{"total":25,"rows":[{"id":"2308.07026","title":"AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning","created":"2023-08-14","cited_by_count":103,"area":null},{"id":"2209.09024","title":"Dataset Inference for Self-Supervised Models","created":"2022-09-16","cited_by_count":36,"area":null},{"id":"2307.12280","title":"Downstream-agnostic Adversarial Examples","created":"2023-07-23","cited_by_count":32,"area":null},{"id":"2406.10280","title":"Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries","created":"2024-06-12","cited_by_count":25,"area":null},{"id":"2209.03563","title":"SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-supervised Learning","created":"2022-09-08","cited_by_count":9,"area":null},{"id":"2310.08571","title":"Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders","created":"2023-10-12","cited_by_count":8,"area":null},{"id":"2503.21805","title":"ImF: Implicit Fingerprint for Large Language Models","created":"2025-03-25","cited_by_count":7,"area":null},{"id":"2302.11982","title":"A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots","created":"2023-02-23","cited_by_count":5,"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":"2409.02718","title":"\"Yes, My LoRD.\" Guiding Language Model Extraction with Locality Reinforced Distillation","created":"2024-09-04","cited_by_count":5,"area":null},{"id":"2208.03948","title":"AWEncoder: Adversarial Watermarking Pre-trained Encoders in Contrastive Learning","created":"2022-08-08","cited_by_count":4,"area":null},{"id":"2402.01723","title":"An Empirical Study on Large Language Models in Accuracy and Robustness under Chinese Industrial Scenarios","created":"2024-01-27","cited_by_count":3,"area":null},{"id":"2402.04435","title":"PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection","created":"2024-02-06","cited_by_count":3,"area":null},{"id":"2402.12720","title":"Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond","created":"2024-02-20","cited_by_count":3,"area":null},{"id":"2508.19641","title":"Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses","created":"2025-08-27","cited_by_count":3,"area":null},{"id":"2310.10124","title":"A Comprehensive Study of Privacy Risks in Curriculum Learning","created":"2023-10-16","cited_by_count":2,"area":null},{"id":"2506.04556","title":"BESA: Boosting Encoder Stealing Attack with Perturbation Recovery","created":"2025-06-05","cited_by_count":2,"area":null},{"id":"2306.05233","title":"Ownership Protection of Generative Adversarial Networks","created":"2023-06-08","cited_by_count":1,"area":null},{"id":"2308.04673","title":"SSL-Auth: An Authentication Framework by Fragile Watermarking for Pre-trained Encoders in Self-supervised Learning","created":"2023-08-09","cited_by_count":1,"area":null},{"id":"2601.11683","title":"Attesting Model Lineage by Consisted Knowledge Evolution with Fine-Tuning Trajectory","created":"2026-01-16","cited_by_count":1,"area":null},{"id":"2401.05895","title":"Binary Linear Tree Commitment-based Ownership Protection for Distributed Machine Learning","created":"2024-01-11","cited_by_count":0,"area":null},{"id":"2405.04108","title":"A2-DIDM: Privacy-preserving Accumulator-enabled Auditing for Distributed Identity of DNN Model","created":"2024-05-07","cited_by_count":0,"area":null},{"id":"2408.02814","title":"Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services","created":"2024-08-05","cited_by_count":0,"area":null},{"id":"2604.22550","title":"ArmSSL: Adversarial Robust Black-Box Watermarking for Self-Supervised Learning Pre-trained Encoders","created":"2026-04-24","cited_by_count":0,"area":null},{"id":"2605.01834","title":"Repurposing and Evaluating the (In)Feasibility of Dataset Poisoning enabled Watermarking for Contrastive Learning","created":"2026-05-03","cited_by_count":0,"area":null}],"next_cursor":null}