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Quantifying and Mitigating Privacy Risks of Contrastive Learning

Quantifying and Mitigating Privacy Risks of Contrastive Learning

8 February 2021
Xinlei He
Yang Zhang
ArXivPDFHTML

Papers citing "Quantifying and Mitigating Privacy Risks of Contrastive Learning"

18 / 18 papers shown
Title
Measuring Déjà vu Memorization Efficiently
Measuring Déjà vu Memorization Efficiently
Narine Kokhlikyan
Bargav Jayaraman
Florian Bordes
Chuan Guo
Kamalika Chaudhuri
30
1
0
08 Apr 2025
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang
Ce Zhou
Yuanda Wang
Bocheng Chen
Hanqing Guo
Qiben Yan
AAML
SILM
63
3
0
20 Nov 2023
Membership Inference Attack for Beluga Whales Discrimination
Membership Inference Attack for Beluga Whales Discrimination
Voncarlos Marcelo Araújo
Sébastien Gambs
Clément Chion
Robert Michaud
L. Schneider
H. Lautraite
27
2
0
28 Feb 2023
"Real Attackers Don't Compute Gradients": Bridging the Gap Between
  Adversarial ML Research and Practice
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice
Giovanni Apruzzese
Hyrum S. Anderson
Savino Dambra
D. Freeman
Fabio Pierazzi
Kevin A. Roundy
AAML
31
75
0
29 Dec 2022
Data Poisoning Attacks Against Multimodal Encoders
Data Poisoning Attacks Against Multimodal Encoders
Ziqing Yang
Xinlei He
Zheng Li
Michael Backes
Mathias Humbert
Pascal Berrang
Yang Zhang
AAML
113
45
0
30 Sep 2022
Dataset Inference for Self-Supervised Models
Dataset Inference for Self-Supervised Models
Adam Dziedzic
Haonan Duan
Muhammad Ahmad Kaleem
Nikita Dhawan
Jonas Guan
Yannis Cattan
Franziska Boenisch
Nicolas Papernot
32
26
0
16 Sep 2022
M^4I: Multi-modal Models Membership Inference
M^4I: Multi-modal Models Membership Inference
Pingyi Hu
Zihan Wang
Ruoxi Sun
Hu Wang
Minhui Xue
39
26
0
15 Sep 2022
Membership-Doctor: Comprehensive Assessment of Membership Inference
  Against Machine Learning Models
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models
Xinlei He
Zheng Li
Weilin Xu
Cory Cornelius
Yang Zhang
MIACV
30
24
0
22 Aug 2022
Additive Logistic Mechanism for Privacy-Preserving Self-Supervised
  Learning
Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning
Yunhao Yang
Parham Gohari
Ufuk Topcu
18
1
0
25 May 2022
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained
  Encoders
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders
Tianshuo Cong
Xinlei He
Yang Zhang
21
52
0
27 Jan 2022
StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning
StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning
Yupei Liu
Jinyuan Jia
Hongbin Liu
Neil Zhenqiang Gong
MIACV
8
25
0
15 Jan 2022
Model Stealing Attacks Against Inductive Graph Neural Networks
Model Stealing Attacks Against Inductive Graph Neural Networks
Yun Shen
Xinlei He
Yufei Han
Yang Zhang
19
60
0
15 Dec 2021
Property Inference Attacks Against GANs
Property Inference Attacks Against GANs
Junhao Zhou
Yufei Chen
Chao Shen
Yang Zhang
AAML
MIACV
30
52
0
15 Nov 2021
EncoderMI: Membership Inference against Pre-trained Encoders in
  Contrastive Learning
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning
Hongbin Liu
Jinyuan Jia
Wenjie Qu
Neil Zhenqiang Gong
4
94
0
25 Aug 2021
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
290
1,815
0
14 Dec 2020
Stealing Links from Graph Neural Networks
Stealing Links from Graph Neural Networks
Xinlei He
Jinyuan Jia
Michael Backes
Neil Zhenqiang Gong
Yang Zhang
AAML
63
168
0
05 May 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song
Prateek Mittal
MIACV
196
358
0
24 Mar 2020
Dynamic Backdoor Attacks Against Machine Learning Models
Dynamic Backdoor Attacks Against Machine Learning Models
A. Salem
Rui Wen
Michael Backes
Shiqing Ma
Yang Zhang
AAML
21
269
0
07 Mar 2020
1