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1802.08232
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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
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Papers citing
"The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks"
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Zero-Shot Machine Unlearning
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Vikram S Chundawat
Ayush K Tarun
Murari Mandal
Mohan S. Kankanhalli
MU
314
172
0
14 Jan 2022
Reconstructing Training Data with Informed Adversaries
IEEE Symposium on Security and Privacy (IEEE S&P), 2022
Borja Balle
Giovanni Cherubin
Jamie Hayes
MIACV
AAML
347
200
0
13 Jan 2022
Submix: Practical Private Prediction for Large-Scale Language Models
Antonio A. Ginart
Laurens van der Maaten
James Zou
Chuan Guo
188
28
0
04 Jan 2022
DP-FP: Differentially Private Forward Propagation for Large Models
Jian Du
Haitao Mi
139
7
0
29 Dec 2021
DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning
Conference on Data and Application Security and Privacy (CODASPY), 2021
Ismat Jarin
Birhanu Eshete
AAML
145
13
0
24 Dec 2021
Parameter identifiability of a deep feedforward ReLU neural network
Machine-mediated learning (ML), 2021
Joachim Bona-Pellissier
François Bachoc
François Malgouyres
261
20
0
24 Dec 2021
Counterfactual Memorization in Neural Language Models
Neural Information Processing Systems (NeurIPS), 2021
Chiyuan Zhang
Daphne Ippolito
Katherine Lee
Matthew Jagielski
Florian Tramèr
Nicholas Carlini
306
168
0
24 Dec 2021
Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors
Timothy Stevens
Christian Skalka
C. Vincent
J. Ring
Samuel Clark
Joseph P. Near
FedML
163
96
0
13 Dec 2021
Automated Side Channel Analysis of Media Software with Manifold Learning
Yuanyuan Yuan
Qi Pang
Shuai Wang
AAML
226
20
0
09 Dec 2021
Ethical and social risks of harm from Language Models
Laura Weidinger
John F. J. Mellor
Maribeth Rauh
Conor Griffin
J. Uesato
...
Lisa Anne Hendricks
William S. Isaac
Sean Legassick
G. Irving
Iason Gabriel
PILM
535
1,295
0
08 Dec 2021
Membership Inference Attacks From First Principles
Nicholas Carlini
Steve Chien
Milad Nasr
Shuang Song
Seth Neel
Florian Tramèr
MIACV
MIALM
672
910
0
07 Dec 2021
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark
AAAI Conference on Artificial Intelligence (AAAI), 2021
Xuanli He
Xingliang Yuan
Lingjuan Lyu
Fangzhao Wu
Chenguang Wang
WaLM
428
116
0
05 Dec 2021
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification
IEEE Transactions on Industrial Informatics (TII), 2021
Dominique Mercier
Adriano Lucieri
Mohsin Munir
Andreas Dengel
Sheraz Ahmed
120
18
0
29 Nov 2021
DP-SGD vs PATE: Which Has Less Disparate Impact on GANs?
Georgi Ganev
181
6
0
26 Nov 2021
Node-Level Differentially Private Graph Neural Networks
Ameya Daigavane
Gagan Madan
Aditya Sinha
Abhradeep Thakurta
Gaurav Aggarwal
Prateek Jain
269
68
0
23 Nov 2021
Decentralized Federated Learning through Proxy Model Sharing
Nature Communications (Nat Commun), 2021
Shivam Kalra
Junfeng Wen
Jesse C. Cresswell
Anthony L. Caterini
Hamid R. Tizhoosh
FedML
283
147
0
22 Nov 2021
Machine unlearning via GAN
Kongyang Chen
Yao Huang
Yiwen Wang
MU
72
8
0
22 Nov 2021
Enhanced Membership Inference Attacks against Machine Learning Models
Jiayuan Ye
Aadyaa Maddi
S. K. Murakonda
Vincent Bindschaedler
Reza Shokri
MIALM
MIACV
593
329
0
18 Nov 2021
How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN
R. Thomas McCoy
P. Smolensky
Tal Linzen
Jianfeng Gao
Asli Celikyilmaz
SyDa
223
161
0
18 Nov 2021
On the Importance of Difficulty Calibration in Membership Inference Attacks
International Conference on Learning Representations (ICLR), 2021
Lauren Watson
Chuan Guo
Graham Cormode
Alex Sablayrolles
295
172
0
15 Nov 2021
Property Inference Attacks Against GANs
Network and Distributed System Security Symposium (NDSS), 2021
Junhao Zhou
Yufei Chen
Chao Shen
Yang Zhang
AAML
MIACV
248
66
0
15 Nov 2021
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection
Shubhankar Mohapatra
Sajin Sasy
Xi He
Gautam Kamath
Om Thakkar
284
35
0
09 Nov 2021
Get a Model! Model Hijacking Attack Against Machine Learning Models
A. Salem
Michael Backes
Yang Zhang
AAML
252
31
0
08 Nov 2021
Privacy attacks for automatic speech recognition acoustic models in a federated learning framework
N. Tomashenko
Salima Mdhaffar
Marc Tommasi
Yannick Esteve
J. Bonastre
245
27
0
06 Nov 2021
Backdoor Pre-trained Models Can Transfer to All
Conference on Computer and Communications Security (CCS), 2021
Lujia Shen
S. Ji
Xuhong Zhang
Jinfeng Li
Jing Chen
Jie Shi
Chengfang Fang
Jianwei Yin
Ting Wang
AAML
SILM
221
144
0
30 Oct 2021
Generating synthetic transactional profiles
H. Lautraite
Patrick Mesana
43
0
0
28 Oct 2021
Self-supervised denoising for massive noisy images
Feng Wang
Trond R. Henninen
D. Keller
R. Erni
207
0
0
18 Oct 2021
Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
Xinyu Tang
Saeed Mahloujifar
Liwei Song
Virat Shejwalkar
Milad Nasr
Amir Houmansadr
Prateek Mittal
161
105
0
15 Oct 2021
Differentially Private Fine-tuning of Language Models
Da Yu
Saurabh Naik
A. Backurs
Sivakanth Gopi
Huseyin A. Inan
...
Y. Lee
Andre Manoel
Lukas Wutschitz
Sergey Yekhanin
Huishuai Zhang
575
442
0
13 Oct 2021
Generalization Techniques Empirically Outperform Differential Privacy against Membership Inference
Jiaxiang Liu
Simon Oya
Florian Kerschbaum
MIACV
179
9
0
11 Oct 2021
The Connection between Out-of-Distribution Generalization and Privacy of ML Models
Divyat Mahajan
Shruti Tople
Amit Sharma
OOD
242
7
0
07 Oct 2021
Unrolling SGD: Understanding Factors Influencing Machine Unlearning
European Symposium on Security and Privacy (EuroS&P), 2021
Anvith Thudi
Gabriel Deza
Varun Chandrasekaran
Nicolas Papernot
MU
312
266
0
27 Sep 2021
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
International Conference on Machine Learning (ICML), 2021
Georgi Ganev
Bristena Oprisanu
Emiliano De Cristofaro
348
67
0
23 Sep 2021
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
271
20
0
20 Sep 2021
Membership Inference Attacks Against Recommender Systems
Minxing Zhang
Zhaochun Ren
Zihan Wang
Sudipta Singha Roy
Zhumin Chen
Pengfei Hu
Yang Zhang
MIACV
AAML
154
115
0
16 Sep 2021
Source Inference Attacks in Federated Learning
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Xuyun Zhang
162
102
0
13 Sep 2021
EMA: Auditing Data Removal from Trained Models
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Yangsibo Huang
Xiaoxiao Li
Kai Li
114
15
0
08 Sep 2021
Selective Differential Privacy for Language Modeling
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Weiyan Shi
Aiqi Cui
Evan Li
R. Jia
Zhou Yu
293
83
0
30 Aug 2021
CAPE: Context-Aware Private Embeddings for Private Language Learning
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Richard Plant
Dimitra Gkatzia
V. Giuffrida
174
32
0
27 Aug 2021
Probing Pre-trained Auto-regressive Language Models for Named Entity Typing and Recognition
International Conference on Language Resources and Evaluation (LREC), 2021
Elena V. Epure
Romain Hennequin
153
14
0
26 Aug 2021
Machine Unlearning of Features and Labels
Network and Distributed System Security Symposium (NDSS), 2021
Alexander Warnecke
Lukas Pirch
Christian Wressnegger
Konrad Rieck
MU
511
266
0
26 Aug 2021
Differentially Private n-gram Extraction
Neural Information Processing Systems (NeurIPS), 2021
Kunho Kim
Sivakanth Gopi
Janardhan Kulkarni
Sergey Yekhanin
117
17
0
05 Aug 2021
Large-Scale Differentially Private BERT
Rohan Anil
Badih Ghazi
Vineet Gupta
Ravi Kumar
Pasin Manurangsi
236
147
0
03 Aug 2021
Artificial Intelligence in Healthcare: Lost In Translation?
V. Madai
David C. Higgins
133
8
0
28 Jul 2021
TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing
Conference on Computer and Communications Security (CCS), 2021
Aoting Hu
Renjie Xie
Zhigang Lu
A. Hu
Minhui Xue
MIACV
201
18
0
28 Jul 2021
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates
International Conference on Machine Learning (ICML), 2021
Steve Chien
Prateek Jain
Walid Krichene
Steffen Rendle
Shuang Song
Abhradeep Thakurta
Li Zhang
143
19
0
20 Jul 2021
This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces
Ryan Webster
Julien Rabin
Loïc Simon
F. Jurie
CVBM
PICV
188
34
0
13 Jul 2021
Improving the Algorithm of Deep Learning with Differential Privacy
Mehdi Amian
83
1
0
12 Jul 2021
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Shucheng Zhou
FaML
399
256
0
12 Jul 2021
Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling
Emily Dinan
Gavin Abercrombie
A. S. Bergman
Shannon L. Spruit
Dirk Hovy
Y-Lan Boureau
Verena Rieser
330
115
0
07 Jul 2021
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