{"total":36,"rows":[{"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":"2405.09786","title":"IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency","created":"2024-05-16","cited_by_count":39,"area":null},{"id":"2303.11470","title":"Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking","created":"2023-03-20","cited_by_count":37,"area":null},{"id":"2402.11473","title":"Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection","created":"2024-02-18","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":"2302.09457","title":"Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective","created":"2023-02-19","cited_by_count":20,"area":null},{"id":"2306.06209","title":"Backdoor Attack with Sparse and Invisible Trigger","created":"2023-05-11","cited_by_count":20,"area":null},{"id":"2408.05500","title":"PointNCBW: Towards Dataset Ownership Verification for Point Clouds via Negative Clean-label Backdoor Watermark","created":"2024-08-10","cited_by_count":20,"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":"2410.16618","title":"SoK: Dataset Copyright Auditing in Machine Learning Systems","created":"2024-10-22","cited_by_count":15,"area":null},{"id":"2307.15860","title":"What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Network","created":"2023-07-29","cited_by_count":10,"area":null},{"id":"2507.05622","title":"DATABench: Evaluating Dataset Auditing in Deep Learning from an Adversarial Perspective","created":"2025-07-08","cited_by_count":8,"area":null},{"id":"2502.05087","title":"Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs","created":"2025-02-07","cited_by_count":7,"area":null},{"id":"2510.08094","title":"DarkHash: A Data-Free Backdoor Attack Against Deep Hashing","created":"2025-10-09","cited_by_count":6,"area":null},{"id":"2306.08313","title":"A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks","created":"2023-06-14","cited_by_count":5,"area":null},{"id":"2405.15161","title":"Are You Copying My Prompt? Protecting the Copyright of Vision Prompt for VPaaS via Watermark","created":"2024-05-24","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":"2504.21730","title":"Cert-SSBD: Certified Backdoor Defense with Sample-Specific Smoothing Noises","created":"2025-04-30","cited_by_count":4,"area":null},{"id":"2503.05794","title":"CBW: Towards Dataset Ownership Verification for Speaker Verification via Clustering-based Backdoor Watermarking","created":"2025-03-02","cited_by_count":3,"area":null},{"id":"2403.10663","title":"Not Just Change the Labels, Learn the Features: Watermarking Deep Neural Networks with Multi-View Data","created":"2024-03-15","cited_by_count":2,"area":null},{"id":"2409.16491","title":"Proactive Schemes: A Survey of Adversarial Attacks for Social Good","created":"2024-09-24","cited_by_count":2,"area":null},{"id":"2507.00724","title":"Holmes: Towards Effective and Harmless Model Ownership Verification to Personalized Large Vision Models via Decoupling Common Features","created":"2025-06-24","cited_by_count":2,"area":null},{"id":"2507.12022","title":"Dataset Ownership Verification for Pre-trained Masked Models","created":"2025-07-16","cited_by_count":2,"area":null},{"id":"2508.01074","title":"Evading Data Provenance in Deep Neural Networks","created":"2025-08-01","cited_by_count":2,"area":null},{"id":"2510.09210","title":"Provable Watermarking for Data Poisoning Attacks","created":"2025-10-10","cited_by_count":2,"area":null},{"id":"2510.14299","title":"TED++: Submanifold-Aware Backdoor Detection via Layerwise Tubular-Neighbourhood Screening","created":"2025-10-16","cited_by_count":2,"area":null},{"id":"2510.26420","title":"SSCL-BW: Sample-Specific Clean-Label Backdoor Watermarking for Dataset Ownership Verification","created":"2025-10-30","cited_by_count":2,"area":null},{"id":"2608.04314","title":"Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle","created":"2026-08-05","cited_by_count":2,"area":null},{"id":"2505.04977","title":"ChainMarks: Securing DNN Watermark with Cryptographic Chain","created":"2025-05-08","cited_by_count":1,"area":null},{"id":"2506.23066","title":"CoreMark: Toward Robust and Universal Text Watermarking Technique","created":"2025-06-29","cited_by_count":1,"area":null},{"id":"2512.14439","title":"VICTOR: Dataset Copyright Auditing in Video Recognition Systems","created":"2025-12-16","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":"2406.13411","title":"Composite Concept Extraction through Backdooring","created":"2024-06-19","cited_by_count":0,"area":null},{"id":"2606.21240","title":"DIPBox: A Multi-scale Testing Framework for Tracking Dataset Regeneration","created":"2026-06-19","cited_by_count":0,"area":null},{"id":"2606.26257","title":"Dataset Usage Inference without Shadow Models or Held-out Data","created":"2026-06-24","cited_by_count":0,"area":null},{"id":"2609.34232","title":"Trustworthy synthetic visual media: Evidence across the media lifecycle","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}