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Bihe Zhao

3 accepted papers

2026

Data Provenance for Image Auto-Regressive Generation

ICLR 2026poster

Image autoregressive models (IARs) have recently demonstrated remarkable capabilities in visual content generation, achieving photorealistic quality and rapid synthesis through the next-token prediction paradigm adapted from large language models. As these models become widely accessible, robust dat…

Cited by 0SourceScholar
2025

BitMark: Watermarking Bitwise Autoregressive Image Generative Models

NeurIPS 2025poster

State-of-the-art text-to-image models like Infinity generate photorealistic images at an unprecedented speed. These models operate in a bitwise autoregressive manner over a discrete set of tokens that is practically infinite in size. However, their impressive generative power comes with a growing ri…

Cited by 0SourceScholar
2025

Unlocking Post-hoc Dataset Inference with Synthetic Data

ICML 2025poster

The remarkable capabilities of Large Language Models (LLMs) can be mainly attributed to their massive training datasets, which are often scraped from the internet without respecting data owners’ intellectual property rights. Dataset Inference (DI) offers a potential remedy by identifying whether a s…