11 papers
RiPPLE: Cross-Space Performance Prediction from Early Training for Neural Architecture Search
Yifan Yang, Zhaoyan Wang, Zheng Gao +2
Neural architecture search (NAS) evaluates candidate networks, but fully training enough architectures to rank an entire space is expensive. Zero-cost proxies score architectures a…
CoRA-NAS: Coarse Ranking and Anchor-Residual Refinement for Neural Architecture Search
Yifan Yang, Zhaoyan Wang, Zheng Gao +2
Zero-cost proxies rank architectures cheaply, but their reliability varies across search spaces. We introduce CoRA-NAS (COarse Ranking + Anchor-residual), a two-stage framework com…
TrajMark: Ownership Attribution and Segment-Level Tamper Localization for Coding-Agent Trajectories
Bokang Zeng, Zheng Gao, Xiaoyu Li +2
Watermarking the final patch produced by a coding agent provides provenance evidence for the submitted artifact, but does not authenticate the visible process that produced it. Beh…
DRIFT: Removing Diffusion Watermarks by Deflecting the Generative Trajectory
Rui Bao, Zheng Gao, Xiaoyu Li +3
Diffusion watermarking embeds verifiable signals into the generative process and commonly verifies them by recovering trajectory-dependent evidence, making the marks robust to conv…
IRIS: Visual-Semantic Binding for Forgery-Resistant Watermarking of Diffusion Images
Xiaoyan Feng, Zheng Gao, Tong Guan +4
Most in-generation diffusion watermarks embed patterns independent of the image that carries them, and attackers transplant the marks onto images the generator did not produce, res…
Watermark Forensics for Generative Models: An Information-Theoretic Perspective
Xiaoyu Li, Zheng Gao, Xiaoyan Feng +3
A watermark in a generative model's output is usually asked only whether a text is machine-made. The same mark can do more: attribute it to the user who produced it, extract a hidd…