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The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks

22 February 2018

Papers citing "The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks"

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SA-ADP: Sensitivity-Aware Adaptive Differential Privacy for Large Language Models Stella Etuk Ashraf Matrawy 44 0 0 01 Dec 2025
How do we measure privacy in text? A survey of text anonymization metrics Yaxuan Ren Krithika Ramesh Yaxing Yao Anjalie Field AILaw 44 0 0 30 Nov 2025
Membership Inference Attacks Beyond Overfitting Mona Khalil Alberto Blanco-Justicia N. Jebreel Josep Domingo-Ferrer MIALM 142 0 0 20 Nov 2025
Differentially Private In-Context Learning with Nearest Neighbor Search A. Koskela Tejas D. Kulkarni Laith Zumot 116 0 0 06 Nov 2025
Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing Jinhua Yin Peiru Yang Chen Yang Huili Wang Zhiyang Hu Shangguang Wang Yongfeng Huang Tao Qi 123 1 0 03 Nov 2025
EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMs Ali Satvaty Suzan Verberne Fatih Turkmen MIALM 263 0 0 31 Oct 2025
Hallucinations in Bibliographic Recommendation: Citation Frequency as a Proxy for Training Data Redundancy Junichiro Niimi HILM RALM 148 1 0 29 Oct 2025
A Survey on Unlearning in Large Language Models Ruichen Qiu Jiajun Tan Jiayue Pu Honglin Wang Xiao-Shan Gao Fei Sun MU AILaw PILM 582 0 0 29 Oct 2025
From Memorization to Reasoning in the Spectrum of Loss Curvature Jack Merullo Srihita Vatsavaya Lucius Bushnaq Owen Lewis 170 0 0 28 Oct 2025
Leverage Unlearning to Sanitize LLMs Antoine Boutet Lucas Magnana MU MedIm 178 0 0 24 Oct 2025
Blackbox Model Provenance via Palimpsestic Membership Inference Rohith Kuditipudi Jing-ling Huang Sally Zhu Diyi Yang Christopher Potts Abigail Z. Jacobs 158 0 0 22 Oct 2025
The Tail Tells All: Estimating Model-Level Membership Inference Vulnerability Without Reference Models Euodia Dodd Nataša Krčo Igor Shilov Yves-Alexandre de Montjoye 109 0 0 22 Oct 2025
Memorizing Long-tail Data Can Help Generalization Through Composition Mo Zhou Haoyang Ma Rong Ge TDI 301 0 0 18 Oct 2025
The Hidden Cost of Modeling P(X): Vulnerability to Membership Inference Attacks in Generative Text Classifiers Owais Makroo Siva Rajesh Kasa Sumegh Roychowdhury Karan Gupta Nikhil Pattisapu Santhosh Kumar Kasa Sumit Negi SILM 178 0 0 17 Oct 2025
An Investigation of Memorization Risk in Healthcare Foundation Models S. Tonekaboni Lena Stempfle Adibvafa Fallahpour Walter Gerych Elisa Kreiss 109 0 0 14 Oct 2025
Early Detection and Reduction of Memorisation for Domain Adaptation and Instruction Tuning Dean L. Slack Noura Al Moubayed 100 0 0 13 Oct 2025
CoSPED: Consistent Soft Prompt Targeted Data Extraction and Defense Yang Zhuochen Fok Kar Wai Thing Vrizlynn AAML SILM 222 0 0 13 Oct 2025
Secret-Protected Evolution for Differentially Private Synthetic Text Generation Tianze Wang Zhaoyu Chen Jian Du Yingtai Xiao Linjun Zhang Qiang Yan SyDa 125 0 0 13 Oct 2025
The Model's Language Matters: A Comparative Privacy Analysis of LLMs Abhishek K. Mishra Antoine Boutet Lucas Magnana PILM 184 0 0 09 Oct 2025
Exploring Cross-Client Memorization of Training Data in Large Language Models for Federated Learning Tinnakit Udsa Can Udomcharoenchaikit Patomporn Payoungkhamdee Sarana Nutanong Norrathep Rattanavipanon FedML 80 0 0 09 Oct 2025
LLM-Assisted Modeling of Semantic Web-Enabled Multi-Agents Systems with AJAN Hacane Hechehouche Andre Antakli Matthias Klusch LLMAG 3DV 188 1 0 08 Oct 2025
Data Provenance Auditing of Fine-Tuned Large Language Models with a Text-Preserving Technique Yanming Li Seifeddine Ghozzi Cédric Eichler Nicolas Anciaux Alexandra Bensamoun Lorena Gonzalez-Manzano WaLM 180 0 0 07 Oct 2025
Private and Fair Machine Learning: Revisiting the Disparate Impact of Differentially Private SGD Lea Demelius Dominik Kowald Simone Kopeinik Roman Kern A. Trugler FedML 109 0 0 02 Oct 2025
Towards Verifiable Federated Unlearning: Framework, Challenges, and The Road Ahead Thanh Linh Nguyen Marcela Tuler de Oliveira An Braeken Aaron Yi Ding Quoc-Viet Pham MU 73 0 0 01 Oct 2025
"We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in EuropeSymposium On Usable Privacy and Security (SOUPS), 2025 Alexandra Klymenko Stephen Meisenbacher Patrick Gage Kelley Sai Teja Peddinti Kurt Thomas Florian Matthes 107 0 0 01 Oct 2025
Adaptive Token-Weighted Differential Privacy for LLMs: Not All Tokens Require Equal Protection Manjiang Yu Priyanka Singh Xue Li Yang Cao AAML 100 0 0 27 Sep 2025
Non-Linear Trajectory Modeling for Multi-Step Gradient Inversion Attacks in Federated Learning Li Xia Zheng Liu Sili Huang Wei Tang Xuan Liu Xuan Liu AAML 108 1 0 26 Sep 2025
Functional Encryption in Secure Neural Network Training: Data Leakage and Practical Mitigations Alexandru Ioniţă Andreea Ioniţă FedML 76 0 0 25 Sep 2025
No Prior, No Leakage: Revisiting Reconstruction Attacks in Trained Neural Networks Yehonatan Refael Guy Smorodinsky Ofir Lindenbaum Itay Safran MIACV AAML 255 0 0 25 Sep 2025
GEP: A GCG-Based method for extracting personally identifiable information from chatbots built on small language models Jieli Zhu Vi Ngoc-Nha Tran 192 0 0 25 Sep 2025
Efficiently Attacking Memorization Scores Tue Do Varun Chandrasekaran Daniel Alabi TDI AAML 222 0 0 24 Sep 2025
Memory in Large Language Models: Mechanisms, Evaluation and Evolution D. Zhang Wendong Li Kani Song Jiaye Lu Gang Li Liuchun Yang Sheng Li KELM 197 1 0 23 Sep 2025
SynBench: A Benchmark for Differentially Private Text Generation Yidan Sun Viktor Schlegel Srinivasan Nandakumar Iqra Zahid Yuping Wu ... Jie Zhang Warren Del-Pinto Goran Nenadic S. Lam Anil A Bharath SyDa 133 0 0 18 Sep 2025
Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning Zhaoyang Chu Yao Wan Z. Zhang Di Wang Zhou Yang H. Zhang Pan Zhou Xuanhua Shi Hai Jin David Lo MU AAML 126 1 0 17 Sep 2025
Why Data Anonymization Has Not Taken OffCustomer Needs and Solutions (CNS), 2025 Matthew J. Schneider James Bailie Dawn Iacobucci 134 1 0 12 Sep 2025
Differentially Private Decentralized Dataset Synthesis Through Randomized Mixing with Correlated Noise Utsab Saha Tanvir Muntakim Tonoy Hafiz Imtiaz 80 0 0 12 Sep 2025
Generative Data Refinement: Just Ask for Better Data Minqi Jiang João G. M. Araújo Will Ellsworth Sian Gooding Edward Grefenstette 172 3 0 10 Sep 2025
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Hritik Arasu Faisal R Jahangiri DiffM 132 0 0 09 Sep 2025
PLRV-O: Advancing Differentially Private Deep Learning via Privacy Loss Random Variable Optimization Qin Yang Nicholas Stout Meisam Mohammady Zheng Chen Ayesha Samreen Christopher J Quinn Yan Yan A. Kundu Yuan Hong 68 0 0 08 Sep 2025
Beyond ATE: Multi-Criteria Design for A/B Testing Jiachun Li Kaining Shi David Simchi-Levi 89 0 0 06 Sep 2025
AntiDote: Bi-level Adversarial Training for Tamper-Resistant LLMs Debdeep Sanyal Manodeep Ray Murari Mandal AAML 148 0 0 06 Sep 2025
Privacy Risks in Time Series Forecasting: User- and Record-Level Membership Inference Nicolas Johansson Tobias Olsson Daniel Nilsson Johan Östman Fazeleh Hoseini AI4TS 172 0 0 04 Sep 2025
Discrete Functional Geometry of ReLU Networks via ReLU Transition Graphs Sahil Rajesh Dhayalkar 122 0 0 03 Sep 2025
Safe-LLaVA: A Privacy-Preserving Vision-Language Dataset and Benchmark for Biometric Safety Younggun Kim S. Swetha Fazil Kagdi Mubarak Shah PILM 246 3 0 29 Aug 2025
Embodied AI: Emerging Risks and Opportunities for Policy Action Jared Perlo Alexander Robey Fazl Barez Luciano Floridi Jakob Mokander 206 2 0 28 Aug 2025
Tackling Federated Unlearning as a Parameter Estimation Problem Antonio Balordi Lorenzo Manini Fabio Stella Alessio Merlo FedML MU 116 0 0 26 Aug 2025
Membership Inference Attacks on LLM-based Recommender Systems Jiajie He Yuechun Gu Min-Chun Chen Keke Chen AAML 216 1 0 26 Aug 2025
Attacking LLMs and AI Agents: Advertisement Embedding Attacks Against Large Language Models Qiming Guo Jinwen Tang Xingran Huang 117 0 0 25 Aug 2025
Towards a Real-World Aligned Benchmark for Unlearning in Recommender Systems Pierre Lubitzsch Olga Ovcharenko Hao Chen Maarten de Rijke Sebastian Schelter MU CML 136 0 0 23 Aug 2025
Demystifying Foreground-Background Memorization in Diffusion Models Jimmy Z. Di Yiwei Lu Yaoliang Yu Gautam Kamath Adam Dziedzic Franziska Boenisch DiffM 145 0 0 16 Aug 2025

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The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks

Papers citing "The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks"