{"total":18,"rows":[{"id":"2405.12523","title":"Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models","created":"2024-05-21","cited_by_count":46,"area":"mllm"},{"id":"2401.17600","title":"Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data","created":"2024-01-31","cited_by_count":39,"area":"mllm"},{"id":"2411.02902","title":"Membership Inference Attacks against Large Vision-Language Models","created":"2024-11-05","cited_by_count":33,"area":"mllm"},{"id":"2411.03554","title":"Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset","created":"2024-11-05","cited_by_count":30,"area":"mllm"},{"id":"2506.03179","title":"Vid-SME: Membership Inference Attacks against Large Video Understanding Models","created":"2025-05-29","cited_by_count":19,"area":"mllm"},{"id":"2503.19338","title":"Membership Inference Attacks on Large-Scale Models: A Survey","created":"2025-03-25","cited_by_count":18,"area":"mllm"},{"id":"2505.01456","title":"Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation","created":"2025-05-01","cited_by_count":11,"area":"mllm"},{"id":"2509.24566","title":"TokenSwap: Backdoor Attack on the Compositional Understanding of Large Vision-Language Models","created":"2025-09-29","cited_by_count":5,"area":"mllm"},{"id":"2511.01952","title":"Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing","created":"2025-11-03","cited_by_count":4,"area":"mllm"},{"id":"2511.19032","title":"Diagnosing Corruption-Induced Reliability Failures in Vision-Language Models","created":"2025-11-24","cited_by_count":4,"area":"mllm"},{"id":"2503.01208","title":"Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models","created":"2025-03-03","cited_by_count":3,"area":"mllm"},{"id":"2506.07399","title":"MrM: Black-Box Membership Inference Attacks against Multimodal RAG Systems","created":"2025-06-09","cited_by_count":2,"area":"mllm"},{"id":"2510.16295","title":"OpenLVLM-MIA: A Controlled Benchmark Revealing the Limits of Membership Inference Attacks on Large Vision-Language Models","created":"2025-10-18","cited_by_count":1,"area":"mllm"},{"id":"2605.02206","title":"Metric Unreliability in Multimodal Machine Unlearning: A Systematic Analysis and Principled Unified Score","created":"2026-05-04","cited_by_count":1,"area":"mllm"},{"id":"2512.03121","title":"Lost in Modality: Evaluating the Effectiveness of Text-Based Membership Inference Attacks on Large Multimodal Models","created":"2025-12-02","cited_by_count":0,"area":"mllm"},{"id":"2605.12574","title":"DistractMIA: Black-Box Membership Inference on Vision-Language Models via Semantic Distraction","created":"2026-05-12","cited_by_count":0,"area":"mllm"},{"id":"2605.17341","title":"Single-Sample Black-Box Membership Inference Attack against Vision-Language Models via Cross-modal Semantic Alignment","created":"2026-05-17","cited_by_count":0,"area":"mllm"},{"id":"2608.17722","title":"MemCatalyst: Amplifying Data Auditing on Vision-Language Models via Data Poisoning","created":"2026-08-18","cited_by_count":0,"area":"mllm"}],"next_cursor":null}