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08/20/2021
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier
The adversarial patch attack against image classification models aims to...
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04/26/2021
PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches
An adversarial patch can arbitrarily manipulate image pixels within a re...
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04/19/2021
Improving Adversarial Robustness Using Proxy Distributions
We focus on the use of proxy distributions, i.e., approximations of the ...
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02/05/2021
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks
State-of-the-art object detectors are vulnerable to localized patch hidi...
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05/17/2020
PatchGuard: Provable Defense against Adversarial Patches Using Masks on Small Receptive Fields
Localized adversarial patches aim to induce misclassification in machine...
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12/06/2018
Differentially Private Data Generative Models
Deep neural networks (DNNs) have recently been widely adopted in various...
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09/19/2018
