works on

From the 3 of 52 linked papers with an AI index.

activity
20242026
most citedInferDPT: Privacy-Preserving Inference for Closed-box Large Language Model

2 citations · 2 across the 10 of their papers we have counts for

collaborators

52 papers

cs.CR2026

PURA: Provably Unbiased and Robust Multi-Bit Watermarking for AI-Generated Text Attribution

Yaofei Wang, Jinyang Guo, Shuchao Du +6

Fine-grained attribution of AI-generated text is becoming increasingly important for accountability and auditing, yet existing multi-bit watermarking methods still struggle to simu…

cs.CR2026

Breadcrumbing Search Agents

Xuebin Li, Hanqing Zhao, Siyuan Liang +4

LLM-based search agents are widely used for information-seeking tasks, but their reliance on external tool returns introduces a critical security risk: web content retrieved during…

cs.CR2026

Safeguards Based on Copyable Context Cannot Provide Reliable Safety for LLMs

Pingyu Wu, Lingyao Zhu, Weiming Zhang +1

The paper shows that safeguards for large language models that rely only on copyable context cannot guarantee reliable safety for dual‑use tasks, and proposes adding hard‑to‑copy t…

cs.CR2026

FARI: Robust One-Step Inversion for Watermarking in Diffusion Models

Jindong Yang, Han Fang, Weiming Zhang +2

The paper introduces FARI, a fast one-step inversion method combined with lightweight adversarial LoRA fine-tuning to robustly extract watermarks from diffusion-generated images, a…

cs.CV2026

DNA: Dual-stage Native Attribution for Generated Image Source Tracing

Chao Wang, Kejiang Chen, Zijin Yang +4

The paper proposes DNA, a two‑stage framework that attributes generated images to their source models without additional training by first screening at the family level and then pi…

eess.AS2026

BareWave: Waveform-Native Flow-Matching Text-to-Speech

Wei Fan, Chao-Hong Tan, Qian Chen +5

Removing intermediate representations and separately trained decoding stages has become an important direction in generative modeling. In text-to-speech, however, high-quality syst…