58 citations · 265 across the 29 of their papers we have counts for
29 papers
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression
Zhuoran Liu, Zhengyu Zhao, Martha Larson
Perturbative availability poisons (PAPs) add small changes to images to prevent their use for model training. Current research adopts the belief that practical and effective approa…
Generative Poisoning Using Random Discriminators
Dirren van Vlijmen, Alex Kolmus, Zhuoran Liu +2
We introduce ShortcutGen, a new data poisoning attack that generates sample-dependent, error-minimizing perturbations by learning a generator. The key novelty of ShortcutGen is the…
Minimizing Mindless Mentions: Recommendation with Minimal Necessary User Reviews
Danny Stax, Manel Slokom, Martha Larson
Recently, researchers have turned their attention to recommender systems that use only minimal necessary data. This trend is informed by the idea that recommender systems should us…
Gender In Gender Out: A Closer Look at User Attributes in Context-Aware Recommendation
Manel Slokom, Özlem Özgöbek, Martha Larson
This paper studies user attributes in light of current concerns in the recommender system community: diversity, coverage, calibration, and data minimization. In experiments with a…
The Importance of Image Interpretation: Patterns of Semantic Misclassification in Real-World Adversarial Images
Zhengyu Zhao, Nga Dang, Martha Larson
Adversarial images are created with the intention of causing an image classifier to produce a misclassification. In this paper, we propose that adversarial images should be evaluat…
Regex in a Time of Deep Learning: The Role of an Old Technology in Age Discrimination Detection in Job Advertisements
Anna Pillar, Kyrill Poelmans, Martha Larson
Deep learning holds great promise for detecting discriminatory language in the public sphere. However, for the detection of illegal age discrimination in job advertisements, regex…