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The Secret Sharer: Evaluating and Testing Unintended Memorization in
  Neural Networks
v1v2v3 (latest)

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

22 February 2018
Nicholas Carlini
Chang-rui Liu
Ulfar Erlingsson
Jernej Kos
Basel Alomair
ArXiv (abs)PDFHTML

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

50 / 788 papers shown
Title
Unveiling Over-Memorization in Finetuning LLMs for Reasoning Tasks
Unveiling Over-Memorization in Finetuning LLMs for Reasoning Tasks
Zhiwen Ruan
Yun-Nung Chen
Yutao Hou
Peng Li
Yang Liu
Guanhua Chen
148
1
0
06 Aug 2025
Win-k: Improved Membership Inference Attacks on Small Language Models
Win-k: Improved Membership Inference Attacks on Small Language Models
Roya Arkhmammadova
Hosein Madadi Tamar
M. Emre Gursoy
149
0
0
02 Aug 2025
Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems
Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems
Andrii Balashov
Olena Ponomarova
Xiaohua Zhai
AAMLSILM
113
0
0
21 Jul 2025
Rethinking Memorization Measures and their Implications in Large Language Models
Rethinking Memorization Measures and their Implications in Large Language Models
Bishwamittra Ghosh
Soumi Das
Qinyuan Wu
Mohammad Aflah Khan
Krishna P. Gummadi
Evimaria Terzi
Deepak Garg
PILM
187
0
0
20 Jul 2025
SynthTextEval: Synthetic Text Data Generation and Evaluation for High-Stakes Domains
SynthTextEval: Synthetic Text Data Generation and Evaluation for High-Stakes Domains
Krithika Ramesh
Daniel Smolyak
Zihao Zhao
Nupoor Gandhi
Ritu Agarwal
Margrét V. Bjarnadóttir
Anjalie Field
SyDaELM
370
1
0
09 Jul 2025
Entropy-Memorization Law: Evaluating Memorization Difficulty of Data in LLMs
Entropy-Memorization Law: Evaluating Memorization Difficulty of Data in LLMs
Yizhan Huang
Zhe Yang
Meifang Chen
Huang Nianchen
Jianping Zhang
Michael R. Lyu
244
1
0
08 Jul 2025
Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective
Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective
Nima Naderloui
Shenao Yan
Binghui Wang
Jie Fu
Wendy Hui Wang
Weiran Liu
Yuan Hong
AAML
207
2
0
16 Jun 2025
Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models
Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models
Zongyu Wu
Minhua Lin
Zhiwei Zhang
Fali Wang
Xianren Zhang
Xiang Zhang
Suhang Wang
287
1
0
14 Jun 2025
Memorization in Language Models through the Lens of Intrinsic Dimension
Memorization in Language Models through the Lens of Intrinsic Dimension
Stefan Arnold
PILM
273
1
0
11 Jun 2025
Multidimensional Analysis of Specific Language Impairment Using Unsupervised Learning Through PCA and Clustering
Multidimensional Analysis of Specific Language Impairment Using Unsupervised Learning Through PCA and ClusteringIEEE International Conference on Healthcare Informatics (ICHI), 2025
Niruthiha Selvanayagam
172
0
0
05 Jun 2025
Quantifying Cross-Modality Memorization in Vision-Language Models
Yuxin Wen
Yangsibo Huang
Tom Goldstein
Ravi Kumar
Badih Ghazi
Chiyuan Zhang
287
2
0
05 Jun 2025
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
Jing Xue
Zhishen Sun
Haishan Ye
Luo Luo
Xiangyu Chang
Ivor Tsang
Guang Dai
MIACVMIALM
277
0
0
03 Jun 2025
Trade-offs in Data Memorization via Strong Data Processing Inequalities
Trade-offs in Data Memorization via Strong Data Processing InequalitiesAnnual Conference Computational Learning Theory (COLT), 2025
Vitaly Feldman
Guy Kornowski
Xin Lyu
TDIFedML
388
1
0
02 Jun 2025
How much do language models memorize?
How much do language models memorize?
John X. Morris
Chawin Sitawarin
Chuan Guo
Narine Kokhlikyan
G. E. Suh
Alexander M. Rush
Kamalika Chaudhuri
Saeed Mahloujifar
KELMELM
370
22
0
30 May 2025
Bayesian Perspective on Memorization and Reconstruction
Bayesian Perspective on Memorization and Reconstruction
Haim Kaplan
Yishay Mansour
Kobbi Nissim
Uri Stemmer
AAML
213
0
0
29 May 2025
The End Of Universal Lifelong Identifiers: Identity Systems For The AI Era
The End Of Universal Lifelong Identifiers: Identity Systems For The AI Era
Shriphani Palakodety
131
0
0
29 May 2025
Vid-SME: Membership Inference Attacks against Large Video Understanding Models
Vid-SME: Membership Inference Attacks against Large Video Understanding Models
Qi Li
Runpeng Yu
Xinchao Wang
231
4
0
29 May 2025
OWL: Probing Cross-Lingual Recall of Memorized Texts via World Literature
OWL: Probing Cross-Lingual Recall of Memorized Texts via World Literature
Alisha Srivastava
Emir Korukluoglu
Minh Nhat Le
Duyen Tran
Chau Minh Pham
Marzena Karpinska
Mohit Iyyer
231
1
0
28 May 2025
Evaluation of LLMs in Speech is Often Flawed: Test Set Contamination in Large Language Models for Speech Recognition
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Yuan Tseng
Titouan Parcollet
Rogier van Dalen
Shucong Zhang
Sourav Bhattacharya
262
1
0
28 May 2025
What is the role of memorization in Continual Learning?
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Jędrzej Kozal
Jan Wasilewski
Alif Ashrafee
Bartosz Krawczyk
Michał Woźniak
137
0
0
23 May 2025
How Can I Publish My LLM Benchmark Without Giving the True Answers Away?
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Takashi Ishida
Thanawat Lodkaew
Ikko Yamane
657
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23 May 2025
lmgame-Bench: How Good are LLMs at Playing Games?
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Yu Zhang
Haoyang Yu
Eric P. Xing
Ion Stoica
Tajana Rosing
Haojian Jin
Hao Zhang
421
8
0
21 May 2025
BanglaByT5: Byte-Level Modelling for Bangla
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Arnab Bhattacharya
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Shared Path: Unraveling Memorization in Multilingual LLMs through Language Similarities
Shared Path: Unraveling Memorization in Multilingual LLMs through Language Similarities
Xiaoyu Luo
Yiyi Chen
Johannes Bjerva
Qiongxiu Li
240
1
0
21 May 2025
Fragments to Facts: Partial-Information Fragment Inference from LLMs
Fragments to Facts: Partial-Information Fragment Inference from LLMs
Lucas Rosenblatt
Bin Han
Robert Wolfe
Bill Howe
AAML
261
0
0
20 May 2025
Chain-of-Thought Driven Adversarial Scenario Extrapolation for Robust Language Models
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Md Rafi Ur Rashid
Vishnu Asutosh Dasu
Ye Wang
Gang Tan
Shagufta Mehnaz
AAMLELM
320
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0
20 May 2025
CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models
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Shristi Das Biswas
Arani Roy
Kaushik Roy
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381
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0
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NeuroGen: Neural Network Parameter Generation via Large Language Models
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Yusen Zhang
Xi Li
345
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A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability
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Jie Zhu
Jirong Zha
Ding Li
Leye Wang
400
1
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Improved Algorithms for Differentially Private Language Model Alignment
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Yizhao Xu
202
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DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection
DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy ProtectionIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2025
Xia Du
Jiajie Zhu
Jizhe Zhou
Chi-Man Pun
Zheng Lin
Cong Wu
Zhaoyu Chen
Jun Luo
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194
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Standing Firm in 5G: A Single-Round, Dropout-Resilient Secure Aggregation for Federated Learning
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R. Behnia
Imtiaz Karim
A. Yavuz
Elisa Bertino
150
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Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security
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R. Behnia
A. Yavuz
Reza Ebrahimi
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FedML
242
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Privacy-Preserving Transformers: SwiftKey's Differential Privacy Implementation
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Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation
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Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks?
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A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage
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