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Inference Attack

5 papers with code · Adversarial

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Membership Inference Attacks Against Object Detection Models

12 Jan 2020yechanp/Membership-Inference-Attacks-Against-Object-Detection-Models

Machine learning models can leak information regarding the dataset they have trained.

INFERENCE ATTACK OBJECT DETECTION

2
12 Jan 2020

Privacy Risks of Securing Machine Learning Models against Adversarial Examples

24 May 2019inspire-group/privacy-vs-robustness

To perform the membership inference attacks, we leverage the existing inference methods that exploit model predictions.

ADVERSARIAL DEFENSE INFERENCE ATTACK

18
24 May 2019

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

4 Jun 2018Lab41/cyphercat

In addition, we propose the first effective defense mechanisms against such broader class of membership inference attacks that maintain a high level of utility of the ML model.

INFERENCE ATTACK

58
04 Jun 2018

Understanding Membership Inferences on Well-Generalized Learning Models

13 Feb 2018BielStela/membership_inference

Membership Inference Attack (MIA) determines the presence of a record in a machine learning model's training data by querying the model.

INFERENCE ATTACK

10
13 Feb 2018

Membership Inference Attacks against Machine Learning Models

18 Oct 2016spring-epfl/mia

We quantitatively investigate how machine learning models leak information about the individual data records on which they were trained.

INFERENCE ATTACK

43
18 Oct 2016