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  3. 2009.00395
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Sampling Attacks: Amplification of Membership Inference Attacks by
  Repeated Queries

Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries

1 September 2020
Shadi Rahimian
Tribhuvanesh Orekondy
Mario Fritz
    MIACV
ArXiv (abs)PDFHTML

Papers citing "Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries"

16 / 16 papers shown
Title
Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks
Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks
Haowei Fu
Bo Ni
Han Xu
Kunpeng Liu
Dan Lin
Tyler Derr
16
0
0
01 Dec 2025
Membership Inference Attacks Beyond Overfitting
Membership Inference Attacks Beyond Overfitting
Mona Khalil
Alberto Blanco-Justicia
N. Jebreel
Josep Domingo-Ferrer
MIALM
166
0
0
20 Nov 2025
GATEBLEED: Exploiting On-Core Accelerator Power Gating for High Performance & Stealthy Attacks on AI
GATEBLEED: Exploiting On-Core Accelerator Power Gating for High Performance & Stealthy Attacks on AI
Joshua Kalyanapu
Farshad Dizani
Darsh Asher
Azam Ghanbari
Rosario Cammarota
Aydin Aysu
Samira Mirbagher Ajorpaz
256
0
0
22 Jul 2025
On Active Privacy Auditing in Supervised Fine-tuning for White-Box
  Language Models
On Active Privacy Auditing in Supervised Fine-tuning for White-Box Language Models
Qian Sun
Hanpeng Wu
Xi Sheryl Zhang
262
1
0
11 Nov 2024
TDDBench: A Benchmark for Training data detection
TDDBench: A Benchmark for Training data detectionInternational Conference on Learning Representations (ICLR), 2024
Zhihao Zhu
Yi Yang
Defu Lian
292
1
0
05 Nov 2024
Inside the Black Box: Detecting Data Leakage in Pre-trained Language
  Encoders
Inside the Black Box: Detecting Data Leakage in Pre-trained Language EncodersEuropean Conference on Artificial Intelligence (ECAI), 2024
Yuan Xin
Hui Yuan
Ning Yu
Dingfan Chen
Mario Fritz
Michael Backes
Yang Zhang
PILMMIACV
328
2
0
20 Aug 2024
Netflix and Forget: Efficient and Exact Machine Unlearning from
  Bi-linear Recommendations
Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations
Mimee Xu
Jiankai Sun
Xin Yang
K. Yao
Chong-Jun Wang
MUCMLCLL
129
18
0
13 Feb 2023
On the Discredibility of Membership Inference Attacks
On the Discredibility of Membership Inference Attacks
Shahbaz Rezaei
Xin Liu
181
4
0
06 Dec 2022
Membership Inference Attacks by Exploiting Loss Trajectory
Membership Inference Attacks by Exploiting Loss TrajectoryConference on Computer and Communications Security (CCS), 2022
Yiyong Liu
Subrat Kishore Dutta
Michael Backes
Yang Zhang
223
143
0
31 Aug 2022
l-Leaks: Membership Inference Attacks with Logits
l-Leaks: Membership Inference Attacks with Logits
Shuhao Li
Yajie Wang
Yuan-zhang Li
Yu-an Tan
MIACVMIALM
275
6
0
13 May 2022
Membership Inference Attacks From First Principles
Membership Inference Attacks From First Principles
Nicholas Carlini
Steve Chien
Milad Nasr
Shuang Song
Seth Neel
Florian Tramèr
MIACVMIALM
652
901
0
07 Dec 2021
Membership Inference Attack and Defense for Wireless Signal Classifiers
  with Deep Learning
Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep LearningIEEE Transactions on Mobile Computing (IEEE TMC), 2021
Yi Shi
Y. Sagduyu
125
20
0
22 Jul 2021
Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference
  Perspective
Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference PerspectiveIEEE Symposium on Security and Privacy (IEEE S&P), 2021
Shahbaz Rezaei
Zubair Shafiq
Xin Liu
FedMLMIACV
230
17
0
12 May 2021
Membership Inference Attacks on Machine Learning: A Survey
Membership Inference Attacks on Machine Learning: A SurveyACM Computing Surveys (CSUR), 2021
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
371
577
0
14 Mar 2021
Fusion of Federated Learning and Industrial Internet of Things: A Survey
Fusion of Federated Learning and Industrial Internet of Things: A Survey
S. Priya
Praveen Kumar
Quoc-Viet Pham
Kapal Dev
Reddy Maddikunta
Thippa Reddy
Thien Huynh-The
AI4CE
137
237
0
04 Jan 2021
When Machine Learning Meets Privacy: A Survey and Outlook
When Machine Learning Meets Privacy: A Survey and OutlookACM Computing Surveys (ACM CSUR), 2020
B. Liu
Ming Ding
Sina shaham
W. Rahayu
F. Farokhi
Zihuai Lin
256
322
0
24 Nov 2020
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