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  4. Cited By
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 / 791 papers shown
Privacy Backdoors: Enhancing Membership Inference through Poisoning
  Pre-trained Models
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
Yuxin Wen
Leo Marchyok
Sanghyun Hong
Jonas Geiping
Tom Goldstein
Nicholas Carlini
SILMAAML
272
27
0
01 Apr 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks,
  Attacks, and Countermeasures
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures
Thanh Tam Nguyen
T. T. Huynh
Zhao Ren
Thanh Toan Nguyen
Phi Le Nguyen
Hongzhi Yin
Quoc Viet Hung Nguyen
447
12
0
31 Mar 2024
Concerned with Data Contamination? Assessing Countermeasures in Code
  Language Model
Concerned with Data Contamination? Assessing Countermeasures in Code Language Model
Jialun Cao
Wuqi Zhang
Shing-Chi Cheung
399
23
0
25 Mar 2024
Differentially Private Next-Token Prediction of Large Language Models
Differentially Private Next-Token Prediction of Large Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
James Flemings
Meisam Razaviyayn
Murali Annavaram
455
20
0
22 Mar 2024
Does Differentially Private Synthetic Data Lead to Synthetic
  Discoveries?
Does Differentially Private Synthetic Data Lead to Synthetic Discoveries?
Ileana Montoya Perez
P. Movahedi
Valtteri Nieminen
A. Airola
T. Pahikkala
321
5
0
20 Mar 2024
Robustness Verifcation in Neural Networks
Robustness Verifcation in Neural Networks
Adrian Wurm
220
0
0
20 Mar 2024
RAFT: Adapting Language Model to Domain Specific RAG
RAFT: Adapting Language Model to Domain Specific RAG
Tianjun Zhang
Shishir G. Patil
Naman Jain
Sheng Shen
Matei A. Zaharia
Ion Stoica
Joseph E. Gonzalez
RALM
316
296
0
15 Mar 2024
ProMark: Proactive Diffusion Watermarking for Causal Attribution
ProMark: Proactive Diffusion Watermarking for Causal AttributionComputer Vision and Pattern Recognition (CVPR), 2024
Vishal Asnani
John Collomosse
Tu Bui
Xiaoming Liu
S. Agarwal
WIGMDiffM
417
27
0
14 Mar 2024
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy
  Traps
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy TrapsConference on Computer and Communications Security (CCS), 2024
Ruixuan Liu
Tianhao Wang
Yang Cao
Li Xiong
AAMLSILM
628
28
0
14 Mar 2024
Efficiently Computing Similarities to Private Datasets
Efficiently Computing Similarities to Private DatasetsInternational Conference on Learning Representations (ICLR), 2024
A. Backurs
Zinan Lin
S. Mahabadi
Sandeep Silwal
Jakub Tarnawski
241
6
0
13 Mar 2024
Second-Order Information Matters: Revisiting Machine Unlearning for
  Large Language Models
Second-Order Information Matters: Revisiting Machine Unlearning for Large Language Models
Kang Gu
Md Rafi Ur Rashid
Najrin Sultana
Shagufta Mehnaz
MU
254
16
0
13 Mar 2024
Federated Learning Under Attack: Exposing Vulnerabilities through Data
  Poisoning Attacks in Computer Networks
Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks
Ehsan Nowroozi
Imran Haider
R. Taheri
Mauro Conti
AAML
229
26
0
05 Mar 2024
ROME: Memorization Insights from Text, Logits and Representation
ROME: Memorization Insights from Text, Logits and Representation
Bo Li
Qing Xia Zhao
Lijie Wen
236
7
0
01 Mar 2024
Teach LLMs to Phish: Stealing Private Information from Language Models
Teach LLMs to Phish: Stealing Private Information from Language Models
Ashwinee Panda
Christopher A. Choquette-Choo
Zhengming Zhang
Yaoqing Yang
Prateek Mittal
PILM
285
36
0
01 Mar 2024
Differentially Private Knowledge Distillation via Synthetic Text Generation
Differentially Private Knowledge Distillation via Synthetic Text Generation
James Flemings
Murali Annavaram
SyDa
409
18
0
01 Mar 2024
Follow My Instruction and Spill the Beans: Scalable Data Extraction from
  Retrieval-Augmented Generation Systems
Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems
Zhenting Qi
Hanlin Zhang
Eric Xing
Sham Kakade
Hima Lakkaraju
SILM
269
44
0
27 Feb 2024
LLM-based Privacy Data Augmentation Guided by Knowledge Distillation
  with a Distribution Tutor for Medical Text Classification
LLM-based Privacy Data Augmentation Guided by Knowledge Distillation with a Distribution Tutor for Medical Text Classification
Yiping Song
Juhua Zhang
Zhiliang Tian
Yuxin Yang
Shiyu Huang
Dongsheng Li
174
14
0
26 Feb 2024
Fast Adversarial Attacks on Language Models In One GPU Minute
Fast Adversarial Attacks on Language Models In One GPU Minute
Vinu Sankar Sadasivan
Shoumik Saha
Gaurang Sriramanan
Priyatham Kattakinda
Atoosa Malemir Chegini
Soheil Feizi
MIALM
334
65
0
23 Feb 2024
Machine Unlearning of Pre-trained Large Language Models
Machine Unlearning of Pre-trained Large Language Models
Jin Yao
Eli Chien
Minxin Du
Xinyao Niu
Tianhao Wang
Zezhou Cheng
Xiang Yue
MU
407
84
0
23 Feb 2024
Watermarking Makes Language Models Radioactive
Watermarking Makes Language Models Radioactive
Tom Sander
Pierre Fernandez
Alain Durmus
Matthijs Douze
Teddy Furon
WaLM
184
37
0
22 Feb 2024
SpanSeq: Similarity-based sequence data splitting method for improved
  development and assessment of deep learning projects
SpanSeq: Similarity-based sequence data splitting method for improved development and assessment of deep learning projects
A. F. Florensa
J. J. A. Armenteros
Henrik Nielsen
F. Aarestrup
P. Clausen
165
0
0
22 Feb 2024
Privacy-Preserving Instructions for Aligning Large Language Models
Privacy-Preserving Instructions for Aligning Large Language Models
Da Yu
Peter Kairouz
Sewoong Oh
Zheng Xu
454
34
0
21 Feb 2024
Proving membership in LLM pretraining data via data watermarks
Proving membership in LLM pretraining data via data watermarks
Johnny Tian-Zheng Wei
Ryan Yixiang Wang
Robin Jia
WaLM
283
48
0
16 Feb 2024
DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated
  Learning as a Service
DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service
Yu Liu
Zibo Wang
Yifei Zhu
Chen Chen
FedML
168
7
0
15 Feb 2024
PAL: Proxy-Guided Black-Box Attack on Large Language Models
PAL: Proxy-Guided Black-Box Attack on Large Language Models
Chawin Sitawarin
Norman Mu
David Wagner
Alexandre Araujo
ELM
226
44
0
15 Feb 2024
Copyright Traps for Large Language Models
Copyright Traps for Large Language Models
Matthieu Meeus
Igor Shilov
Manuel Faysse
Yves-Alexandre de Montjoye
341
37
0
14 Feb 2024
Information Complexity of Stochastic Convex Optimization: Applications
  to Generalization and Memorization
Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization
Idan Attias
Gintare Karolina Dziugaite
Mahdi Haghifam
Roi Livni
Daniel M. Roy
318
10
0
14 Feb 2024
Rethinking Machine Unlearning for Large Language Models
Rethinking Machine Unlearning for Large Language Models
Sijia Liu
Yuanshun Yao
Jinghan Jia
Stephen Casper
Nathalie Baracaldo
...
Hang Li
Kush R. Varshney
Mohit Bansal
Sanmi Koyejo
Yang Liu
AILawMU
428
196
0
13 Feb 2024
Implicit Bias in Noisy-SGD: With Applications to Differentially Private
  Training
Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training
Tom Sander
Maxime Sylvestre
Alain Durmus
176
2
0
13 Feb 2024
PANORAMIA: Privacy Auditing of Machine Learning Models without
  Retraining
PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining
Mishaal Kazmi
H. Lautraite
Alireza Akbari
Mauricio Soroco
Qiaoyue Tang
Tao Wang
Sébastien Gambs
Mathias Lécuyer
247
18
0
12 Feb 2024
Do Membership Inference Attacks Work on Large Language Models?
Do Membership Inference Attacks Work on Large Language Models?
Michael Duan
Anshuman Suri
Niloofar Mireshghallah
Sewon Min
Weijia Shi
Luke Zettlemoyer
Yulia Tsvetkov
Yejin Choi
David Evans
Hanna Hajishirzi
MIALM
390
156
0
12 Feb 2024
Differentially Private Zeroth-Order Methods for Scalable Large Language
  Model Finetuning
Differentially Private Zeroth-Order Methods for Scalable Large Language Model Finetuning
Zhicheng Liu
Jian Lou
Wenxuan Bao
Yihan Hu
Baochun Li
Zhan Qin
K. Ren
417
13
0
12 Feb 2024
On provable privacy vulnerabilities of graph representations
On provable privacy vulnerabilities of graph representations
Ruofan Wu
Guanhua Fang
Qiying Pan
Mingyang Zhang
Tengfei Liu
Weiqiang Wang
AAML
203
2
0
06 Feb 2024
Defining Neural Network Architecture through Polytope Structures of
  Dataset
Defining Neural Network Architecture through Polytope Structures of Dataset
Sangmin Lee
Abbas Mammadov
Jong Chul Ye
403
1
0
04 Feb 2024
Double-Dip: Thwarting Label-Only Membership Inference Attacks with
  Transfer Learning and Randomization
Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization
Arezoo Rajabi
Reeya Pimple
Aiswarya Janardhanan
Surudhi Asokraj
Bhaskar Ramasubramanian
Radha Poovendran
251
0
0
02 Feb 2024
CroissantLLM: A Truly Bilingual French-English Language Model
CroissantLLM: A Truly Bilingual French-English Language Model
Manuel Faysse
Patrick Fernandes
Nuno M. Guerreiro
António Loison
Duarte M. Alves
...
François Yvon
André F.T. Martins
Gautier Viaud
C´eline Hudelot
Pierre Colombo
670
51
0
01 Feb 2024
Do LLMs Dream of Ontologies?
Do LLMs Dream of Ontologies?ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2024
Marco Bombieri
Paolo Fiorini
Simone Paolo Ponzetto
M. Rospocher
CLL
351
5
0
26 Jan 2024
Exploring Musical Roots: Applying Audio Embeddings to Empower Influence
  Attribution for a Generative Music Model
Exploring Musical Roots: Applying Audio Embeddings to Empower Influence Attribution for a Generative Music ModelInternational Society for Music Information Retrieval Conference (ISMIR), 2024
Julia Barnett
Hugo Flores Garcia
Bryan Pardo
199
14
0
25 Jan 2024
Inference Attacks Against Face Recognition Model without Classification
  Layers
Inference Attacks Against Face Recognition Model without Classification Layers
Yuanqing Huang
Huilong Chen
Yinggui Wang
Lei Wang
181
2
0
24 Jan 2024
Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable
  Stress Detection
Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress DetectionItalian National Conference on Sensors (INS), 2024
Lucas Lange
Nils Wenzlitschke
Erhard Rahm
142
13
0
24 Jan 2024
Red Teaming Visual Language Models
Red Teaming Visual Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Mukai Li
Lei Li
Yuwei Yin
Masood Ahmed
Zhenguang Liu
Qi Liu
VLM
242
52
0
23 Jan 2024
Secure Federated Learning Approaches to Diagnosing COVID-19
Secure Federated Learning Approaches to Diagnosing COVID-19
Rittika Adhikari
Christopher Settles
FedMLOOD
178
1
0
23 Jan 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey
  and the Open Libraries Behind Them
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them
Chao-Jung Liu
Boxi Chen
Wei Shao
Chris Zhang
Kelvin Wong
Yi Zhang
317
7
0
22 Jan 2024
Memorization in Self-Supervised Learning Improves Downstream
  Generalization
Memorization in Self-Supervised Learning Improves Downstream Generalization
Wenhao Wang
Muhammad Ahmad Kaleem
Adam Dziedzic
Michael Backes
Nicolas Papernot
Franziska Boenisch
SSL
393
18
0
19 Jan 2024
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for
  Machine Unlearning
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning
Eli Chien
Haoyu Wang
Ziang Chen
Pan Li
MU
583
38
0
18 Jan 2024
Federated Unlearning for Human Activity Recognition
Federated Unlearning for Human Activity Recognition
Kongyang Chen
Dongping Zhang
Yaping Chai
Weibin Zhang
Shaowei Wang
Jiaxing Shen
MU
134
36
0
17 Jan 2024
Privacy Preserving Adaptive Experiment Design
Privacy Preserving Adaptive Experiment DesignInternational Conference on Machine Learning (ICML), 2024
Jiachun Li
Kaining Shi
David Simchi-Levi
452
1
0
16 Jan 2024
Lotto: Secure Participant Selection against Adversarial Servers in
  Federated Learning
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning
Zhifeng Jiang
Peng Ye
Shiqi He
Wei Wang
Ruichuan Chen
Bo Li
320
6
0
05 Jan 2024
Data-Centric Foundation Models in Computational Healthcare: A Survey
Data-Centric Foundation Models in Computational Healthcare: A Survey
Yunkun Zhang
Jin Gao
Zheling Tan
Lingfeng Zhou
Kexin Ding
Mu Zhou
Shaoting Zhang
Yi Xu
AI4CE
313
34
0
04 Jan 2024
Adaptive Differential Privacy in Federated Learning: A Priority-Based
  Approach
Adaptive Differential Privacy in Federated Learning: A Priority-Based Approach
Mahtab Talaei
Iman Izadi
FedML
104
13
0
04 Jan 2024
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