{"total":13,"rows":[{"id":"2410.18775","title":"Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances","created":"2024-10-24","cited_by_count":110,"area":"safety"},{"id":"2210.00968","title":"Membership Inference Attacks Against Text-to-image Generation Models","created":"2022-10-03","cited_by_count":69,"area":"safety"},{"id":"2211.02408","title":"Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis","created":"2022-11-04","cited_by_count":59,"area":"safety"},{"id":"2406.09408","title":"Data Attribution for Text-to-Image Models by Unlearning Synthesized Images","created":"2024-06-13","cited_by_count":22,"area":"safety"},{"id":"2506.16349","title":"Watermarking Autoregressive Image Generation","created":"2025-06-19","cited_by_count":16,"area":"safety"},{"id":"2311.13619","title":"Steal My Artworks for Fine-tuning? A Watermarking Framework for Detecting Art Theft Mimicry in Text-to-Image Models","created":"2023-11-22","cited_by_count":8,"area":"safety"},{"id":"2408.00352","title":"Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion","created":"2024-08-01","cited_by_count":7,"area":"safety"},{"id":"2502.16423","title":"Unified Prompt Attack Against Text-to-Image Generation Models","created":"2025-02-23","cited_by_count":5,"area":"safety"},{"id":"2503.11324","title":"Safe-VAR: Safe Visual Autoregressive Model for Text-to-Image Generative Watermarking","created":"2025-03-14","cited_by_count":4,"area":"safety"},{"id":"2506.18325","title":"NSFW-Classifier Guided Prompt Sanitization for Safe Text-to-Image Generation","created":"2025-06-23","cited_by_count":3,"area":"safety"},{"id":"2601.16140","title":"Learning to Watermark in the Latent Space of Generative Models","created":"2026-01-22","cited_by_count":3,"area":"safety"},{"id":"2509.15551","title":"PolyJuice Makes It Real: Black-Box, Universal Red Teaming for Synthetic Image Detectors","created":"2025-09-19","cited_by_count":1,"area":"safety"},{"id":"2605.19227","title":"Token by Token, Compromised: Backdoor Vulnerabilities in Unified Autoregressive Models","created":"2026-05-19","cited_by_count":1,"area":"safety"}],"next_cursor":null}