activity
20212026
most citedWatermarking Text Generated by Black-Box Language Models

12 citations · 31 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CR2026

Steering LLM Viewpoints through Fabricated Evidence Injection

Xi Yang, Chang Liu, Zhenglin Huang +4

As chatbots increasingly influence daily decision-making, their potential to produce misleading responses poses substantial risks to users. This paper investigates a critical cogni…

cs.CR2026

SentinelRAG: Synthetic Sentinel Knowledge for RAG Database Copyright Protection

Tsun On Kwok, Xi Yang, Ki Sen Hung +2

Protecting proprietary RAG databases from unauthorized redistribution is challenging: existing watermarking methods either inject fabricated relations between real entities, pollut…

cs.CR2026

Into the Gray Zone: Domain Contexts Can Blur LLM Safety Boundaries

Ki Sen Hung, Xi Yang, Chang Liu +7

A central goal of LLM alignment is to balance helpfulness with harmlessness, yet these objectives conflict when the same knowledge serves both legitimate and malicious purposes. Th…

cs.SD2025★ 1 cited

Exploiting Vulnerabilities in Speech Translation Systems through Targeted Adversarial Attacks

Chang Liu, Haolin Wu, Xi Yang +7

As speech translation (ST) systems become increasingly prevalent, understanding their vulnerabilities is crucial for ensuring robust and reliable communication. However, limited wo…

cs.SD2023

Detecting Voice Cloning Attacks via Timbre Watermarking

Chang Liu, Jie Zhang, Tianwei Zhang +3

Nowadays, it is common to release audio content to the public. However, with the rise of voice cloning technology, attackers have the potential to easily impersonate a specific per…

cs.CL2023★ 12 cited

Watermarking Text Generated by Black-Box Language Models

Xi Yang, Kejiang Chen, Weiming Zhang +5

LLMs now exhibit human-like skills in various fields, leading to worries about misuse. Thus, detecting generated text is crucial. However, passive detection methods are stuck in do…

cs.CL2023★ 12 cited

DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection

Xiao Yu, Yuang Qi, Kejiang Chen +6

Large language models (LLMs) have the potential to generate texts that pose risks of misuse, such as plagiarism, planting fake reviews on e-commerce platforms, or creating inflamma…

cs.MM2023★ 6 cited

OAcode: Overall Aesthetic 2D Barcode on Screen

Zehua Ma, Xi Yang, Han Fang +2

Nowadays, two-dimensional (2D) barcodes have been widely used in various domains. And a series of aesthetic 2D barcode schemes have been proposed to improve the visual quality and…

cs.CR2021

Tracing Text Provenance via Context-Aware Lexical Substitution

Xi Yang, Jie Zhang, Kejiang Chen +4

Text content created by humans or language models is often stolen or misused by adversaries. Tracing text provenance can help claim the ownership of text content or identify the ma…

cs.GR2021

Deep 3D Mesh Watermarking with Self-Adaptive Robustness

Feng Wang, Hang Zhou, Han Fang +4

Robust 3D mesh watermarking is a traditional research topic in computer graphics, which provides an efficient solution to the copyright protection for 3D meshes. Traditionally, res…