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USENIX Security '18 - AttriGuard: A Practical Defense Against Attribute Inference Attacks...
USENIX Security '18 - AttriGuard: A Practical Defense Against Attribute Inference Attacks...
Is approximation universally defensive against adversarial attacks in deep neural networks
NDSS 2025 - Defending Against Membership Inference Attacks on Iteratively Pruned Deep Neural Network
NDSS 2019 ML-Leaks: Inference Attacks and Defenses on Machine Learning Models
Membership Inference Attacks against Adversarially Robust Deep Learning Models
USENIX Security '22 - Membership Inference Attacks and Defenses in Neural Network Pruning
One Parameter Defense—Defending Against Data Inference Attacks via Differential Privacy
