randomized parallel generation...

Mar 2025 http://arxiv.org/abs/2503.10568v1

Enhance Exploration in Safe Reinforcement Learning with Contrastive Representation Learning

In safe reinforcement learning, agent needs to balance between exploration actions and safety cons...

Mar 2025 http://arxiv.org/abs/2503.10318v1

Optimizing Fire Safety: Reducing False Alarms Using Advanced Machine Learning Techniques

Fire safety practices are important to reduce the extent of destruction caused by fire. While smok...

Mar 2025 http://arxiv.org/abs/2503.09960v1

A Novel Framework for Comparing Combination Therapy Outcomes Using Mechanistic Graph Models

Background: Predicting the efficacy of combination therapies is a critical challenge in clinical d...

Mar 2025 http://arxiv.org/abs/2503.21787v1

How good are deep learning methods for automated road safety analysis using video data? An experimental study

Image-based multi-object detection (MOD) and multi-object tracking (MOT) are advancing at a fast p...

Mar 2025 http://arxiv.org/abs/2503.09807v1

Efficient dynamic modal load reconstruction using physics-informed Gaussian processes based on frequency-sparse Fourier basis functions

Knowledge of the force time history of a structure is essential to assess its behaviour, ensure sa...

Mar 2025 http://arxiv.org/abs/2503.09418v1

Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions

Randomized Controlled Trials (RCTs) are the gold standard for evaluating the effect of new medical...

Mar 2025 http://arxiv.org/abs/2503.09226v1