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cs.LG2025
Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models
Tomáš Souček, Sylvestre-Alvise Rebuffi, Pierre Fernandez +5
Recent years have seen a surge in interest in digital content watermarking techniques, driven by the proliferation of generative models and increased legal pressure. With an ever-g…
cs.LG2025
FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE
Khiem Le, Tuan Tran, Ting Hua +1
Existing resource-adaptive LoRA federated fine-tuning methods enable clients to fine-tune models using compressed versions of global LoRA matrices, in order to accommodate various…