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03/16/2022
MIMO-GAN: Generative MIMO Channel Modeling
We propose generative channel modeling to learn statistical channel mode...
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09/01/2020
Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries
Machine learning models have been shown to leak information violating th...
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06/15/2020
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
The wide-spread availability of rich data has fueled the growth of machi...
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05/20/2020
InfoScrub: Towards Attribute Privacy by Targeted Obfuscation
Personal photos of individuals when shared online, apart from exhibiting...
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06/26/2019
Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks
With the advances of ML models in recent years, we are seeing an increas...
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12/06/2018
Knockoff Nets: Stealing Functionality of Black-Box Models
Machine Learning (ML) models are increasingly deployed in the wild to pe...
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05/15/2018
Understanding and Controlling User Linkability in Decentralized Learning
Machine Learning techniques are widely used by online services (e.g. Goo...
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12/04/2017
Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images
Images convey a broad spectrum of personal information. If such images a...
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03/30/2017