WebJan 21, 2024 · Our first contribution is an extensive dataset for attack detection and labeling: 1.5~million attack instances, generated by twelve adversarial attacks targeting three classifiers trained on six... Web184 ally collected data through many successive rounds 185 have been shown to attain better performance (Wal- 186 lace et al.,2024). In this work, we choose instead 187 to focus exclusively on using adversarial examples 188 as evaluation data. 189 In concurrent work, Adversarial Glue (Wang 190 et al.,2024) applying a range of textual adversarial 191 …
Adversarial GLUE: A Multi-Task Benchmark for Robustness …
WebJan 21, 2024 · Adversarial GLUE (W ang et al., 2024b) is a multi-task. robustness benchmark that was created by applying. 14 textual adversarial attack methods to … WebAug 20, 2024 · In this paper, we present Adversarial GLUE (AdvGLUE), a new multi-task benchmark to quantitatively and thoroughly explore and evaluate the vulnerabilities of … show download progress windows 10
SuperGLUE Proceedings of the 33rd International Conference …
WebAdversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models Boxin Wang1, Chejian Xu2, Shuohang Wang3, Zhe Gan3, Yu Cheng 3, Jianfeng Gao , Ahmed Hassan Awadallah , Bo Li1 1University of Illinois at Urbana-Champaign 2Zhejiang University, 3Microsoft Corporation {boxinw2,lbo}@illinois.edu, … Webfrequency in the train corpus. GLUE scores for differently-sized generators and discriminators are shown in the left of Figure 3. All models are trained for 500k steps, … WebAdversarial GLUE Benchmark (AdvGLUE) is a comprehensive robustness evaluation benchmark that focuses on the adversarial robustness evaluation of language models. It … show downloaded books on kindle