Don't be a Fool: Pooling Strategies in Offensive Language Detection from
User-Intended Adversarial Attacks

Don't be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks

20 March 2024

Juhwan Choi

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Papers citing "Don't be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks"

8 / 8 papers shown

Title
Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling Dongsuk Oh Yejin Kim Hodong Lee Huimin Huang Heu-Jeoung Lim 64 10 0 13 Sep 2022
DeBERTa: Decoding-enhanced BERT with Disentangled Attention Pengcheng He Xiaodong Liu Jianfeng Gao Weizhu Chen AAML 161 2,737 0 05 Jun 2020
Attacking Neural Text Detectors Max Wolff Stuart Wolff AAML DeLMO 50 50 0 19 Feb 2020
Unsupervised Cross-lingual Representation Learning at Scale Alexis Conneau Kartikay Khandelwal Naman Goyal Vishrav Chaudhary Guillaume Wenzek Francisco Guzmán Edouard Grave Myle Ott Luke Zettlemoyer Veselin Stoyanov 220 6,565 0 05 Nov 2019
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment Di Jin Zhijing Jin Qiufeng Wang Peter Szolovits SILM AAML 179 1,078 0 27 Jul 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 659 24,464 0 26 Jul 2019
TextBugger: Generating Adversarial Text Against Real-world Applications Jinfeng Li S. Ji Tianyu Du Bo Li Ting Wang SILM AAML 211 738 0 13 Dec 2018
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.0K 23,354 0 03 Jun 2014