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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"
50 / 791 papers shown
RoFL: Robustness of Secure Federated Learning
Hidde Lycklama
Lukas Burkhalter
Alexander Viand
Nicolas Küchler
Anwar Hithnawi
FedML
306
92
0
07 Jul 2021
Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy
Yipeng Zhou
Xuezheng Liu
Yao Fu
Di Wu
Chao Li
Shui Yu
FedML
134
3
0
05 Jul 2021
Survey: Leakage and Privacy at Inference Time
Marija Jegorova
Chaitanya Kaul
Charlie Mayor
Alison Q. OÑeil
Alexander Weir
Roderick Murray-Smith
Sotirios A. Tsaftaris
PILM
MIACV
244
84
0
04 Jul 2021
Privacy Budget Scheduling
USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2021
Tao Luo
Mingen Pan
Pierre Tholoniat
Asaf Cidon
Roxana Geambasu
Mathias Lécuyer
218
34
0
29 Jun 2021
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
Gavin Brown
Marco Gaboardi
Adam D. Smith
Jonathan R. Ullman
Lydia Zakynthinou
FedML
384
53
0
24 Jun 2021
Membership Inference on Word Embedding and Beyond
Saeed Mahloujifar
Huseyin A. Inan
Melissa Chase
Esha Ghosh
Marcello Hasegawa
MIACV
SILM
201
53
0
21 Jun 2021
Large Scale Private Learning via Low-rank Reparametrization
International Conference on Machine Learning (ICML), 2021
Da Yu
Huishuai Zhang
Wei Chen
Jian Yin
Tie-Yan Liu
400
118
0
17 Jun 2021
Memorization and Generalization in Neural Code Intelligence Models
Md Rafiqul Islam Rabin
Aftab Hussain
Mohammad Amin Alipour
Vincent J. Hellendoorn
TDI
237
48
0
16 Jun 2021
On the Convergence and Calibration of Deep Learning with Differential Privacy
Zhiqi Bu
Hua Wang
Zongyu Dai
Qi Long
318
38
0
15 Jun 2021
Antipodes of Label Differential Privacy: PATE and ALIBI
Neural Information Processing Systems (NeurIPS), 2021
Mani Malek
Ilya Mironov
Karthik Prasad
I. Shilov
Florian Tramèr
269
73
0
07 Jun 2021
On Memorization in Probabilistic Deep Generative Models
Neural Information Processing Systems (NeurIPS), 2021
G. V. D. Burg
Christopher K. I. Williams
TDI
298
79
0
06 Jun 2021
Self-Damaging Contrastive Learning
International Conference on Machine Learning (ICML), 2021
Ziyu Jiang
Tianlong Chen
Bobak J. Mortazavi
Zinan Lin
CLL
172
79
0
06 Jun 2021
A unified PAC-Bayesian framework for machine unlearning via information risk minimization
International Workshop on Machine Learning for Signal Processing (MLSP), 2021
Sharu Theresa Jose
Osvaldo Simeone
MU
199
8
0
01 Jun 2021
De-identification of Privacy-related Entities in Job Postings
Nordic Conference of Computational Linguistics (NoDaLiDa), 2021
Kristian Nørgaard Jensen
Mike Zhang
Barbara Plank
164
20
0
24 May 2021
A Lightweight Privacy-Preserving Scheme Using Label-based Pixel Block Mixing for Image Classification in Deep Learning
Engineering applications of artificial intelligence (EAAI), 2021
Yuexin Xiang
Tiantian Li
Wei Ren
Tianqing Zhu
Kim-Kwang Raymond Choo
125
5
0
19 May 2021
DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks
Yingzhe He
Guozhu Meng
Kai Chen
Jinwen He
Xingbo Hu
MU
85
31
0
13 May 2021
Bounding Information Leakage in Machine Learning
Ganesh Del Grosso
Georg Pichler
C. Palamidessi
Pablo Piantanida
MIACV
FedML
200
15
0
09 May 2021
Poisoning the Unlabeled Dataset of Semi-Supervised Learning
USENIX Security Symposium (USENIX Security), 2021
Nicholas Carlini
AAML
359
78
0
04 May 2021
A Review of Confidentiality Threats Against Embedded Neural Network Models
World Forum on Internet of Things (WF-IoT), 2021
Raphael Joud
Pierre-Alain Moëllic
Rémi Bernhard
J. Rigaud
172
6
0
04 May 2021
Privacy-Preserving Portrait Matting
ACM Multimedia (ACM MM), 2021
Jizhizi Li
Sihan Ma
Jing Zhang
Dacheng Tao
PICV
220
79
0
29 Apr 2021
Human-Imitating Metrics for Training and Evaluating Privacy Preserving Emotion Recognition Models Using Sociolinguistic Knowledge
Mimansa Jaiswal
E. Provost
163
0
0
18 Apr 2021
Memorisation versus Generalisation in Pre-trained Language Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Michael Tänzer
Sebastian Ruder
Marek Rei
227
54
0
16 Apr 2021
Membership Inference Attacks on Knowledge Graphs
Yu Wang
Lifu Huang
Philip S. Yu
Lichao Sun
MIACV
233
18
0
16 Apr 2021
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Trung D. Q. Dang
Om Thakkar
Swaroop Indra Ramaswamy
Rajiv Mathews
Peter Chin
Franccoise Beaufays
FedML
91
10
0
15 Apr 2021
Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems
Daniel Buschek
Lukas Mecke
Florian Lehmann
Hai Dang
189
49
0
01 Apr 2021
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation
Conference on Computer and Communications Security (CCS), 2021
Wei Ping
Fan Wu
Yunhui Long
Luka Rimanic
Ce Zhang
Yue Liu
FedML
646
73
0
20 Mar 2021
The Influence of Dropout on Membership Inference in Differentially Private Models
Erick Galinkin
MIACV
93
8
0
16 Mar 2021
Membership Inference Attacks on Machine Learning: A Survey
ACM Computing Surveys (CSUR), 2021
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
371
581
0
14 Mar 2021
Robust Model Compression Using Deep Hypotheses
AAAI Conference on Artificial Intelligence (AAAI), 2021
Omri Armstrong
Ran Gilad-Bachrach
OOD
82
2
0
13 Mar 2021
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Fatemehsadat Mireshghallah
Huseyin A. Inan
Marcello Hasegawa
Victor Rühle
Taylor Berg-Kirkpatrick
Robert Sim
142
47
0
12 Mar 2021
Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions
Pallika H. Kanani
Virendra J. Marathe
Daniel W. Peterson
R. Harpaz
Steve Bright
FedML
157
10
0
12 Mar 2021
Quantum machine learning with differential privacy
Scientific Reports (Sci Rep), 2021
William Watkins
Samuel Yen-Chi Chen
Shinjae Yoo
193
68
0
10 Mar 2021
A Study of Face Obfuscation in ImageNet
International Conference on Machine Learning (ICML), 2021
Kaiyu Yang
Jacqueline Yau
Li Fei-Fei
Gaowen Liu
Olga Russakovsky
PICV
CVBM
244
158
0
10 Mar 2021
Abstraction and Symbolic Execution of Deep Neural Networks with Bayesian Approximation of Hidden Features
Nicolas Berthier
Amany Alshareef
James Sharp
S. Schewe
Xiaowei Huang
165
10
0
05 Mar 2021
Remember What You Want to Forget: Algorithms for Machine Unlearning
Neural Information Processing Systems (NeurIPS), 2021
Ayush Sekhari
Jayadev Acharya
Gautam Kamath
A. Suresh
FedML
MU
329
393
0
04 Mar 2021
DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing
Proceedings on Privacy Enhancing Technologies (PoPETs), 2021
Wenxiao Wang
Tianhao Wang
Lun Wang
Nanqing Luo
Pan Zhou
Basel Alomair
R. Jia
233
18
0
02 Mar 2021
Wide Network Learning with Differential Privacy
Huanyu Zhang
Ilya Mironov
Meisam Hejazinia
226
28
0
01 Mar 2021
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning
International Conference on Learning Representations (ICLR), 2021
Da Yu
Huishuai Zhang
Wei Chen
Tie-Yan Liu
FedML
SILM
315
129
0
25 Feb 2021
Measuring Data Leakage in Machine-Learning Models with Fisher Information
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Awni Y. Hannun
Chuan Guo
Laurens van der Maaten
FedML
MIACV
275
64
0
23 Feb 2021
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts
Computer Vision and Pattern Recognition (CVPR), 2021
Soravit Changpinyo
P. Sharma
Nan Ding
Radu Soricut
VLM
1.1K
1,353
0
17 Feb 2021
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation
International Conference on Machine Learning (ICML), 2021
Peter Kairouz
Ziyu Liu
Thomas Steinke
FedML
403
278
0
12 Feb 2021
Node-Level Membership Inference Attacks Against Graph Neural Networks
Xinlei He
Rui Wen
Yixin Wu
Michael Backes
Yun Shen
Yang Zhang
212
114
0
10 Feb 2021
CaPC Learning: Confidential and Private Collaborative Learning
International Conference on Learning Representations (ICLR), 2021
Christopher A. Choquette-Choo
Natalie Dullerud
Adam Dziedzic
Yunxiang Zhang
S. Jha
Nicolas Papernot
Xiao Wang
FedML
232
61
0
09 Feb 2021
Fast and Memory Efficient Differentially Private-SGD via JL Projections
Neural Information Processing Systems (NeurIPS), 2021
Zhiqi Bu
Sivakanth Gopi
Janardhan Kulkarni
Y. Lee
J. Shen
U. Tantipongpipat
FedML
283
47
0
05 Feb 2021
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
USENIX Security Symposium (USENIX Security), 2021
Yugeng Liu
Rui Wen
Xinlei He
A. Salem
Zhikun Zhang
Michael Backes
Emiliano De Cristofaro
Mario Fritz
Yang Zhang
AAML
210
152
0
04 Feb 2021
Dopamine: Differentially Private Federated Learning on Medical Data
Mohammad Malekzadeh
Burak Hasircioglu
N. Mital
K. Katarya
M. E. Ozfatura
Deniz Gündüz
OOD
FedML
227
60
0
27 Jan 2021
Property Inference From Poisoning
IEEE Symposium on Security and Privacy (IEEE S&P), 2021
Melissa Chase
Esha Ghosh
Saeed Mahloujifar
MIACV
164
93
0
26 Jan 2021
Differentially Private SGD with Non-Smooth Losses
Applied and Computational Harmonic Analysis (ACHA), 2021
Puyu Wang
Yunwen Lei
Yiming Ying
Hai Zhang
316
34
0
22 Jan 2021
Fidelity and Privacy of Synthetic Medical Data
O. Mendelevitch
M. Lesh
187
38
0
18 Jan 2021
Membership Inference Attack on Graph Neural Networks
International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2021
Iyiola E. Olatunji
Wolfgang Nejdl
Megha Khosla
AAML
293
127
0
17 Jan 2021
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