{"total":21,"rows":[{"id":"2311.11261","title":"Adversarial Prompt Tuning for Vision-Language Models","created":"2023-11-19","cited_by_count":44,"area":"mllm"},{"id":"2406.05491","title":"One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models","created":"2024-06-08","cited_by_count":40,"area":"mllm"},{"id":"2404.19287","title":"Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective","created":"2024-04-30","cited_by_count":28,"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":"2510.24038","title":"Enhancing CLIP Robustness via Cross-Modality Alignment","created":"2025-10-28","cited_by_count":15,"area":"mllm"},{"id":"2407.20657","title":"Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks","created":"2024-07-30","cited_by_count":9,"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":"2509.12521","title":"Phi: Preference Hijacking in Multi-modal Large Language Models at Inference Time","created":"2025-09-15","cited_by_count":2,"area":"mllm"},{"id":"2506.11472","title":"Toward Inherently Robust VLMs Against Visual Perception Attacks","created":"2025-06-13","cited_by_count":1,"area":"mllm"},{"id":"2602.09431","title":"Grounding-Driven Attack: Improving Encoder-based Adversarial Transferability against Large Vision-Language Models","created":"2026-02-10","cited_by_count":1,"area":"mllm"},{"id":"2604.19844","title":"If you're waiting for a sign... that might not be it! Mitigating Trust Boundary Confusion from Visual Injections on Vision-Language Agentic Systems","created":"2026-04-21","cited_by_count":1,"area":"mllm"},{"id":"2606.06186","title":"Adversarial Attacks Already Tell the Answer: Directional Bias-Guided Test-time Defense for Vision-Language Models","created":"2026-06-04","cited_by_count":1,"area":"mllm"},{"id":"2510.23775","title":"Explainable Detection of AI-Generated Images with Artifact Localization Using Faster-Than-Lies and Vision-Language Models for Edge Devices","created":"2025-10-27","cited_by_count":0,"area":"mllm"},{"id":"2602.04356","title":"Stage-wise Attention-Guided Region Sequencing for Adversarial Attacks on Large Vision-Language Models","created":"2026-02-04","cited_by_count":0,"area":"mllm"},{"id":"2605.16090","title":"A Cross-Modal Prompt Injection Attack against Large Vision-Language Models with Image-Only Perturbation","created":"2026-05-15","cited_by_count":0,"area":"mllm"},{"id":"2605.27927","title":"Structure-Guided Visual Perturbation Neutralization for LVLMs","created":"2026-05-27","cited_by_count":0,"area":"mllm"},{"id":"2606.29464","title":"Rank-Aware Hyperbolic Alignment for Vision-Language Dataset Distillation","created":"2026-06-28","cited_by_count":0,"area":"mllm"},{"id":"2607.14974","title":"On Success and Simplicity: A Second Look at Transferable Vision-Language Attack Pipeline","created":"2026-07-16","cited_by_count":0,"area":"mllm"},{"id":"2608.08815","title":"Distilling Vision-Language Models for Robust Traffic Sign Perception in Autonomous Vehicles","created":"2026-08-09","cited_by_count":0,"area":"mllm"},{"id":"2610.06977","title":"Visual-Invariance-Augmented Feature Optimal Alignment for Transferable Adversarial Attacks against Closed-Source MLLMs","created":"2026-10-04","cited_by_count":0,"area":"mllm"},{"id":"2610.18609","title":"DPOison-VL: Clean Preference Poisoning in Vision-Language Direct Preference Optimization","created":"2026-10-13","cited_by_count":0,"area":"mllm"}],"next_cursor":null}