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1610.05820
Cited By
Membership Inference Attacks against Machine Learning Models
18 October 2016
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLR
MIALM
MIACV
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Papers citing
"Membership Inference Attacks against Machine Learning Models"
50 / 2,058 papers shown
Title
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art
Tanujit Chakraborty
Ujjwal Reddy K S
Shraddha M. Naik
Madhurima Panja
B. Manvitha
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0
30 Aug 2023
Vulnerability of Machine Learning Approaches Applied in IoT-based Smart Grid: A Review
Zhenyong Zhang
Mengxiang Liu
Mingyang Sun
Ruilong Deng
Peng Cheng
Dusit Niyato
Mo-Yuen Chow
Jiming Chen
45
43
0
30 Aug 2023
Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation
Jiachen T. Wang
Yuqing Zhu
Yu Wang
R. Jia
Prateek Mittal
TDI
37
12
0
30 Aug 2023
Generating tabular datasets under differential privacy
G. Truda
DiffM
30
5
0
28 Aug 2023
Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs
Tianyi Zhao
Hui Hu
Lu Cheng
38
3
0
25 Aug 2023
Privacy engineering through obfuscation
Ero Balsa
16
1
0
24 Aug 2023
A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models
Wenjie Fu
Huandong Wang
Chen Gao
Guanghua Liu
Yong Li
Tao Jiang
DiffM
34
11
0
23 Aug 2023
A Survey for Federated Learning Evaluations: Goals and Measures
Di Chai
Leye Wang
Liu Yang
Junxue Zhang
Kai Chen
Qian Yang
ELM
FedML
27
21
0
23 Aug 2023
Generative Adversarial Networks Unlearning
Hui Sun
Tianqing Zhu
Wenhan Chang
Wanlei Zhou
MU
GAN
31
6
0
19 Aug 2023
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models
Dominik Hintersdorf
Lukas Struppek
Kristian Kersting
SILM
38
4
0
18 Aug 2023
Privacy at Risk: Exploiting Similarities in Health Data for Identity Inference
Lucas Lange
Tobias Schreieder
Victor Christen
Erhard Rahm
6
4
0
16 Aug 2023
Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening
Jack Foster
Stefan Schoepf
Alexandra Brintrup
MU
27
87
0
15 Aug 2023
Block-Wise Encryption for Reliable Vision Transformer models
Hitoshi Kiya
Ryota Iijima
Teru Nagamori
33
1
0
15 Aug 2023
Machine Unlearning: Solutions and Challenges
Jie Xu
Zihan Wu
Cong Wang
Xiaohua Jia
MU
55
49
0
14 Aug 2023
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection
João Vitorino
Isabel Praça
Eva Maia
AAML
30
22
0
13 Aug 2023
White-box Membership Inference Attacks against Diffusion Models
Yan Pang
Tianhao Wang
Xu Kang
Mengdi Huai
Yang Zhang
AAML
DiffM
53
22
0
11 Aug 2023
GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization
Hao Fang
Bin Chen
Xuan Wang
Zhi Wang
Shutao Xia
57
33
0
09 Aug 2023
Iterative Sketching for Secure Coded Regression
Neophytos Charalambides
Hessam Mahdavifar
Mert Pilanci
Alfred Hero
30
2
0
08 Aug 2023
FLIPS: Federated Learning using Intelligent Participant Selection
R. Bhope
K.R. Jayaram
N. Venkatasubramanian
Ashish Verma
Gegi Thomas
FedML
39
3
0
07 Aug 2023
Binary Federated Learning with Client-Level Differential Privacy
Lumin Liu
Jun Zhang
Shenghui Song
Khaled B. Letaief
FedML
23
2
0
07 Aug 2023
What has ChatGPT read? The origins of archaeological citations used by a generative artificial intelligence application
D. Spennemann
24
2
0
07 Aug 2023
Model Provenance via Model DNA
Xin Mu
Yu Wang
Yehong Zhang
Jiaqi Zhang
Haibo Wang
Yang Xiang
Yue Yu
SyDa
30
0
0
04 Aug 2023
VertexSerum: Poisoning Graph Neural Networks for Link Inference
Ruyi Ding
Shijin Duan
Xiaolin Xu
Yunsi Fei
AAML
GNN
56
4
0
02 Aug 2023
Mercury: An Automated Remote Side-channel Attack to Nvidia Deep Learning Accelerator
Xi-ai Yan
Xiaoxuan Lou
Guowen Xu
Han Qiu
Shangwei Guo
Chip Hong Chang
Tianwei Zhang
AAML
27
7
0
02 Aug 2023
Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation
Muhammad Irfan Khan
E. Alhoniemi
Elina Kontio
Suleiman A. Khan
Mojtaba Jafaritadi
FedML
16
1
0
01 Aug 2023
Differentially Private Linear Regression with Linked Data
Shurong Lin
Elliot Paquette
E. D. Kolaczyk
29
1
0
01 Aug 2023
FLAIRS: FPGA-Accelerated Inference-Resistant & Secure Federated Learning
Huimin Li
Phillip Rieger
S. Zeitouni
S. Picek
A. Sadeghi
FedML
29
7
0
01 Aug 2023
Does fine-tuning GPT-3 with the OpenAI API leak personally-identifiable information?
A. Sun
Eliott Zemour
Arushi Saxena
Udith Vaidyanathan
Eric Lin
Christian Lau
Vaikkunth Mugunthan
SILM
48
18
0
31 Jul 2023
zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training
Hao Sun
Tonghe Bai
Jason Li
Hongyang R. Zhang
44
19
0
30 Jul 2023
Recommendation Unlearning via Matrix Correction
Jiahao Liu
Dongsheng Li
Hansu Gu
Tun Lu
Jiongran Wu
Peng Zhang
Li Shang
Ning Gu
MU
30
4
0
29 Jul 2023
The Applicability of Federated Learning to Official Statistics
Joshua Stock
Oliver Hauke
Julius Weissmann
Hannes Federrath
FedML
27
1
0
28 Jul 2023
Samplable Anonymous Aggregation for Private Federated Data Analysis
Kunal Talwar
Shan Wang
Audra McMillan
Vojta Jina
Vitaly Feldman
...
Congzheng Song
Karl Tarbe
Sebastian Vogt
L. Winstrom
Shundong Zhou
FedML
43
13
0
27 Jul 2023
Flexible Differentially Private Vertical Federated Learning with Adaptive Feature Embeddings
Yuxi Mi
Hongquan Liu
Yewei Xia
Yiheng Sun
Jihong Guan
Shuigeng Zhou
FedML
30
1
0
26 Jul 2023
Accuracy Improvement in Differentially Private Logistic Regression: A Pre-training Approach
Mohammad Hoseinpour
Milad Hoseinpour
A. Aghagolzadeh
16
0
0
25 Jul 2023
Mitigating Cross-client GANs-based Attack in Federated Learning
Hong Huang
Xinyu Lei
Tao Xiang
AAML
60
1
0
25 Jul 2023
Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering
Ce Feng
Nuo Xu
Wujie Wen
Parv Venkitasubramaniam
Caiwen Ding
12
4
0
25 Jul 2023
A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted Learning
S. Giddens
Yiwang Zhou
K. Krull
T. Brinkman
P. Song
F. Liu
35
1
0
24 Jul 2023
Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development
Danilo Brajovic
Niclas Renner
Vincent Philipp Goebels
Philipp Wagner
Benjamin Frész
M. Biller
Mara Klaeb
Janika Kutz
Jens Neuhuettler
Marco F. Huber
37
9
0
21 Jul 2023
Epsilon*: Privacy Metric for Machine Learning Models
Diana M. Negoescu
H. González
Saad Eddin Al Orjany
Jilei Yang
Yuliia Lut
...
Xinyi Zheng
Zachariah Douglas
Vidita Nolkha
P. Ahammad
G. Samorodnitsky
42
2
0
21 Jul 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency
Jiawei Shao
Zijian Li
Wenqiang Sun
Tailin Zhou
Yuchang Sun
Lumin Liu
Zehong Lin
Yuyi Mao
Jun Zhang
FedML
50
23
0
20 Jul 2023
Unstoppable Attack: Label-Only Model Inversion via Conditional Diffusion Model
Rongke Liu
Dong Wang
Yizhi Ren
Zhen Wang
Kaitian Guo
Qianqian Qin
Xiaolei Liu
DiffM
32
12
0
17 Jul 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELM
MU
39
49
0
16 Jul 2023
Exposing the Fake: Effective Diffusion-Generated Images Detection
Ruipeng Ma
Jinhao Duan
Fei Kong
Xiaoshuang Shi
Kaidi Xu
DiffM
30
30
0
12 Jul 2023
SoK: Comparing Different Membership Inference Attacks with a Comprehensive Benchmark
Jun Niu
Xiaoyan Zhu
Moxuan Zeng
Ge Zhang
Qingyang Zhao
...
Peng Liu
Yulong Shen
Xiaohong Jiang
Jianfeng Ma
Yuqing Zhang
52
3
0
12 Jul 2023
Memorization Through the Lens of Curvature of Loss Function Around Samples
Isha Garg
Deepak Ravikumar
Kaushik Roy
TDI
21
11
0
11 Jul 2023
Membership Inference Attacks on DNNs using Adversarial Perturbations
Hassan Ali
Adnan Qayyum
Ala I. Al-Fuqaha
Junaid Qadir
AAML
43
3
0
11 Jul 2023
Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation
Zhexin Zhang
Jiaxin Wen
Minlie Huang
38
32
0
10 Jul 2023
Scalable Membership Inference Attacks via Quantile Regression
Martín Bertrán
Shuai Tang
Michael Kearns
Jamie Morgenstern
Aaron Roth
Zhiwei Steven Wu
MIACV
35
44
0
07 Jul 2023
Quantum Solutions to the Privacy vs. Utility Tradeoff
Sagnik Chatterjee
Vyacheslav Kungurtsev
19
0
0
06 Jul 2023
A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications
M. Pennisi
Federica Proietto Salanitri
Giovanni Bellitto
S. Palazzo
Ulas Bagci
C. Spampinato
MedIm
36
6
0
06 Jul 2023
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