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06/30/2023
Beyond Neural-on-Neural Approaches to Speaker Gender Protection
Recent research has proposed approaches that modify speech to defend aga...
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01/31/2023
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression
Perturbative availability poisoning (PAP) adds small changes to images t...
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11/02/2022
Generative Poisoning Using Random Discriminators
We introduce ShortcutGen, a new data poisoning attack that generates sam...
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05/30/2022
Domain Constraints in Feature Space: Strengthening Robustness of Android Malware Detection against Realizable Adversarial Examples
Strengthening the robustness of machine learning-based malware detectors...
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11/25/2021
Going Grayscale: The Road to Understanding and Improving Unlearnable Examples
Recent work has shown that imperceptible perturbations can be applied to...
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12/21/2020
On Success and Simplicity: A Second Look at Transferable Targeted Attacks
There is broad consensus among researchers studying adversarial examples...
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11/19/2020
Screen Gleaning: A Screen Reading TEMPEST Attack on Mobile Devices Exploiting an Electromagnetic Side Channel
We introduce screen gleaning, a TEMPEST attack in which the screen of a ...
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11/12/2020
Adversarial Robustness Against Image Color Transformation within Parametric Filter Space
We propose Adversarial Color Enhancement (ACE), a novel approach to gene...
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06/02/2020
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start
E-commerce platforms provide their customers with ranked lists of recomm...
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02/03/2020
A Differentiable Color Filter for Generating Unrestricted Adversarial Images
We propose Adversarial Color Filtering (AdvCF), an approach that uses a ...
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11/06/2019
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance
The success of image perturbations that are designed to fool image class...
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05/26/2019
Non-Determinism in Neural Networks for Adversarial Robustness
Recent breakthroughs in the field of deep learning have led to advanceme...
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01/29/2019
Who's Afraid of Adversarial Queries? The Impact of Image Modifications on Content-based Image Retrieval
An adversarial query is an image that has been modified to disrupt conte...
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11/28/2016
