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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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08/05/2022
Minimizing Mindless Mentions: Recommendation with Minimal Necessary User Reviews
Recently, researchers have turned their attention to recommender systems...
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07/28/2022
Gender In Gender Out: A Closer Look at User Attributes in Context-Aware Recommendation
This paper studies user attributes in light of current concerns in the r...
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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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05/18/2022
Regex in a Time of Deep Learning: The Role of an Old Technology in Age Discrimination Detection in Job Advertisements
Deep learning holds great promise for detecting discriminatory language ...
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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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10/07/2021
Doing Data Right: How Lessons Learned Working with Conventional Data should Inform the Future of Synthetic Data for Recommender Systems
We present a case that the newly emerging field of synthetic data in the...
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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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08/09/2020
Partially Synthetic Data for Recommender Systems: Prediction Performance and Preference Hiding
This paper demonstrates the potential of statistical disclosure control ...
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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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09/05/2019
Remembering Winter Was Coming: Character-Oriented Video Summaries of TV Series
Today's popular TV series tend to develop continuous, complex plots span...
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09/05/2019
Remembering winter was coming
Today's popular TV series tend to develop continuous, complex plots span...
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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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12/19/2018
Factorization Machines for Data with Implicit Feedback
In this work, we propose FM-Pair, an adaptation of Factorization Machine...
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07/23/2018
From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene Recognition
As deep learning approaches to scene recognition emerge, they have conti...
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06/07/2018
Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour
This document contains the outcome of the first Human behaviour and mach...
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03/13/2018
Investigating the Effect of Music and Lyrics on Spoken-Word Recognition
Background music in social interaction settings can hinder conversation....
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01/12/2016