{"total":40,"rows":[{"id":"2303.07205","title":"The Science of Detecting LLM-Generated Texts","created":"2023-02-04","cited_by_count":128,"area":null},{"id":"2203.11473","title":"Federated Class-Incremental Learning","created":"2022-03-22","cited_by_count":127,"area":null},{"id":"2310.14942","title":"Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand","created":"2023-10-09","cited_by_count":57,"area":null},{"id":"2209.09024","title":"Dataset Inference for Self-Supervised Models","created":"2022-09-16","cited_by_count":36,"area":null},{"id":"2304.04620","title":"Federated Incremental Semantic Segmentation","created":"2023-04-10","cited_by_count":36,"area":null},{"id":"2402.16382","title":"Immunization against harmful fine-tuning attacks","created":"2024-02-26","cited_by_count":35,"area":null},{"id":"2502.18508","title":"REFINE: Inversion-Free Backdoor Defense via Model Reprogramming","created":"2025-02-22","cited_by_count":22,"area":null},{"id":"2202.03609","title":"PolicyCleanse: Backdoor Detection and Mitigation in Reinforcement Learning","created":"2022-02-08","cited_by_count":19,"area":null},{"id":"2507.03034","title":"Rethinking Data Protection in the (Generative) Artificial Intelligence Era","created":"2025-07-03","cited_by_count":18,"area":null},{"id":"2404.12699","title":"SOPHON: Non-Fine-Tunable Learning to Restrain Task Transferability For Pre-trained Models","created":"2024-04-19","cited_by_count":17,"area":null},{"id":"2303.11078","title":"Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection","created":"2023-03-20","cited_by_count":14,"area":null},{"id":"2301.10418","title":"DEJA VU: Continual Model Generalization For Unseen Domains","created":"2023-01-25","cited_by_count":13,"area":null},{"id":"2303.11673","title":"A Survey on Class Imbalance in Federated Learning","created":"2023-03-21","cited_by_count":13,"area":null},{"id":"2512.07247","title":"AdLift: Lifting Adversarial Perturbations to Safeguard 3D Gaussian Splatting Assets Against Instruction-Driven Editing","created":"2025-12-08","cited_by_count":10,"area":null},{"id":"2408.13161","title":"Say No to Freeloader: Protecting Intellectual Property of Your Deep Model","created":"2024-08-23","cited_by_count":7,"area":null},{"id":"2502.13593","title":"Toward Robust Non-Transferable Learning: A Survey and Benchmark","created":"2025-02-19","cited_by_count":7,"area":null},{"id":"2510.10982","title":"Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization","created":"2025-10-13","cited_by_count":7,"area":null},{"id":"2210.12651","title":"Unsupervised Non-transferable Text Classification","created":"2022-10-23","cited_by_count":6,"area":null},{"id":"2403.03590","title":"DeepEclipse: How to Break White-Box DNN-Watermarking Schemes","created":"2024-03-06","cited_by_count":5,"area":null},{"id":"2607.13336","title":"Delving into the Temporal Challenges of Unified Video Protection Against Image-to-Video and Fine-Tuning-based Customization","created":"2026-07-14","cited_by_count":5,"area":null},{"id":"2312.13500","title":"Federated Continual Novel Class Learning","created":"2023-12-21","cited_by_count":4,"area":null},{"id":"2403.04149","title":"MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection","created":"2024-03-07","cited_by_count":4,"area":null},{"id":"2406.10573","title":"Graph Neural Backdoor: Fundamentals, Methodologies, Applications, and Future Directions","created":"2024-06-15","cited_by_count":4,"area":null},{"id":"2410.00059","title":"IDEA: An Inverse Domain Expert Adaptation Based Active DNN IP Protection Method","created":"2024-09-29","cited_by_count":2,"area":null},{"id":"2410.08015","title":"Non-transferable Pruning","created":"2024-10-10","cited_by_count":2,"area":null},{"id":"2503.00441","title":"Split Adaptation for Pre-trained Vision Transformers","created":"2025-03-01","cited_by_count":2,"area":null},{"id":"2511.11851","title":"Defending Unauthorized Model Merging via Dual-Stage Weight Protection","created":"2025-11-14","cited_by_count":2,"area":null},{"id":"2602.03878","title":"Intellectual Property Protection for 3D Gaussian Splatting Assets: A Survey","created":"2026-02-02","cited_by_count":2,"area":null},{"id":"2401.11271","title":"DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection","created":"2024-01-20","cited_by_count":1,"area":null},{"id":"2403.05690","title":"Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval","created":"2024-03-08","cited_by_count":1,"area":null},{"id":"2407.06955","title":"ICLGuard: Controlling In-Context Learning Behavior for Applicability Authorization","created":"2024-07-09","cited_by_count":1,"area":null},{"id":"2506.16196","title":"Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs","created":"2025-06-19","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":"2602.01558","title":"How Implicit Bias Accumulates and Propagates in LLM Long-term Memory","created":"2026-02-02","cited_by_count":1,"area":null},{"id":"2604.09688","title":"Immunizing 3D Gaussian Generative Models Against Unauthorized Fine-Tuning via Attribute-Space Traps","created":"2026-04-06","cited_by_count":1,"area":null},{"id":"2306.13215","title":"OVLA: Neural Network Ownership Verification using Latent Watermarks","created":"2023-06-15","cited_by_count":0,"area":null},{"id":"2402.02268","title":"Federated Learning with New Knowledge: Fundamentals, Advances, and Futures","created":"2024-02-03","cited_by_count":0,"area":null},{"id":"2502.15012","title":"Graph in the Vault: Protecting Edge GNN Inference with Trusted Execution Environment","created":"2025-02-20","cited_by_count":0,"area":null},{"id":"2503.13224","title":"ProDiF: Protecting Domain-Invariant Features to Secure Pre-Trained Models Against Extraction","created":"2025-03-17","cited_by_count":0,"area":null},{"id":"2603.04896","title":"Authorize-on-Demand: Dynamic Authorization with Legality-Aware Intellectual Property Protection for VLMs","created":"2026-03-05","cited_by_count":0,"area":null}],"next_cursor":null}