In and Out-of-Domain Text Adversarial Robustness via Label Smoothing

20 December 2022

Papers citing "In and Out-of-Domain Text Adversarial Robustness via Label Smoothing"

7 / 7 papers shown

Title
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks Yang Wang Chenghua Lin ELM 45 0 0 05 Jan 2025
Evaluating the Adversarial Robustness of Retrieval-Based In-Context Learning for Large Language Models Simon Chi Lok Yu Jie He Pasquale Minervini Jeff Z. Pan 30 0 0 24 May 2024
Revisiting the Role of Label Smoothing in Enhanced Text Sentiment Classification Yijie Gao Shijing Si Hua Luo Haixia Sun Yugui Zhang 21 0 0 11 Dec 2023
Context-Aware Selective Label Smoothing for Calibrating Sequence Recognition Model Shuangping Huang Y. Luo Zhenzhou Zhuang Jin-Gang Yu Mengchao He Yongpan Wang 40 8 0 13 Mar 2023
Gradient-based Adversarial Attacks against Text Transformers Chuan Guo Alexandre Sablayrolles Hervé Jégou Douwe Kiela SILM 109 230 0 15 Apr 2021
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 248 290 0 17 Mar 2020
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 258 916 0 21 Apr 2018