Defenses Against Inference Attacks

Introduction of Defenses Against Inference Attacks

USENIX Security '22 - ML-Doctor: Holistic Risk Assessment of Jing Long, The University of Queensland, Brisbane, QLD, Australia. Federated Learning (FL) is a decentralized machine learning approach that addresses the limitations of traditional centralized ... For those releasing LLMs into the wild, the data it was trained on is their secret sauce. As an example, the data used Authors: Geon Heo and Steven Euijong Whang Abstract: Information leakage is becoming a critical problem as various ... Can someone tell whose data trained your AI model? Yes—and that's a privacy violation. Membership

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USENIX Security '18 - AttriGuard: A Practical Defense Against Attribute Inference Attacks...
Membership Inference Attacks Explained: Protecting AI Data Privacy
USENIX Security '22 - Membership Inference Attacks and Defenses in Neural Network Pruning
[ICLR 2022 spotlight] RelaxLoss: Defending Membership Inference Attacks without Losing Utility
[rfp0539] Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation
USENIX Security '22 - ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation
FL5: Membership Inference Attacks
NDSS 2025 - Defending Against Membership Inference Attacks on Iteratively Pruned Deep Neural Network
Large Language Model Security: Membership Inference Attacks
USENIX Security '24 - Defending Against Data Reconstruction Attacks in Federated Learning: An...
[6B] MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members

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Last Updated: May 21, 2026

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Defenses Against Inference Attacks

Defenses Against Inference Attacks

This video is part of the Udacity course "Intro

Editorial 2:56 1,950 views 21 Juni 2025

Defenses Against Inference Attacks Process

Defenses Against Inference Attacks Process

This video is part of the Udacity course "Intro

Editorial 3:12 1,228 views 13 Oktober 2025

USENIX Security '18 - AttriGuard: A Practical Defense Against Attribute Inference Attacks...

USENIX Security '18 - AttriGuard: A Practical Defense Against Attribute Inference Attacks...

AttriGuard: A Practical

Editorial 25:43 112 views 22 Desember 2025

Membership Inference Attacks Explained: Protecting AI Data Privacy

Membership Inference Attacks Explained: Protecting AI Data Privacy

Discover the hidden risks of Membership

Editorial 5:12 770 views 23 Januari 2026

USENIX Security '22 - Membership Inference Attacks and Defenses in Neural Network Pruning

USENIX Security '22 - Membership Inference Attacks and Defenses in Neural Network Pruning

USENIX Security '22 - Membership

Editorial 13:56 855 views 03 Agustus 2025

[ICLR 2022 spotlight] RelaxLoss: Defending Membership Inference Attacks without Losing Utility

[ICLR 2022 spotlight] RelaxLoss: Defending Membership Inference Attacks without Losing Utility

[ICLR 2022 spotlight] RelaxLoss:

Editorial 4:43 307 views 23 Februari 2026

USENIX Security '22 - ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine

USENIX Security '22 - ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine

USENIX Security '22 - ML-Doctor: Holistic Risk Assessment of

Editorial 10:56 479 views 07 Oktober 2025

Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation

Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation

Jing Long, The University of Queensland, Brisbane, QLD, Australia.

Editorial 9:54 115 views 26 Maret 2026

FL5: Membership Inference Attacks

FL5: Membership Inference Attacks

Federated Learning (FL) is a decentralized machine learning approach that addresses the limitations of traditional centralized ...

Editorial 7:15 273 views 18 Desember 2025

NDSS 2025 - Defending Against Membership Inference Attacks on Iteratively Pruned Deep Neural Network

NDSS 2025 - Defending Against Membership Inference Attacks on Iteratively Pruned Deep Neural Network

SESSION Session 12C: Membership

Editorial 13:06 58 views 04 Oktober 2025

Large Language Model Security: Membership Inference Attacks

Large Language Model Security: Membership Inference Attacks

For those releasing LLMs into the wild, the data it was trained on is their secret sauce. As an example, the data used

Editorial 3:48 348 views 04 April 2026

Redactor: A Data-centric and Individualized Defense Against Inference Attacks (AAAI 2023)

Redactor: A Data-centric and Individualized Defense Against Inference Attacks

Authors: Geon Heo and Steven Euijong Whang Abstract: Information leakage is becoming a critical problem as various ...

Editorial 11:29 154 views 11 Oktober 2025

USENIX Security '24 - A Linear Reconstruction Approach for Attribute Inference Attacks against...

USENIX Security '24 - A Linear Reconstruction Approach for Attribute Inference Attacks against...

A Linear Reconstruction Approach for Attribute

Editorial 11:58 108 views 05 November 2025

Membership inference attacks from first principles

Membership inference attacks from first principles

Membership

Editorial 22:26 6,249 views 13 Desember 2025

Membership Inference Attacks Explained | AiSecurityDIR

Membership Inference Attacks Explained | AiSecurityDIR

Can someone tell whose data trained your AI model? Yes—and that's a privacy violation. Membership

Editorial 7:51 64 views 20 Oktober 2025