{"total":77,"rows":[{"id":"2406.04031","title":"Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt","created":"2024-06-06","cited_by_count":109,"area":"mllm"},{"id":"2407.07403","title":"A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends","created":"2024-07-10","cited_by_count":84,"area":"mllm"},{"id":"2404.10595","title":"Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases","created":"2024-04-16","cited_by_count":77,"area":"mllm"},{"id":"2407.01599","title":"JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models","created":"2024-06-26","cited_by_count":70,"area":"mllm"},{"id":"2411.19939","title":"VLSBench: Unveiling Visual Leakage in Multimodal Safety","created":"2024-11-29","cited_by_count":63,"area":"mllm"},{"id":"2410.06625","title":"ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time","created":"2024-10-09","cited_by_count":60,"area":"mllm"},{"id":"2411.16721","title":"Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreaks","created":"2024-11-23","cited_by_count":48,"area":"mllm"},{"id":"2505.16916","title":"Backdoor Cleaning without External Guidance in MLLM Fine-tuning","created":"2025-05-22","cited_by_count":35,"area":"mllm"},{"id":"2502.14744","title":"HiddenDetect: Detecting Jailbreak Attacks against Large Vision-Language Models via Monitoring Hidden States","created":"2025-02-20","cited_by_count":33,"area":"mllm"},{"id":"2503.17682","title":"Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback","created":"2025-03-22","cited_by_count":30,"area":"mllm"},{"id":"2406.14859","title":"From LLMs to MLLMs: Exploring the Landscape of Multimodal Jailbreaking","created":"2024-06-21","cited_by_count":24,"area":"mllm"},{"id":"2410.09047","title":"Unraveling and Mitigating Safety Alignment Degradation of Vision-Language Models","created":"2024-10-11","cited_by_count":23,"area":"mllm"},{"id":"2410.23687","title":"Adversarial Attacks of Vision Tasks in the Past 10 Years: A Survey","created":"2024-10-31","cited_by_count":23,"area":"mllm"},{"id":"2404.05264","title":"Unbridled Icarus: A Survey of the Potential Perils of Image Inputs in Multimodal Large Language Model Security","created":"2024-04-08","cited_by_count":19,"area":"mllm"},{"id":"2410.12662","title":"Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models","created":"2024-10-16","cited_by_count":19,"area":"mllm"},{"id":"2411.01703","title":"UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models","created":"2024-11-03","cited_by_count":19,"area":"mllm"},{"id":"2410.00296","title":"VLMGuard: Bootstrapping Malicious Prompt Detectors from Unlabeled Vision-Language Prompts in the Wild","created":"2024-10-01","cited_by_count":18,"area":"mllm"},{"id":"2502.10486","title":"VLM-Guard: Safeguarding Vision-Language Models via Fulfilling Safety Alignment Gap","created":"2025-02-14","cited_by_count":17,"area":"mllm"},{"id":"2502.13095","title":"Understanding and Rectifying Safety Perception Distortion in VLMs","created":"2025-02-18","cited_by_count":17,"area":"mllm"},{"id":"2501.03012","title":"Analyzing Finetuning Representation Shift for Multimodal LLMs Steering","created":"2025-01-06","cited_by_count":16,"area":"mllm"},{"id":"2503.11832","title":"Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated by Machine Unlearning","created":"2025-03-14","cited_by_count":16,"area":"mllm"},{"id":"2407.08583","title":"The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective","created":"2024-07-11","cited_by_count":15,"area":"mllm"},{"id":"2508.12815","title":"Learning to Steer: Input-dependent Steering for Multimodal LLMs","created":"2025-08-18","cited_by_count":15,"area":"mllm"},{"id":"2508.05087","title":"JPS: Jailbreak Multimodal Large Language Models with Collaborative Visual Perturbation and Textual Steering","created":"2025-08-07","cited_by_count":11,"area":"mllm"},{"id":"2504.10000","title":"Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models?","created":"2025-04-14","cited_by_count":9,"area":"mllm"},{"id":"2511.20223","title":"V-Attack: Targeting Disentangled Value Features for Controllable Adversarial Attacks on LVLMs","created":"2025-11-25","cited_by_count":9,"area":"mllm"},{"id":"2506.09353","title":"DAVSP: Safety Alignment for Large Vision-Language Models via Deep Aligned Visual Safety Prompt","created":"2025-06-11","cited_by_count":8,"area":"mllm"},{"id":"2512.20168","title":"Odysseus: Jailbreaking Commercial Multimodal LLM-integrated Systems via Dual Steganography","created":"2025-12-23","cited_by_count":8,"area":"mllm"},{"id":"2603.03637","title":"Image-based Prompt Injection: Hijacking Multimodal LLMs through Visually Embedded Adversarial Instructions","created":"2026-03-04","cited_by_count":8,"area":"mllm"},{"id":"2412.12722","title":"Defending LVLMs Against Vision Attacks through Partial-Perception Supervision","created":"2024-12-17","cited_by_count":7,"area":"mllm"},{"id":"2410.06154","title":"GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models","created":"2024-10-08","cited_by_count":6,"area":"mllm"},{"id":"2503.00037","title":"Zero-Shot Defense Against Toxic Images via Inherent Multimodal Alignment in LVLMs","created":"2025-02-25","cited_by_count":6,"area":"mllm"},{"id":"2505.21967","title":"Seeing the Threat: Vulnerabilities in Vision-Language Models to Adversarial Attack","created":"2025-05-28","cited_by_count":5,"area":"mllm"},{"id":"2505.24519","title":"AMIA: Automatic Masking and Joint Intention Analysis Makes LVLMs Robust Jailbreak Defenders","created":"2025-05-30","cited_by_count":5,"area":"mllm"},{"id":"2503.11750","title":"Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization","created":"2025-03-14","cited_by_count":4,"area":"mllm"},{"id":"2508.15370","title":"Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation","created":"2025-08-21","cited_by_count":4,"area":"mllm"},{"id":"2603.17372","title":"Understanding and Defending VLM Jailbreaks via Jailbreak-Related Representation Shift","created":"2026-03-18","cited_by_count":4,"area":"mllm"},{"id":"2605.00583","title":"Jailbreaking Vision-Language Models Through the Visual Modality","created":"2026-05-01","cited_by_count":4,"area":"mllm"},{"id":"2606.09125","title":"Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges","created":"2026-06-08","cited_by_count":4,"area":"mllm"},{"id":"2505.24208","title":"Bootstrapping LLM Robustness for VLM Safety via Reducing the Pretraining Modality Gap","created":"2025-05-30","cited_by_count":3,"area":"mllm"},{"id":"2506.15734","title":"The Safety Reminder: A Soft Prompt to Reactivate Delayed Safety Awareness in Vision-Language Models","created":"2025-06-15","cited_by_count":3,"area":"mllm"},{"id":"2507.16856","title":"SIA: Enhancing Safety via Intent Awareness for Vision-Language Models","created":"2025-07-21","cited_by_count":3,"area":"mllm"},{"id":"2508.20655","title":"Improving Alignment in LVLMs with Debiased Self-Judgment","created":"2025-08-28","cited_by_count":3,"area":"mllm"},{"id":"2511.16743","title":"SafeR-CLIP: Mitigating NSFW Content in Vision-Language Models While Preserving Pre-Trained Knowledge","created":"2025-11-20","cited_by_count":3,"area":"mllm"},{"id":"2601.04043","title":"When Helpers Become Hazards: A Benchmark for Analyzing Multimodal LLM-Powered Safety in Daily Life","created":"2026-01-07","cited_by_count":3,"area":"mllm"},{"id":"2503.06989","title":"Probabilistic Modeling of Jailbreak on Multimodal LLMs: From Quantification to Application","created":"2025-03-10","cited_by_count":2,"area":"mllm"},{"id":"2507.21637","title":"Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models","created":"2025-07-29","cited_by_count":2,"area":"mllm"},{"id":"2511.16229","title":"Q-MLLM: Vector Quantization for Robust Multimodal Large Language Model Security","created":"2025-11-20","cited_by_count":2,"area":"mllm"},{"id":"2601.22737","title":"Lingua-SafetyBench: A Benchmark for Safety Evaluation of Multilingual Vision-Language Models","created":"2026-01-30","cited_by_count":2,"area":"mllm"},{"id":"2603.22094","title":"Principled Steering via Null-space Projection for Jailbreak Defense in Vision-Language Models","created":"2026-03-23","cited_by_count":2,"area":"mllm"},{"id":"2607.09697","title":"Safe responses matter: Output-aware safety guardrail mitigate over-refusal in MLLMs","created":"2026-06-20","cited_by_count":2,"area":"mllm"},{"id":"2607.22716","title":"Visual Token Compression Enhances Robustness of MLLMs","created":"2026-07-21","cited_by_count":2,"area":"mllm"},{"id":"2502.12635","title":"Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning","created":"2025-02-18","cited_by_count":1,"area":"mllm"},{"id":"2505.05318","title":"Mapping User Trust in Vision Language Models: Research Landscape, Challenges, and Prospects","created":"2025-05-08","cited_by_count":1,"area":"mllm"},{"id":"2505.17132","title":"Dynamic Token Reweighting for Robust Vision-Language Models","created":"2025-05-22","cited_by_count":1,"area":"mllm"},{"id":"2510.15430","title":"Learning to Detect Unknown Jailbreak Attacks in Large Vision-Language Models","created":"2025-10-17","cited_by_count":1,"area":"mllm"},{"id":"2602.08136","title":"Robustness of Vision Language Models Against Split-Image Harmful Input Attacks","created":"2026-02-08","cited_by_count":1,"area":"mllm"},{"id":"2602.19570","title":"VALD: Multi-Stage Vision Attack Detection for Efficient LVLM Defense","created":"2026-02-23","cited_by_count":1,"area":"mllm"},{"id":"2602.24027","title":"GuardAlign: Test-time Safety Alignment in Multimodal Large Language Models","created":"2026-02-27","cited_by_count":1,"area":"mllm"},{"id":"2603.14825","title":"Two Birds, One Projection: Harmonizing Safety and Utility in LVLMs via Inference-time Feature Projection","created":"2026-03-16","cited_by_count":1,"area":"mllm"},{"id":"2605.18915","title":"DMN: A Compositional Framework for Jailbreaking Multimodal LLMs with Multi-Image Inputs","created":"2026-05-18","cited_by_count":1,"area":"mllm"},{"id":"2503.10661","title":"CeTAD: Towards Certified Toxicity-Aware Distance in Vision Language Models","created":"2025-03-08","cited_by_count":0,"area":"mllm"},{"id":"2510.21794","title":"Token-Level Inference-Time Alignment for Vision-Language Models","created":"2025-10-20","cited_by_count":0,"area":"mllm"},{"id":"2511.13458","title":"Trust in Vision-Language Models: Insights from a Participatory User Workshop","created":"2025-11-17","cited_by_count":0,"area":"mllm"},{"id":"2603.14219","title":"Safety-Potential Pruning for Enhancing Safety Prompts Against VLM Jailbreaking Without Retraining","created":"2026-03-15","cited_by_count":0,"area":"mllm"},{"id":"2604.08846","title":"Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs","created":"2026-04-10","cited_by_count":0,"area":"mllm"},{"id":"2604.09253","title":"Mosaic: Multimodal Jailbreak against Closed-Source VLMs via Multi-View Ensemble Optimization","created":"2026-04-10","cited_by_count":0,"area":"mllm"},{"id":"2605.01449","title":"VisInject: Disruption != Injection -- A Dual-Dimension Evaluation of Universal Adversarial Attacks on Vision-Language Models","created":"2026-05-02","cited_by_count":0,"area":"mllm"},{"id":"2606.22779","title":"DE-FIVE: Detecting Malicious Image Prompts via Fourier Features and Image Vector Embeddings","created":"2026-06-22","cited_by_count":0,"area":"mllm"},{"id":"2607.28969","title":"SafeNexus: Discovering and Steering Modality-Universal Safety Neurons in MLLMs","created":"2026-07-31","cited_by_count":0,"area":"mllm"},{"id":"2608.07535","title":"Evolving Safety Landscape of Multi-modal Large Language Models: A Survey of Emerging Threats and Safeguards","created":"2026-07-27","cited_by_count":0,"area":"mllm"},{"id":"2608.17234","title":"COMIC: Reference-Aware Safety Gating for Multimodal Large Language Models","created":"2026-08-18","cited_by_count":0,"area":"mllm"},{"id":"2608.21100","title":"ReFrame: Evidence-Guided Test-Time Safety Alignment in Multimodal Large Language Models","created":"2026-08-21","cited_by_count":0,"area":"mllm"},{"id":"2609.02082","title":"Transfer Safety Awareness for Cross-Modal Safety Drift in Multimodal Large Language Models","created":"2026-09-02","cited_by_count":0,"area":"mllm"},{"id":"2609.05525","title":"DIVA: Exploiting Cross-Step Conditional Propagation for Visual Jailbreaks in Discrete Diffusion Vision-Language Models","created":"2026-09-01","cited_by_count":0,"area":"mllm"},{"id":"2609.10613","title":"Understanding In-Context Multimodal Jailbreaks via Posterior Reweighting","created":"2026-09-08","cited_by_count":0,"area":"mllm"},{"id":"2609.24098","title":"A$^2$Safe: Counterfactual Evidence-Aligned Adaptive Agent Collaboration for Safe and Effective Visual Question Answering","created":"2026-09-21","cited_by_count":0,"area":"mllm"}],"next_cursor":null}