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Found 12 papers, 3 papers with code
Digital Forgetting in Large Language Models: A Survey of Unlearning Methods
The objective of digital forgetting is, given a model with undesirable knowledge or behavior, obtain a new model where the detected issues are no longer present.
Exploring language relations through syntactic distances and geographic proximity
Languages are grouped into families that share common linguistic traits.
Multi-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks
To address these issues, we present the Multi-Task Faces (MTF) image data set, a meticulously curated collection of face images designed for various classification tasks, including face recognition, as well as race, gender, and age classification.
An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata
The alleged threat of reconstruction attacks has led the U. S. Census Bureau (USCB) to replace in the Decennial Census 2020 the traditional statistical disclosure limitation based on rank swapping with one based on differential privacy (DP).
Defending against the Label-flipping Attack in Federated Learning
The label-flipping (LF) attack is a targeted poisoning attack where the attackers poison their training data by flipping the labels of some examples from one class (i. e., the source class) to another (i. e., the target class).
The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization
We present a novel benchmark and associated evaluation metrics for assessing the performance of text anonymization methods.
Secure and Privacy-Preserving Federated Learning via Co-Utility
In this paper we build a federated learning framework that offers privacy to the participating peers as well as security against Byzantine and poisoning attacks.
Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions
In contrast with centralized ML approaches, FL saves computation to the server and does not require the clients to outsource their private data to the server.
Mapping the Americanization of English in Space and Time
As global political preeminence gradually shifted from the United Kingdom to the United States, so did the capacity to culturally influence the rest of the world.
Supplementary Materials for "How to Avoid Reidentification with Proper Anonymization"- Comment on "Unique in the shopping mall: on the reidentifiability of credit card metadata"
The study by De Montjoye et al. ("Science", 30 January 2015, p. 536) claimed that most individuals can be reidentified from a deidentified credit card transaction database and that anonymization mechanisms are not effective against reidentification.
Cryptography and Security 68 K.4.1
Learning about Spanish dialects through Twitter
This paper maps the large-scale variation of the Spanish language by employing a corpus based on geographically tagged Twitter messages.
Crowdsourcing Dialect Characterization through Twitter
We perform a large-scale analysis of language diatopic variation using geotagged microblogging datasets.
