research
∙
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 ...
share
research
∙
01/31/2023
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression
Perturbative availability poisoning (PAP) adds small changes to images t...
research
∙
11/17/2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks
Transfer adversarial attacks raise critical security concerns in real-wo...
research
∙
11/02/2022
Generative Poisoning Using Random Discriminators
We introduce ShortcutGen, a new data poisoning attack that generates sam...
research
∙
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...
research
∙
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...
research
∙
11/25/2021
Going Grayscale: The Road to Understanding and Improving Unlearnable Examples
Recent work has shown that imperceptible perturbations can be applied to...
research
∙
12/21/2020
On Success and Simplicity: A Second Look at Transferable Targeted Attacks
There is broad consensus among researchers studying adversarial examples...
research
∙
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 ...
research
∙
11/12/2020
Adversarial Robustness Against Image Color Transformation within Parametric Filter Space
We propose Adversarial Color Enhancement (ACE), a novel approach to gene...
research
∙
09/21/2020
Profile Consistency Identification for Open-domain Dialogue Agents
Maintaining a consistent attribute profile is crucial for dialogue agent...
research
∙
02/03/2020
A Differentiable Color Filter for Generating Unrestricted Adversarial Images
We propose Adversarial Color Filtering (AdvCF), an approach that uses a ...
research
∙
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...
research
∙
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...
research
∙
07/23/2018