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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 / 790 papers shown
Title
Silver Linings in the Shadows: Harnessing Membership Inference for
  Machine Unlearning
Silver Linings in the Shadows: Harnessing Membership Inference for Machine Unlearning
Nexhi Sula
Abhinav Kumar
Jie Hou
Han Wang
R. Tourani
MU
275
1
0
01 Jul 2024
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training
Stefan Arnold
Rene Gröbner
Annika Schreiner
229
0
0
30 Jun 2024
LongLaMP: A Benchmark for Personalized Long-form Text Generation
LongLaMP: A Benchmark for Personalized Long-form Text Generation
Ishita Kumar
Snigdha Viswanathan
Sushrita Yerra
Alireza Salemi
Ryan Rossi
...
Xiang Chen
Ruiyi Zhang
Shubham Agarwal
Nedim Lipka
Hamed Zamani
202
48
0
27 Jun 2024
Evaluating Copyright Takedown Methods for Language Models
Evaluating Copyright Takedown Methods for Language Models
Boyi Wei
Weijia Shi
Yangsibo Huang
Noah A. Smith
Chiyuan Zhang
Luke Zettlemoyer
Kai Li
Peter Henderson
443
36
0
26 Jun 2024
Enhancing Federated Learning with Adaptive Differential Privacy and
  Priority-Based Aggregation
Enhancing Federated Learning with Adaptive Differential Privacy and Priority-Based Aggregation
Mahtab Talaei
Iman Izadi
FedML
159
0
0
26 Jun 2024
Enhancing Data Privacy in Large Language Models through Private
  Association Editing
Enhancing Data Privacy in Large Language Models through Private Association Editing
Davide Venditti
Elena Sofia Ruzzetti
Giancarlo A. Xompero
Cristina Giannone
Andrea Favalli
Raniero Romagnoli
Fabio Massimo Zanzotto
KELM
160
4
0
26 Jun 2024
Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon
Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon
USVSN Sai Prashanth
Alvin Deng
Kyle O'Brien
Jyothir S V
Mohammad Aflah Khan
...
Jacob Ray Fuehne
Stella Biderman
Tracy Ke
Katherine Lee
Naomi Saphra
378
22
0
25 Jun 2024
Noisy Neighbors: Efficient membership inference attacks against LLMs
Noisy Neighbors: Efficient membership inference attacks against LLMs
Filippo Galli
Luca Melis
Tommaso Cucinotta
259
21
0
24 Jun 2024
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems
Florin Cuconasu
Giovanni Trappolini
Nicola Tonellotto
Fabrizio Silvestri
188
4
0
21 Jun 2024
Protecting Privacy Through Approximating Optimal Parameters for Sequence
  Unlearning in Language Models
Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models
Dohyun Lee
Daniel Rim
Minseok Choi
Jaegul Choo
PILMMU
180
11
0
20 Jun 2024
AspirinSum: an Aspect-based utility-preserved de-identification
  Summarization framework
AspirinSum: an Aspect-based utility-preserved de-identification Summarization framework
Ya-Lun Li
198
0
0
20 Jun 2024
Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems
Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems
Đorđe Klisura
Anthony Rios
AAML
310
4
0
20 Jun 2024
Be like a Goldfish, Don't Memorize! Mitigating Memorization in
  Generative LLMs
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMsNeural Information Processing Systems (NeurIPS), 2024
Abhimanyu Hans
Yuxin Wen
Neel Jain
John Kirchenbauer
Hamid Kazemi
...
Siddharth Singh
Gowthami Somepalli
Jonas Geiping
A. Bhatele
Tom Goldstein
324
51
0
14 Jun 2024
REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space
REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space
Tomer Ashuach
Martin Tutek
Yonatan Belinkov
MUKELM
614
12
0
13 Jun 2024
On the Minimal Degree Bias in Generalization on the Unseen for
  non-Boolean Functions
On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions
Denys Pushkin
Raphael Berthier
Emmanuel Abbe
170
0
0
10 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks
A Survey on Machine Unlearning: Techniques and New Emerged Privacy RisksJournal of Information Security and Applications (JISA), 2024
Hengzhu Liu
Ping Xiong
Tianqing Zhu
Philip S. Yu
212
16
0
10 Jun 2024
Causal Estimation of Memorisation Profiles
Causal Estimation of Memorisation ProfilesAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Pietro Lesci
Clara Meister
Thomas Hofmann
Andreas Vlachos
Tiago Pimentel
256
11
0
06 Jun 2024
Memorization in deep learning: A survey
Memorization in deep learning: A survey
Jiaheng Wei
Yanjun Zhang
Leo Yu Zhang
Ming Ding
Chao Chen
Kok-Leong Ong
Jun Zhang
Yang Xiang
273
15
0
06 Jun 2024
Finding NeMo: Localizing Neurons Responsible For Memorization in
  Diffusion Models
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
Dominik Hintersdorf
Lukas Struppek
Kristian Kersting
Adam Dziedzic
Franziska Boenisch
208
29
0
04 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions
Inference Attacks: A Taxonomy, Survey, and Promising Directions
Feng Wu
Lei Cui
Shaowen Yao
Shui Yu
352
3
0
04 Jun 2024
A Novel Review of Stability Techniques for Improved Privacy-Preserving
  Machine Learning
A Novel Review of Stability Techniques for Improved Privacy-Preserving Machine Learning
Coleman DuPlessie
Aidan Gao
100
0
0
31 May 2024
AI Risk Management Should Incorporate Both Safety and Security
AI Risk Management Should Incorporate Both Safety and Security
Xiangyu Qi
Yangsibo Huang
Yi Zeng
Edoardo Debenedetti
Jonas Geiping
...
Chaowei Xiao
Yue Liu
Dawn Song
Peter Henderson
Prateek Mittal
AAML
271
19
0
29 May 2024
Delving into Differentially Private Transformer
Delving into Differentially Private Transformer
Youlong Ding
Xueyang Wu
Yining Meng
Yonggang Luo
Hao Wang
Weike Pan
404
9
0
28 May 2024
OSLO: One-Shot Label-Only Membership Inference Attacks
OSLO: One-Shot Label-Only Membership Inference Attacks
Yuefeng Peng
Jaechul Roh
Subhransu Maji
Amir Houmansadr
227
8
0
27 May 2024
Cross-Modal Safety Alignment: Is textual unlearning all you need?
Cross-Modal Safety Alignment: Is textual unlearning all you need?
Trishna Chakraborty
Erfan Shayegani
Zikui Cai
Nael B. Abu-Ghazaleh
M. Salman Asif
Yue Dong
Amit K. Roy-Chowdhury
Chengyu Song
214
23
0
27 May 2024
Data Reconstruction: When You See It and When You Don't
Data Reconstruction: When You See It and When You Don't
Edith Cohen
Haim Kaplan
Yishay Mansour
Shay Moran
Kobbi Nissim
Uri Stemmer
Eliad Tsfadia
AAML
228
8
0
24 May 2024
Better Membership Inference Privacy Measurement through Discrepancy
Better Membership Inference Privacy Measurement through Discrepancy
Ruihan Wu
Pengrun Huang
Kamalika Chaudhuri
MIACV
257
1
0
24 May 2024
Tiny Refinements Elicit Resilience: Toward Efficient Prefix-Model
  Against LLM Red-Teaming
Tiny Refinements Elicit Resilience: Toward Efficient Prefix-Model Against LLM Red-Teaming
Jiaxu Liu
Xiangyu Yin
Sihao Wu
Jianhong Wang
Meng Fang
Xinping Yi
Xiaowei Huang
298
6
0
21 May 2024
Data Contamination Calibration for Black-box LLMs
Data Contamination Calibration for Black-box LLMs
Wen-song Ye
Jiaqi Hu
Liyao Li
Haobo Wang
Gang Chen
Junbo Zhao
165
20
0
20 May 2024
Quantifying In-Context Reasoning Effects and Memorization Effects in
  LLMs
Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs
Siyu Lou
Yuntian Chen
Xiaodan Liang
Liang Lin
Quanshi Zhang
334
4
0
20 May 2024
SecureLLM: Using Compositionality to Build Provably Secure Language
  Models for Private, Sensitive, and Secret Data
SecureLLM: Using Compositionality to Build Provably Secure Language Models for Private, Sensitive, and Secret Data
Abdulrahman Alabdulakreem
Christian M Arnold
Yerim Lee
Pieter M Feenstra
Boris Katz
Andrei Barbu
204
4
0
16 May 2024
GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation
GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation
Andrey V. Galichin
Mikhail Aleksandrovich Pautov
Alexey Zhavoronkin
Oleg Y. Rogov
Ivan Oseledets
AAML
245
7
0
13 May 2024
Shadow-Free Membership Inference Attacks: Recommender Systems Are More
  Vulnerable Than You Thought
Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought
Xiaoxiao Chi
Xuyun Zhang
Yan Wang
Lianyong Qi
Amin Beheshti
Xiaolong Xu
Kim-Kwang Raymond Choo
Shuo Wang
Hongsheng Hu
171
5
0
11 May 2024
Special Characters Attack: Toward Scalable Training Data Extraction From
  Large Language Models
Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models
Yang Bai
Ge Pei
Jindong Gu
Yong Yang
Xingjun Ma
288
16
0
09 May 2024
Automated Program Repair: Emerging trends pose and expose problems for
  benchmarks
Automated Program Repair: Emerging trends pose and expose problems for benchmarksACM Computing Surveys (ACM CSUR), 2024
J. Renzullo
Pemma Reiter
Westley Weimer
Stephanie Forrest
212
7
0
08 May 2024
Locally Differentially Private In-Context Learning
Locally Differentially Private In-Context Learning
Chunyan Zheng
Keke Sun
Wenhao Zhao
Haibo Zhou
Lixin Jiang
Shaoyang Song
Chunlai Zhou
361
3
0
07 May 2024
Federated Graph Condensation with Information Bottleneck Principles
Federated Graph Condensation with Information Bottleneck Principles
Bo Yan
DDFedML
172
6
0
07 May 2024
Exploring prompts to elicit memorization in masked language model-based
  named entity recognition
Exploring prompts to elicit memorization in masked language model-based named entity recognitionPLoS ONE (PLoS ONE), 2024
Yuxi Xia
Anastasiia Sedova
Pedro Henrique Luz de Araujo
Vasiliki Kougia
Lisa Nussbaumer
Benjamin Roth
258
1
0
05 May 2024
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient
  Push with Tight Utility Bounds
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility BoundsInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Zehan Zhu
Yan Huang
Xin Wang
Jinming Xu
182
6
0
04 May 2024
Center-Based Relaxed Learning Against Membership Inference Attacks
Center-Based Relaxed Learning Against Membership Inference Attacks
Xingli Fang
Jung-Eun Kim
269
3
0
26 Apr 2024
Rethinking LLM Memorization through the Lens of Adversarial Compression
Rethinking LLM Memorization through the Lens of Adversarial Compression
Avi Schwarzschild
Zhili Feng
Pratyush Maini
Zachary Chase Lipton
J. Zico Kolter
458
86
0
23 Apr 2024
From Matching to Generation: A Survey on Generative Information Retrieval
From Matching to Generation: A Survey on Generative Information Retrieval
Xiaoxi Li
Jiajie Jin
Yujia Zhou
Yuyao Zhang
Peitian Zhang
Yutao Zhu
Zhicheng Dou
3DV
522
125
0
23 Apr 2024
Resistance Against Manipulative AI: key factors and possible actions
Resistance Against Manipulative AI: key factors and possible actions
Piotr Wilczyñski
Wiktoria Mieleszczenko-Kowszewicz
P. Biecek
130
6
0
22 Apr 2024
U Can't Gen This? A Survey of Intellectual Property Protection Methods
  for Data in Generative AI
U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI
Tanja Sarcevic
Alicja Karlowicz
Rudolf Mayer
Ricardo A. Baeza-Yates
Andreas Rauber
257
10
0
22 Apr 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
Zibo Wang
Haichao Ji
Yifei Zhu
Dan Wang
Zhu Han
360
5
0
19 Apr 2024
Differentially Private Reinforcement Learning with Self-Play
Differentially Private Reinforcement Learning with Self-Play
Dan Qiao
Yu Wang
218
0
0
11 Apr 2024
Elephants Never Forget: Memorization and Learning of Tabular Data in
  Large Language Models
Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models
Sebastian Bordt
Harsha Nori
Vanessa Rodrigues
Besmira Nushi
Rich Caruana
284
25
0
09 Apr 2024
Learn What You Want to Unlearn: Unlearning Inversion Attacks against
  Machine Unlearning
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine UnlearningIEEE Symposium on Security and Privacy (S&P), 2024
Hongsheng Hu
Shuo Wang
Tian Dong
Minhui Xue
AAML
177
46
0
04 Apr 2024
A Unified Membership Inference Method for Visual Self-supervised Encoder
  via Part-aware Capability
A Unified Membership Inference Method for Visual Self-supervised Encoder via Part-aware CapabilityConference on Computer and Communications Security (CCS), 2024
Jie Zhu
Jirong Zha
Ding Li
Leye Wang
279
10
0
03 Apr 2024
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
255
27
0
01 Apr 2024
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