Issues
- 13
Which python version?
#63 opened by jhuvehicle - 1
Cannot reproduce results with FAKE
#60 opened by AntoineGourru - 0
Evaluation on AGnews
#62 opened by MT010104 - 13
full adversarial example for FAKE using BERT
#52 opened by maverickyu - 5
- 3
- 1
Questions about the dataset
#46 opened by Youoo1 - 4
- 3
Question about the results of the attack
#37 opened by milumilum - 5
- 1
- 1
Not able to run cos_sim.py
#30 opened by ashwani-bhat - 5
- 1
Questions about string cleaning
#38 opened by Opdoop - 1
question about sim_scores
#36 opened by zedzx1uv - 1
Is it possible to include support for any custom dataset in a given specified format?
#35 opened by QMrpy - 6
- 1
- 2
Implementation on other dataset
#29 opened by sharon-gao - 2
- 7
How to install USE successfully?
#28 opened by sharon-gao - 4
- 2
About Data Size
#26 opened by CuiMingyu - 8
Adversarial examples provided in google drive are not able to fool your trained target model (BERT) itself
#23 opened by SachJbp - 2
The counter-fitting word embeddings
#21 opened by Palipoor - 5
Regarding Semantic Similarity
#20 opened by RishabhMaheshwary - 1
examples
#19 opened by jxmorris12 - 0
- 6
How do you measure the after-attack accuracy ?
#17 opened by mahossam - 5
- 2
Question on Experiment Details
#16 opened by NoviScl - 1
- 4
- 5
Results slightly different from paper
#1 opened by uvafan - 14
Regarding --max_sequence_length
#13 opened by RishabhMaheshwary - 3
- 0
Regarding No. of classes in AG News
#11 opened by RishabhMaheshwary - 1
特地前来感谢,个人认为是文本对抗领域的开山之作之一
#10 opened by cwb96 - 4
Doubt regarding synonym replacement
#9 opened by RishabhMaheshwary - 3
- 4
About pytorch_pretrained_bert
#7 opened by lexmen318 - 0
Evaluation of models on SNLI and MNLI
#2 opened by chauhanjatin10