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Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks.

, , , , , and . CIKM, page 4315-4319. ACM, (2023)

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Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering., , , , , and . CoRR, (2023)GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length., , , , , and . CoRR, (2023)Disentangled Graph Collaborative Filtering., , , , , and . SIGIR, page 1001-1010. ACM, (2020)Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond., , , , , , , and . CoRR, (2023)Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach., , , , , , and . NeurIPS, (2023)Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond., , , , , , , , and . ACM Trans. Knowl. Discov. Data, 18 (6): 160:1-160:32 (July 2024)LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning., , , , , , , and . CoRR, (2024)Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity., , , , , , and . CoRR, (2023)Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks., , , , , and . CIKM, page 4315-4319. ACM, (2023)Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering., , , , , and . WSDM, page 106-115. ACM, (2024)