Camouflage is all you need: Evaluating and Enhancing Language Model Robustness Against Camouflage Adversarial Attacks

15 February 2024

Papers citing "Camouflage is all you need: Evaluating and Enhancing Language Model Robustness Against Camouflage Adversarial Attacks"

5 / 5 papers shown

Title
Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word Camouflage Álvaro Huertas-García Alejandro Martín Javier Huertas-Tato David Camacho 34 9 0 27 Dec 2022
Gradient-based Adversarial Attacks against Text Transformers Chuan Guo Alexandre Sablayrolles Hervé Jégou Douwe Kiela SILM 103 227 0 15 Apr 2021
The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures Sushant Singh A. Mahmood AI4TS 60 92 0 23 Mar 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 256 1,996 0 31 Dec 2020
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 245 914 0 21 Apr 2018