Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations

17 January 2022

Papers citing "Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations"

7 / 7 papers shown

Title
Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision Nicholas Lui Bryan Chia William Berrios Candace Ross Douwe Kiela 27 2 0 25 Nov 2023
Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model Chris van der Lee Thiago Castro Ferreira Chris Emmery Travis J. Wiltshire Emiel Krahmer 24 2 0 14 Jul 2022
Speech Detection Task Against Asian Hate: BERT the Central, While Data-Centric Studies the Crucial Xin Lian 11 1 0 05 Jun 2022
Generating Natural Language Adversarial Examples through An Improved Beam Search Algorithm Tengfei Zhao Zhaocheng Ge Han Hu Di Shi AAML 35 3 0 15 Oct 2021
Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets Chuanrong Li Lin Shengshuo Leo Z. Liu Xinyi Wu Xuhui Zhou Shane Steinert-Threlkeld VLM 130 38 0 16 Oct 2020
Data Augmentation using Pre-trained Transformer Models Varun Kumar Ashutosh Choudhary Eunah Cho VLM 216 348 0 04 Mar 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016