{"total":48,"rows":[{"id":"2410.22108","title":"Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench","created":"2024-10-29","cited_by_count":64,"area":"mllm"},{"id":"2411.19939","title":"VLSBench: Unveiling Visual Leakage in Multimodal Safety","created":"2024-11-29","cited_by_count":63,"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":"2502.11051","title":"MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models","created":"2025-02-16","cited_by_count":30,"area":"mllm"},{"id":"2502.15910","title":"Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models","created":"2025-02-21","cited_by_count":26,"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":"2503.14530","title":"SAUCE: Selective Concept Unlearning in Vision-Language Models with Sparse Autoencoders","created":"2025-03-16","cited_by_count":13,"area":"mllm"},{"id":"2508.04567","title":"Analyzing and Mitigating Object Hallucination: A Training Bias Perspective","created":"2025-08-06","cited_by_count":12,"area":"mllm"},{"id":"2510.04217","title":"MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering","created":"2025-10-05","cited_by_count":10,"area":"mllm"},{"id":"2510.22535","title":"OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models","created":"2025-10-26","cited_by_count":8,"area":"mllm"},{"id":"2511.06793","title":"Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models","created":"2025-11-10","cited_by_count":8,"area":"mllm"},{"id":"2503.12545","title":"PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models","created":"2025-03-16","cited_by_count":6,"area":"mllm"},{"id":"2507.01271","title":"PULSE: Practical Evaluation Scenarios for Large Multimodal Model Unlearning","created":"2025-07-02","cited_by_count":6,"area":"mllm"},{"id":"2506.17265","title":"SUA: Stealthy Multimodal Large Language Model Unlearning Attack","created":"2025-06-10","cited_by_count":4,"area":"mllm"},{"id":"2601.21794","title":"Knowledge Vector Weakening: Efficient Training-free Unlearning for Large Vision-Language Models","created":"2026-01-29","cited_by_count":3,"area":"mllm"},{"id":"2601.22020","title":"Visual-Guided Key-Token Regularization for Multimodal Large Language Model Unlearning","created":"2026-01-29","cited_by_count":3,"area":"mllm"},{"id":"2605.03759","title":"Before Forgetting, Learn to Remember: Revisiting Foundational Learning Failures in LVLM Unlearning Benchmarks","created":"2026-05-05","cited_by_count":3,"area":"mllm"},{"id":"2605.08031","title":"Object Hallucination-Free Reinforcement Unlearning for Vision-Language Models","created":"2026-05-08","cited_by_count":3,"area":"mllm"},{"id":"2606.00105","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","created":"2026-05-26","cited_by_count":3,"area":"mllm"},{"id":"2511.11299","title":"AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models","created":"2025-11-14","cited_by_count":2,"area":"mllm"},{"id":"2605.03547","title":"Erase Persona, Forget Lore: Benchmarking Multimodal Copyright Unlearning in Large Vision Language Models","created":"2026-05-05","cited_by_count":2,"area":"mllm"},{"id":"2507.03434","title":"Unlearning the Noisy Correspondence Makes CLIP More Robust","created":"2025-07-04","cited_by_count":1,"area":"mllm"},{"id":"2510.07567","title":"Cross-Modal Attention Guided Unlearning in Vision-Language Models","created":"2025-10-08","cited_by_count":1,"area":"mllm"},{"id":"2601.16527","title":"Beyond Superficial Unlearning: Sharpness-Aware Robust Erasure of Hallucinations in Multimodal LLMs","created":"2026-01-23","cited_by_count":1,"area":"mllm"},{"id":"2605.05938","title":"ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models","created":"2026-05-07","cited_by_count":1,"area":"mllm"},{"id":"2605.08800","title":"PPU-Bench:Real World Benchmark for Personalized Partial Unlearning in Vision Language Models","created":"2026-05-09","cited_by_count":1,"area":"mllm"},{"id":"2605.15687","title":"ASRU: Activation Steering Meets Reinforcement Unlearning for Multimodal Large Language Models","created":"2026-05-15","cited_by_count":1,"area":"mllm"},{"id":"2605.26992","title":"On the Robustness of Machine Unlearning for Vision-Language Models","created":"2026-05-26","cited_by_count":1,"area":"mllm"},{"id":"2606.12809","title":"MLUBench: A Benchmark for Lifelong Unlearning Evaluation in MLLMs","created":"2026-06-11","cited_by_count":1,"area":"mllm"},{"id":"2608.03791","title":"Does Forgetting Transfer Across Modalities? A Real-World Benchmark for Cross-Modal Knowledge Unlearning Evaluation","created":"2026-08-04","cited_by_count":1,"area":"mllm"},{"id":"2608.28312","title":"AIM: Anchor Identity Features, Then Match for Multimodal Large Language Model Unlearning","created":"2026-08-28","cited_by_count":1,"area":"mllm"},{"id":"2608.30649","title":"Where Identity Lives: Localized, Retain-Free Identity Unlearning in Multimodal Large Language Models","created":"2026-08-31","cited_by_count":1,"area":"mllm"},{"id":"2603.14185","title":"Relationship-Aware Safety Unlearning for Multimodal LLMs","created":"2026-03-15","cited_by_count":0,"area":"mllm"},{"id":"2606.09868","title":"SPACE: Source-free Proxy Anchor Concept Erasure for MLLMs","created":"2026-06-01","cited_by_count":0,"area":"mllm"},{"id":"2607.02897","title":"PPE-Bench: A Benchmark for Evaluating MLLM Unlearning under Private-Public Entanglement","created":"2026-07-03","cited_by_count":0,"area":"mllm"},{"id":"2607.06649","title":"POPS: Recovering Unlearned Multi-Modality Knowledge in MLLMs with Prompt-Optimized Parameter Shaking","created":"2026-07-07","cited_by_count":0,"area":"mllm"},{"id":"2607.18615","title":"Stochastic Meta-Unlearning: Bridging Language Backbone and Multimodal Unlearning","created":"2026-07-21","cited_by_count":0,"area":"mllm"},{"id":"2607.21300","title":"Unlearning Under Imbalance: Benchmarking Fairness in Multimodal LLM Unlearning","created":"2026-07-23","cited_by_count":0,"area":"mllm"},{"id":"2608.01008","title":"Toward Fine-Grained Forgetting:Attribute Unlearning for Multimodal Large Language Models","created":"2026-08-02","cited_by_count":0,"area":"mllm"},{"id":"2608.01849","title":"Exploring and Bridging Knowledge Holes in Unlearned Multimodal Large Language Models","created":"2026-08-03","cited_by_count":0,"area":"mllm"},{"id":"2608.04548","title":"A Model Merging Approach for Continual MLLM Unlearning","created":"2026-08-05","cited_by_count":0,"area":"mllm"},{"id":"2608.11149","title":"PRMU: A Corpus-Free Benchmark for Person-Centric Knowledge Unlearning in Multimodal Large Language Models","created":"2026-08-11","cited_by_count":0,"area":"mllm"},{"id":"2608.29996","title":"Partition-Aware Unlearning for Removing Spurious Correlations in Large Vision-Language Models","created":"2026-08-30","cited_by_count":0,"area":"mllm"},{"id":"2609.31356","title":"Open Vocabulary Domain Unlearning","created":"2026-09-25","cited_by_count":0,"area":"mllm"},{"id":"2610.01962","title":"SIEVE: Selective attention-value Suppression for Vision-Language Models Unlearning","created":"2026-10-01","cited_by_count":0,"area":"mllm"},{"id":"2610.10358","title":"Open-MMUnlearning: Unifying Methods and Evaluation for MLLM Unlearning","created":"2026-10-07","cited_by_count":0,"area":"mllm"},{"id":"2610.14763","title":"CUSE: Fine-Grained Multimodal Unlearning with Counterfactual Guidance and On-Policy Self-Distillation","created":"2026-10-10","cited_by_count":0,"area":"mllm"},{"id":"2610.19613","title":"Are We Really Measuring Forgetting? Pitfalls in Evaluating Machine Unlearning for Multimodal LLMs","created":"2026-10-14","cited_by_count":0,"area":"mllm"}],"next_cursor":null}