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arXivPrivacy

What Gradients Add to Text Leakage in Split Language Models, Counted per Token and per Document

Split-language-model gradients boost token recovery to 97.38% and document reconstruction to 37.77%, so split traffic requires per-token and per-document leakage reporting.

Georgios Politis, Evangelos Pappas

Published Oct 2, 2026 · ▲ 8 on Hugging Face

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lenient 5/5
medium 6/10
strict 2/5
70%Highly rated
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NAACL 2025Privacy

Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench

MLLMU-Bench evaluates privacy risks in multimodal large language models via standardized leakage and inference benchmarks.

Zheyuan Liu, Guangyao Dou, Mengzhao Jia, Zhaoxuan Tan and 3 more

Published 2025 · 5 citations

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lenient 3/5
medium 2/10
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ICML 2024Privacy

Verification of Machine Unlearning is Fragile

Verification of machine unlearning is fragile because model providers can circumvent verification strategies and retain supposedly unlearned data.

Binchi Zhang, Zihan Chen, Cong Shen, Jundong Li

Published Aug 1, 2024 · 0 citations

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NeurIPS 2026U New South WalesU SydneyPrivacy

On the Price of Privacy for Language Identification and Generation

Xiaoyu Li, Andi Han, Jiaojiao Jiang, Junbin Gao

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

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NeurIPS 2026SoutheastTongjiPrivacy

Privacy Meets Hierarchy: Differentially Private Distributed Trilevel Learning

Yang Jiao, Kai Yang

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

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NeurIPS 2026Morph ResearchPrivacy

DP-EGGROLL: Centered Fitness-Vector Privatization for Backprop-Free Differentially Private Optimization

David T Zagardo

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Pohang University of Science andGwangju Institute of Science andPOSTECHPrivacy

I2V-DETACH: Source Grounding Detachment for Unauthorized Image-to-Video Generation

Chanhui Lee, Yeonghwan Song, Yewon Kang, Jeany Son

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

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lenient 2/5
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NeurIPS 2026PurduePrivacy

Tail Wags the Model: Generalization and Membership Privacy Trade-offs of Sharpness-Aware Minimization

Young In Kim, Rajiv Khanna

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

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NeurIPS 2026Brigham YoungFlorida StatePrivacy

GraphIP–Bench: How Hard Is It to Steal a Graph Neural Network, and Can We Stop It?

Kaixiang Zhao, Bolin Shen, Yuyang Dai, Shayok Chakraborty and 1 more

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

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NeurIPS 2026Visa ResearchVISA ResearchU FloridaVISAPrivacy

Privacy-Preserving Retrieval-Augmented Generation with Plausible Deniability

Wenxuan Bao, Shan Jin, Vincent Bindschaedler, Yiwei Cai

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026SpotlightU CopenhagenPrivacy

Optimal Rates for Adaptive Private $k$-PCA

Johanna Düngler, Amartya Sanyal

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026CISPA Helmholtz Center for InforCISPAPrivacy

Benchmarking Membership Privacy Risks in Preference-Based LLM Post-Training

Lorenzo Rossi, Kaif Shaikh, Franziska Boenisch, Adam Dziedzic

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

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NeurIPS 2026CISPA Helmholtz Center for InforCISPAPrivacy

Auditing Privacy Leakage in Tabular Foundation Model Embeddings

Xun Wang, Adam Dziedzic, Michael Backes, Franziska Boenisch

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

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NeurIPS 2026U North Carolina at Chapel HillArizona State University of North Carolina atPrivacy

Guarding the Life Code: Preserving Membership Privacy in Genomic Foundation Models

Xinyu Zhao, Jinhao Duan, Zhen Tan, Tianlong Chen

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

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NeurIPS 2026ZhejiangThe State Key Laboratory of BlocIndependentKAUSTKing Abdullah University of SciePrivacy

Ask in the Crowd: Differentially Private LLM Inference via Dummy-Augmented Shuffling

Zhihao Liu, Zixiong Guo, Shuo Shao, Yu He and 4 more

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

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NeurIPS 2026U OuluELLIS Institute Finland & UnPrivacy

How Private is Private? A Comparative Study for Face De-Identification

Hui Wei, Hao Yu, Hui Kuurila-Zhang, Guoying Zhao

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

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NeurIPS 2026Dalian MaritimeGuangzhouOcean University of ChinaNortheasternPrivacy

LDPCache: Locally Differentially Private Multi-Query Processing with Cache Optimization for Large Language Models

Haoqiang Shi, Ning Wang, Chuan He, Qian Ma and 4 more

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

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NeurIPS 2026RutgersMeta FAIRPrivacy

Towards Hyperparameter Transfer for Differentially Private Optimization

Tianze Wang, Zhiqi Bu, Linjun Zhang

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

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NeurIPS 2026Aerospace Information Research IShandongAerospace Information Research IAerospace Information Research IPrivacy

Auditing Single-Query Recoverability in Self-Supervised Representations

zirui wang, Guangqiang He, PangWu, Peng Wang and 4 more

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

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NeurIPS 2026Huazhong University of Science aBeijing University of Posts and The Hong Kong PolytechnicU CambridgePrivacy

Personalized Safety in Federated Fine-Tuning of Large Language Models

Tianzhe Xiao, Gaozhuo Liu, Yichen Li, Haozhao Wang and 3 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026OralZhejiangGuangdong OPPO Mobile TelecommunOPPO Research Institute Privacy

EntiRE: Invariant Learning for Robust Concept Erasure in Text-to-Image Generative Models

Fengyuan Yu, Yuyuan Li, XiaoHua Feng, Li Zhang and 4 more

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

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NeurIPS 2026Nanjing universityMorgan StanleyNanjingRutgersPrivacy

The Price of Locality in Label Privacy: Optimal Rates for Classification and Regression

Zongrui Zou, Mina Dalirrooyfard, Jingcheng Liu, Jalaj Upadhyay

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

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NeurIPS 2026NorthwesternEnsemble AIU California, BerkeleyPrivacy

On Differential Private $\ell_1$, $\ell_2$ and $\ell_p^p$ Distance Queries

Erzhi Liu, Jerry Yao-Chieh Hu, Alex Reneau, Zhao Song and 1 more

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

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NeurIPS 2026U Texas at AustinU WaterlooPrivacy

A Private Empirical Defense Against Privacy Audits

Saloni Modi, Srivi Balaji, Yusong Zhu, Gautam Kamath and 1 more

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

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NeurIPS 2026Nanjing University of Posts and Huazhong University of Science aPrivacy

Budget-Conditioned Clipping Policies for Differentially Private Federated Learning

Hao Zhou, SiQi Cai, Hua Dai, Letian Sha 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 2026SoongsilChung-AngAIM IntelligenceChung-Ang Univ., KoreaPrivacy

MUTE: Multi-Level Alignment Uncoupling Against Talking-Head Exploitation for Voice Protection

Donghyun Kim, Jin Hong, seungmin Kim, Dain Kim and 2 more

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

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lenient 2/5
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NeurIPS 2026UCSDNortheasternPrivacy

Position: LLM Privacy Requires a Lifecycle-Wide Approach

Niloofar Mireshghallah, Tianshi Li

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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lenient 2/5
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NeurIPS 2026U WindsorCase Western ReservePrivacy

Don't Deploy Fine-Tuned Genomic Foundation Models Without Privacy Evaluation: Reconstruction Vulnerability Is Unpredictable Without Empirical Measurement

Reem Al-Saidi, Erman Ayday, Ziad Kobti

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

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NeurIPS 2026Shanghai University of Finance aYorkPrivacy

Inference for Many Quantiles under Local Differential Privacy

Qirui Hu, Yi Liu

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026OralNanyang TechnologicalAnt International GroupAnt International, Ant GroupU Science and Technology of ChinPrivacy

Felid: A Flexible and Efficient Design for Transformer Fine-Tuning over Encrypted Data

Linru Zhang, Jun J Sim, Xiangning Wang, Jiahao Zhong and 10 more

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

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NeurIPS 2026Seoul NationalPrivacy

Shared-Noise Mechanisms for Verifiable Differentially Private Counting

Sehyeon Park, Chenglin Fan

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

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NeurIPS 2026BocconiHSLUHarvardPrivacy

Settling Pure Differentially Private Covariance Estimation

Tommaso d’Orsi, Gleb Novikov, Walter McKelvie

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

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NeurIPS 2026ISTAInstitute of Science and TechnolInstitute of Science and TechnolPrivacy

On Differentially Private Mechanisms for Linear Regression

Bardiya Aryanfard, Monika Henzinger, Farhood Rostamkhani

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Chung-AngPrivacy

Improved Robust Verifiable Federated Learning Based on Packed Secret Sharing

Jinhyuk Choi, Hyung Tae Lee

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

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NeurIPS 2026Virginia Polytechnic Institute aADAAdaPrivacy

Evaluating an Evaluation: Membership Inference Attacks as Machine Unlearning Diagnostics

Umid Suleymanov, Laman Aliyeva, Nihat Abdullayev, Saida Zarbiyeva and 1 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Korea Advanced Institute of ScieKAISTPrivacy

Local FDR Membership Inference Attacks: Multiple Testing and the Role of Ridge Regularization

Jinyoung Hong, Bonwoo Lee, Jeongyoun Ahn

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

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NeurIPS 2026NortheasternCarnegie MellonPrivacy

Optimal Byzantine-resilient Federated Learning with User-level Differential Privacy

Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong and 1 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Hong Kong University of Science The Hong Kong University of SciePrivacy

Private Online Prediction from Experts with Small Losses

Bo Li, Peng Ye

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

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NeurIPS 2026Imperial College London & MAImperial College LondonPrivacy

Estimating Model-Level Membership Inference Vulnerability Without Reference Models

Euodia Dodd, Natasa Krco, Igor Shilov, Matthew R Wicker and 1 more

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

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NeurIPS 2026National University of SingaporeNUSPrivacy

Asymptotically Optimal Best Arm Identification with Fixed-Budget under Differential Privacy

Keqin Chen, Jie Bian, Yulian Wu, Vincent Tan

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

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