{"total":102,"rows":[{"id":"2305.13172","title":"Editing Large Language Models: Problems, Methods, and Opportunities","created":"2023-05-22","cited_by_count":372,"area":null},{"id":"2305.10120","title":"Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models","created":"2023-05-17","cited_by_count":177,"area":null},{"id":"2401.01286","title":"A Comprehensive Study of Knowledge Editing for Large Language Models","created":"2024-01-02","cited_by_count":163,"area":null},{"id":"2311.04287","title":"Holistic Evaluation of Text-To-Image Models","created":"2023-11-07","cited_by_count":160,"area":null},{"id":"2309.17410","title":"Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks","created":"2023-09-29","cited_by_count":158,"area":null},{"id":"2401.04700","title":"Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue","created":"2024-01-09","cited_by_count":103,"area":null},{"id":"2308.01508","title":"Circumventing Concept Erasure Methods For Text-to-Image Generative Models","created":"2023-08-03","cited_by_count":85,"area":null},{"id":"2404.08031","title":"Latent Guard: a Safety Framework for Text-to-image Generation","created":"2024-04-11","cited_by_count":71,"area":null},{"id":"2407.05965","title":"T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models","created":"2024-07-08","cited_by_count":66,"area":null},{"id":"2504.12782","title":"Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts","created":"2025-04-17","cited_by_count":62,"area":null},{"id":"2405.03486","title":"UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images","created":"2024-05-06","cited_by_count":53,"area":null},{"id":"2501.12612","title":"T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation","created":"2025-01-22","cited_by_count":48,"area":null},{"id":"2402.02333","title":"Copyright Protection in Generative AI: A Technical Perspective","created":"2024-02-04","cited_by_count":38,"area":null},{"id":"2404.00995","title":"PosterLlama: Bridging Design Ability of Langauge Model to Contents-Aware Layout Generation","created":"2024-04-01","cited_by_count":35,"area":null},{"id":"2308.03977","title":"PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning","created":"2023-08-08","cited_by_count":31,"area":null},{"id":"2402.10882","title":"Universal Prompt Optimizer for Safe Text-to-Image Generation","created":"2024-02-16","cited_by_count":28,"area":null},{"id":"2405.01008","title":"On Mechanistic Knowledge Localization in Text-to-Image Generative Models","created":"2024-05-02","cited_by_count":28,"area":null},{"id":"2405.16821","title":"Perturbation-Restrained Sequential Model Editing","created":"2024-05-27","cited_by_count":28,"area":null},{"id":"2309.05973","title":"Circuit Breaking: Removing Model Behaviors with Targeted Ablation","created":"2023-09-12","cited_by_count":27,"area":null},{"id":"2404.03631","title":"Robust Concept Erasure Using Task Vectors","created":"2024-04-04","cited_by_count":27,"area":null},{"id":"2307.01827","title":"Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses","created":"2023-07-04","cited_by_count":26,"area":null},{"id":"2406.04551","title":"Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance","created":"2024-06-06","cited_by_count":24,"area":null},{"id":"2501.00192","title":"MLLM-as-a-Judge for Image Safety without Human Labeling","created":"2024-12-31","cited_by_count":23,"area":null},{"id":"2404.11534","title":"Decomposing and Editing Predictions by Modeling Model Computation","created":"2024-04-17","cited_by_count":19,"area":null},{"id":"2311.18815","title":"IMMA: Immunizing text-to-image Models against Malicious Adaptation","created":"2023-11-30","cited_by_count":18,"area":null},{"id":"2402.16123","title":"InstructEdit: Instruction-based Knowledge Editing for Large Language Models","created":"2024-02-25","cited_by_count":17,"area":null},{"id":"2407.03921","title":"Concept Bottleneck Models Without Predefined Concepts","created":"2024-07-04","cited_by_count":17,"area":null},{"id":"2305.18398","title":"Mitigating Inappropriateness in Image Generation: Can there be Value in Reflecting the World's Ugliness?","created":"2023-05-28","cited_by_count":16,"area":null},{"id":"2410.09140","title":"RealEra: Semantic-level Concept Erasure via Neighbor-Concept Mining","created":"2024-10-11","cited_by_count":15,"area":null},{"id":"2308.13785","title":"ORES: Open-vocabulary Responsible Visual Synthesis","created":"2023-08-26","cited_by_count":14,"area":null},{"id":"2410.07157","title":"InstructG2I: Synthesizing Images from Multimodal Attributed Graphs","created":"2024-10-09","cited_by_count":14,"area":null},{"id":"2410.17664","title":"Deep Generative Models for 3D Medical Image Synthesis","created":"2024-10-23","cited_by_count":14,"area":null},{"id":"2403.02580","title":"What do we learn from inverting CLIP models?","created":"2024-03-05","cited_by_count":13,"area":null},{"id":"2406.17349","title":"Semantic Deep Hiding for Robust Unlearnable Examples","created":"2024-06-25","cited_by_count":13,"area":null},{"id":"2507.13386","title":"Minimalist Concept Erasure in Generative Models","created":"2025-07-16","cited_by_count":13,"area":null},{"id":"2311.16254","title":"Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models","created":"2023-11-27","cited_by_count":12,"area":null},{"id":"2403.14409","title":"Locating and Mitigating Gender Bias in Large Language Models","created":"2024-03-21","cited_by_count":12,"area":null},{"id":"2501.09833","title":"Erasing More Than Intended? How Concept Erasure Degrades the Generation of Non-Target Concepts","created":"2025-01-16","cited_by_count":12,"area":null},{"id":"2401.17623","title":"Neighboring Perturbations of Knowledge Editing on Large Language Models","created":"2024-01-31","cited_by_count":10,"area":null},{"id":"2407.12581","title":"Towards Understanding Unsafe Video Generation","created":"2024-07-17","cited_by_count":10,"area":null},{"id":"2408.04140","title":"UNLEARN Efficient Removal of Knowledge in Large Language Models","created":"2024-08-08","cited_by_count":10,"area":null},{"id":"2505.19398","title":"Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression","created":"2025-05-26","cited_by_count":10,"area":null},{"id":"2505.23760","title":"Model Immunization from a Condition Number Perspective","created":"2025-05-29","cited_by_count":8,"area":null},{"id":"2403.14539","title":"Robust 3D Shape Reconstruction in Zero-Shot from a Single Image in the Wild","created":"2024-03-21","cited_by_count":7,"area":null},{"id":"2406.15386","title":"U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI","created":"2024-04-22","cited_by_count":7,"area":null},{"id":"2406.16990","title":"AND: Audio Network Dissection for Interpreting Deep Acoustic Models","created":"2024-06-24","cited_by_count":7,"area":null},{"id":"2412.18123","title":"AEIOU: A Unified Defense Framework against NSFW Prompts in Text-to-Image Models","created":"2024-12-24","cited_by_count":7,"area":null},{"id":"2502.20623","title":"SafeText: Safe Text-to-image Models via Aligning the Text Encoder","created":"2025-02-28","cited_by_count":7,"area":null},{"id":"2503.13994","title":"TarPro: Targeted Protection against Malicious Image Editing","created":"2025-03-18","cited_by_count":7,"area":null},{"id":"2603.13300","title":"Safety-Guided Flow (SGF): A Unified Framework for Negative Guidance in Safe Generation","created":"2026-03-02","cited_by_count":6,"area":null},{"id":"2308.09490","title":"Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models","created":"2023-08-18","cited_by_count":5,"area":null},{"id":"2312.00057","title":"VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models","created":"2023-11-29","cited_by_count":5,"area":null},{"id":"2503.18324","title":"Plug-and-Play Interpretable Responsible Text-to-Image Generation via Dual-Space Multi-facet Concept Control","created":"2025-03-24","cited_by_count":5,"area":null},{"id":"2511.00143","title":"BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing","created":"2025-10-31","cited_by_count":5,"area":null},{"id":"2411.10329","title":"Safe Text-to-Image Generation: Simply Sanitize the Prompt Embedding","created":"2024-11-15","cited_by_count":4,"area":null},{"id":"2506.20151","title":"EAR: Erasing Concepts from Unified Autoregressive Models","created":"2025-06-25","cited_by_count":4,"area":null},{"id":"2512.17320","title":"EMMA: Concept Erasure Benchmark with Comprehensive Semantic Metrics and Diverse Categories","created":"2025-12-19","cited_by_count":4,"area":null},{"id":"2309.12338","title":"Artificial Intelligence and Aesthetic Judgment","created":"2023-08-21","cited_by_count":3,"area":null},{"id":"2306.12609","title":"Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities","created":"2023-06-22","cited_by_count":2,"area":null},{"id":"2308.04448","title":"Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI","created":"2023-08-02","cited_by_count":2,"area":null},{"id":"2404.05580","title":"Responsible Visual Editing","created":"2024-04-08","cited_by_count":2,"area":null},{"id":"2503.00020","title":"A Systematic Review of Open Datasets Used in Text-to-Image (T2I) Gen AI Model Safety","created":"2025-02-23","cited_by_count":2,"area":null},{"id":"2508.21099","title":"Beyond the Safety Tax: Mitigating Unsafe Text-to-Image Generation via External Safety Rectification","created":"2025-08-28","cited_by_count":2,"area":null},{"id":"2509.16986","title":"VCE: Safe Autoregressive Image Generation via Visual Contrast Exploitation","created":"2025-09-21","cited_by_count":2,"area":null},{"id":"2512.13953","title":"From Unlearning to UNBRANDING: A Benchmark for Trademark-Safe Text-to-Image Generation","created":"2025-12-15","cited_by_count":2,"area":null},{"id":"2603.23463","title":"InverFill: One-Step Inversion for Enhanced Few-Step Diffusion Inpainting","created":"2026-03-24","cited_by_count":2,"area":null},{"id":"2606.01189","title":"The Case for Model Science: Verify, Explore, Steer, Refine","created":"2026-05-31","cited_by_count":2,"area":null},{"id":"2606.05290","title":"Do Models Share Safety Representations? Cross-Model Steering for Safe Visual Generation","created":"2026-06-03","cited_by_count":2,"area":null},{"id":"2412.14499","title":"PrivDiffuser: Privacy-Guided Diffusion Model for Data Obfuscation in Sensor Networks","created":"2024-12-19","cited_by_count":1,"area":null},{"id":"2503.16171","title":"Guardians of Generation: Dynamic Inference-Time Copyright Shielding with Adaptive Guidance for AI Image Generation","created":"2025-03-19","cited_by_count":1,"area":null},{"id":"2508.10065","title":"Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design","created":"2025-08-13","cited_by_count":1,"area":null},{"id":"2510.16581","title":"Patronus: Safeguarding Text-to-Image Models against White-Box Adversaries","created":"2025-10-18","cited_by_count":1,"area":null},{"id":"2604.15829","title":"Beyond Text Prompts: Precise Concept Erasure through Text-Image Collaboration","created":"2026-04-17","cited_by_count":1,"area":null},{"id":"2604.25119","title":"Evaluation without Generation: Non-Generative Assessment of Harmful Model Specialization with Applications to CSAM","created":"2026-04-28","cited_by_count":1,"area":null},{"id":"2606.27147","title":"Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks","created":"2026-06-25","cited_by_count":1,"area":null},{"id":"2606.28643","title":"Obliviate: Erasing Concepts from Autoregressive Image Generation Models","created":"2026-06-26","cited_by_count":1,"area":null},{"id":"2606.29201","title":"Behavior Uncloning: Distilling Mode Redirection into Policy Weights without Inference-Time Steering","created":"2026-06-28","cited_by_count":1,"area":null},{"id":"2311.09680","title":"Trustworthy Large Models in Vision: A Survey","created":"2023-11-16","cited_by_count":0,"area":null},{"id":"2405.17069","title":"Training-free Editioning of Text-to-Image Models","created":"2024-05-27","cited_by_count":0,"area":null},{"id":"2407.16292","title":"Visual Stereotypes of Autism Spectrum in Janus-Pro-7B, DALL-E, Stable Diffusion, SDXL, FLUX, and Midjourney","created":"2024-07-23","cited_by_count":0,"area":null},{"id":"2412.00176","title":"Opt-In Art: Learning Art Styles Only from Few Examples","created":"2024-11-29","cited_by_count":0,"area":null},{"id":"2506.22685","title":"Mitigating Semantic Collapse in Generative Personalization with Test-Time Embedding Adjustment","created":"2025-06-27","cited_by_count":0,"area":null},{"id":"2508.04472","title":"Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model","created":"2025-08-06","cited_by_count":0,"area":null},{"id":"2509.12878","title":"Few to Big: Prototype Expansion Network via Diffusion Learner for Point Cloud Few-shot Semantic Segmentation","created":"2025-09-16","cited_by_count":0,"area":null},{"id":"2512.10720","title":"Beyond the Black Box: Identifiable Interpretation and Control in Generative Models via Causal Minimality","created":"2025-12-11","cited_by_count":0,"area":null},{"id":"2604.02265","title":"Modular Energy Steering for Safe Text-to-Image Generation with Foundation Models","created":"2026-04-02","cited_by_count":0,"area":null},{"id":"2605.25574","title":"Mosaic: Compositional Multi-Concept Erasure via Vector Field Blending","created":"2026-05-25","cited_by_count":0,"area":null},{"id":"2605.28137","title":"No Safe Dose: How Training Data Drives Unsafe Image Generation","created":"2026-05-27","cited_by_count":0,"area":null},{"id":"2605.29390","title":"Orthogonal Negative Guidance in Attention Feature Space for Text-to-Image Generation","created":"2026-05-28","cited_by_count":0,"area":null},{"id":"2606.06356","title":"Where Should Knowledge Enter? A Layered Framework for Knowledge Infusion in Multimodal Iterative Generative Model","created":"2026-06-04","cited_by_count":0,"area":null},{"id":"2606.25548","title":"Concept Removal for Frontier Image Generative Models","created":"2026-06-24","cited_by_count":0,"area":null},{"id":"2606.29282","title":"ScaleErasure: Inference-Time Minimal Intervention for Precise Concept Erasure in Next-Scale Autoregressive Image Generation","created":"2026-06-28","cited_by_count":0,"area":null},{"id":"2607.05407","title":"Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2607.14521","title":"Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition","created":"2026-07-16","cited_by_count":0,"area":null},{"id":"2607.14945","title":"Introspective Attention Modulation for Safe Text-to-Image Generation","created":"2026-07-16","cited_by_count":0,"area":null},{"id":"2607.18263","title":"Position: AI/ML Deepfake Research is Misaligned with AI-Generated Non-Consensual Intimate Imagery (AIG-NCII)","created":"2026-05-16","cited_by_count":0,"area":null},{"id":"2607.20159","title":"SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction","created":"2026-07-22","cited_by_count":0,"area":null},{"id":"2607.22035","title":"DCS: A Unified Conditional Sensitivity Framework for Cross-Modal Copyright Infringement Detection","created":"2026-07-24","cited_by_count":0,"area":null},{"id":"2609.27115","title":"Damnatio Memoriae: Adversarially and Selectively Forgetting Identities in the Embedding Space of Face Recognition Models","created":"2026-09-22","cited_by_count":0,"area":null},{"id":"2610.01302","title":"STAGE: Subspace-Targeted Affine Generative Erasure for Text-to-3D Models","created":"2026-10-01","cited_by_count":0,"area":null}],"next_cursor":"100"}