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Low-Cost High-Power Membership Inference Attacks

Low-Cost High-Power Membership Inference Attacks

6 December 2023
Sajjad Zarifzadeh
Philippe Liu
Reza Shokri
ArXivPDFHTML

Papers citing "Low-Cost High-Power Membership Inference Attacks"

10 / 10 papers shown
Title
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Sonal Allana
Mohan Kankanhalli
Rozita Dara
27
0
0
05 May 2025
DeSIA: Attribute Inference Attacks Against Limited Fixed Aggregate Statistics
DeSIA: Attribute Inference Attacks Against Limited Fixed Aggregate Statistics
Yifeng Mao
Bozhidar Stevanoski
Yves-Alexandre de Montjoye
45
0
0
25 Apr 2025
AMUN: Adversarial Machine UNlearning
AMUN: Adversarial Machine UNlearning
A. Boroojeny
Hari Sundaram
Varun Chandrasekaran
MU
AAML
43
0
0
02 Mar 2025
Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study
Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study
Ayana Moshruba
Ihsen Alouani
Maryam Parsa
AAML
44
3
0
24 Feb 2025
The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text
The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text
Matthieu Meeus
Lukas Wutschitz
Santiago Zanella Béguelin
Shruti Tople
Reza Shokri
75
0
0
24 Feb 2025
On the Implicit Relation Between Low-Rank Adaptation and Differential Privacy
On the Implicit Relation Between Low-Rank Adaptation and Differential Privacy
Saber Malekmohammadi
G. Farnadi
24
2
0
26 Sep 2024
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding
Cheng Wang
Yiwei Wang
Bryan Hooi
Yujun Cai
Nanyun Peng
Kai-Wei Chang
37
2
0
05 Sep 2024
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language
  Models for Privacy Leakage
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage
Md. Rafi Ur Rashid
Jing Liu
T. Koike-Akino
Shagufta Mehnaz
Ye Wang
MU
SILM
31
3
0
30 Aug 2024
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
267
1,808
0
14 Dec 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song
Prateek Mittal
MIACV
185
358
0
24 Mar 2020
1