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09/03/2023
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection
Malicious use of deepfakes leads to serious public concerns and reduces ...
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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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11/17/2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks
Transfer adversarial attacks raise critical security concerns in real-wo...
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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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06/03/2022
Evaluating Transfer-based Targeted Adversarial Perturbations against Real-World Computer Vision Systems based on Human Judgments
Computer vision systems are remarkably vulnerable to adversarial perturb...
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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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09/21/2020
Profile Consistency Identification for Open-domain Dialogue Agents
Maintaining a consistent attribute profile is crucial for dialogue agent...
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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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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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07/23/2018
