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Showing Watermarking & AI-text detection Show all papers

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NeurIPS 2026ChongqingU California, MercedWatermarking & AI-text detection

SCTI: Self-Calibrated Trident Identification of Black-Box LLM Watermarks

Zhixiong Nan, Haoyu Lu, Tao Xiang, Yiwei Wang

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Central FloridaFlorida StateFlorida InternationalWatermarking & AI-text detection

PRO: Enabling Precise and Robust Text Watermark for Open-Source LLMs

Jiaqi Xue, Yifei Zhao, Mansour Al Ghanim, Shangqian Gao and 3 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026SogangWatermarking & AI-text detection

PP-Mark: Provable and Publicly Verifiable Watermarking for Generative AI

HANKYEONG KO, Taehoon Kim

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Academia SinicaWatermarking & AI-text detection

Face Deepfake-aware Recovery via Semantic-driven Facial Representation-based Watermarking

Yuan-Chih Chen, Chun-Shien Lu

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026MonashWatermarking & AI-text detection

Multi-bit LLM Watermarking with Certified Semantic Distortion

Chenxi Gu, Si Chen, John Grundy, Xiaoning Du

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026CISPA Helmholtz Center for InforCISPAWatermarking & AI-text detection

RADIUM: RadioActive Decay of Image-Underlaid Marks

Michel Meintz, Louis Kerner, Maitri V Shah, Simon Hector and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Wuhan universityWuhanWuhan University of Science and Wuhan University of Science and ILCC, University of EdinburghWatermarking & AI-text detection

RobustStress: Stress-Testing AI-Generated Text Detectors under Gradual Perturbations

Youcheng Yan, Jinshuo Liu, Qiyuan Li, Xinya Liu and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U InnsbruckUniversität InnsbruckWatermarking & AI-text detection

Variational Cover Modification Steganography

Martin Beneš, Rainer Böhme

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Science and Technology of ChinAnt GroupWatermarking & AI-text detection

CLaW: Codec-Guided Adaptive Latent Watermarking for Traceable Diffusion Image Generation

Huangchao Song, Lingyun Yu, Cong Li, Peiqi Jiang and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026SpotlightU HoustonVirginia CommonwealthU California, RiversideWatermarking & AI-text detection

UniReFP: Robust Unified Fingerprinting for Vision Models against Cross-Task Repurposing Attacks

Ziye Geng, Guang Yang, Yihang Chen, Lingfeng Yao and 4 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026国防科技大学National University of Defense TWatermarking & AI-text detection

A Retained-Signal Interface for LLM Watermark Robustness under Paraphrase

Chen Wang, Yinxuan Huang, Yexin Cui cui, Maoqing Zhong and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 2/5
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NeurIPS 2026Chongqing University of Post andChongqing University of Posts &aU MacauChongqing University of Posts anWatermarking & AI-text detection

The road reaches every place, the short cut only one: Self-Adversarial Shortcut Mitigation for AI-Generated Image Detection

Haifeng Zhang, Qinghui He, Xiuli Bi, Bo Liu and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 2/5
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NeurIPS 2026Huazhong University of Science aThe Hong Kong PolytechnicZhengzhouWatermarking & AI-text detection

FedTrace: Generated-Content-Based Watermark Verification for Traitor Tracing in Federated Learning

Tianzhe Xiao, Haozhao Wang, Yichen Li, Qiyu Qin and 2 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Nanjing universityU AlbertaGUODIAN NANJING AUTOMATION CO.,LNanjingnanjing universityWatermarking & AI-text detection

TIDE: Trajectory-Aware Watermark Propagation for Text-to-Image Diffusion Models

Yihan Meng, Suping Xu, Yanfeng Wu, Chongjun Wang and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Institute of Automation, ChineseJilinTencent YouTu LabHangzhou DianziHuazhong University of Science aWatermarking & AI-text detection

MixForensics: Blend Before You Encode for Generalizable AI-Generated Video Detection

Ruiqi Liu, ZiAn Wang, Ruoxin Chen, Xuehai Bai and 5 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 2/5
medium 1/10
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NeurIPS 2026Institute of Computing TechnologU the Chinese Academy of ScienceWatermarking & AI-text detection

Less is More: Fewer Tokens and Blocks Make AIGI Detection Faster and More Generalizable

Haipeng Fang, Yixing Lu, Yu Li, Qiang Sheng and 2 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026U BonnRheinische Friedrich-Wilhelms UnWatermarking & AI-text detection

Beyond Bit Matching: Orthogonal Watermarks for Collusion-Resistant Image Fingerprinting

Zhakshylyk Nurlanov, Tobias Weißberg, Florian Bernard

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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67%Highly rated
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NeurIPS 2026Huazhong University of Science aThe Hong Kong PolytechnicHong Kong University of Science TsinghuaMBZUAIWatermarking & AI-text detection

VERITAS: Veracity-Enhanced Robust Identification of LLM-generated Text Against Style-shifts

Xiaoquan Yi, Haozhao Wang, Yichen Li, Wenchao Xu and 5 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
medium 1/10
strict 0/5
78%Highly rated
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NeurIPS 2026City University of Hong KongJohns HopkinsWatermarking & AI-text detection

PGID: Progressive Guided Inversion and Denoising for Robust Watermark Detection

PGID defends diffusion watermark detectors against removal and forgery attacks by progressively projecting perturbed latents back to their correct regions via guided inversion-denoising cycles, restoring reliable detection without training.

Minh Quoc Duong, Chun Tong Lei, Chun Pong Lau

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 4/5
medium 7/10
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NeurIPS 2026FacebookMeta, FAIRMetaMeta AIResearch, FacebookWatermarking & AI-text detection

TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection

TextSeal is a localized LLM watermark using dual-key generation and entropy-weighted scoring for robust provenance and distillation detection without inference overhead.

Tom Sander, Pierre Fernandez, Hongyan Chang, Tomáš Souček and 5 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026 · ▲ 1 on Hugging Face

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
91%Must read
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NeurIPS 2026Case Western ReserveWatermarking & AI-text detection

Auditing Cross-Lingual Fairness in Language Model Watermarking

Cross-lingual watermark evaluation reveals structural fairness gaps across typological language families rather than isolated language failures.

Alexander Nemecek, Osama Zafar, Debargha Ganguly, Vikash Singh and 2 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 4/5
78%Highly rated
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NeurIPS 2026BIFOLD & TU BerlinTechnische Universität BerlinWatermarking & AI-text detection

Fingerprinting Inference Systems of Large Language Models

LLM inference components cause detectable output deviations enabling fingerprinting of engines, attention backends, and hardware from queries.

Anna Wimbauer, Jonas Möller, Erik Imgrund, Konrad Rieck

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5
86%Must read
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NeurIPS 2026ETH ZurichETHZ - ETH ZurichETH Zurich and INSAIT, SofiaWatermarking & AI-text detection

Making Open-Source Text LLM Watermarks Durable Against Merging

Merge-Adversarial Training embeds durable text watermarks into open-source LLM weights via adversarial distillation, maintaining high detection rates after model merging while preserving capabilities.

Luisa Scharff, Thibaud Gloaguen, Robin Staab, Martin Vechev

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5
74%Highly rated
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NeurIPS 2026Carnegie MellonCMU, Strategy Robot, Optimized MWatermarking & AI-text detection

Watermarking Game-Playing Agents in Perfect-Information Extensive-Form Games

Adapted LLM watermarking embeds detectable hidden signals into game-playing agents in perfect-information games, bounding utility loss and enabling rapid statistical detection with minimal quality degradation.

Juho Kim, Fei Fang, Tuomas Sandholm

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 0/5
86%Must read
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NeurIPS 2026Arizona StateHarvardETHZ - ETH ZurichWatermarking & AI-text detection

ArcMark: Distortion-Free Multi-Byte LLM Watermark via Optimal Transport

ArcMark embeds multiple bytes into LLM text without distorting next-token distributions by formulating distortion-free watermarking as channel coding and deriving its information-theoretic capacity. It reliably encodes several bytes into a few hundred tokens and outperforms competing multi-bit water

Atefeh Gilani, Sajani Vithana, Carol X Long, Oliver Kosut and 2 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5