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ResearchFormerly WizWand

Text Classification on Yelp Polarity (test)

95.8AccuracySDM-ATTACK
8890.02592.0594.075Jan 28, 2019Oct 18, 2019Jul 7, 2020Mar 28, 2021Dec 16, 2021Sep 5, 2022May 27, 2023
Updated 8mo ago

Evaluation results

MethodLinks
SDM-ATTACKVictim Model=BERT2023.0595.8—8.271
VDCNNDepth=29, #Conv Params [M]=4.6, #FC Params [M]=12.59, #Total Params [M]=17.19, Storage Size [MB]=64.162019.0195.72———
Char-CNNDepth=6, #Conv Params [M]=1.37, #FC Params [M]=11.34, #Total Params [M]=12.71, Storage Size [MB]=43.252019.0195.64———
VDCNNDepth=17, #Conv Params [M]=4.4, #FC Params [M]=12.59, #Total Params [M]=16.99, Storage Size [MB]=62.742019.0195.5———
SVDCNNDepth=29, #Conv Params [M]=1.56, #FC Params [M]=0.02, #Total Params [M]=1.58, Storage Size [MB]=6.032019.0195.26———
VDCNNDepth=9, #Conv Params [M]=2.2, #FC Params [M]=12.59, #Total Params [M]=14.79, Storage Size [MB]=54.752019.0195.12———
SVDCNNDepth=17, #Conv Params [M]=1.43, #FC Params [M]=0.02, #Total Params [M]=1.45, Storage Size [MB]=5.522019.0195.04———
SVDCNNDepth=9, #Conv Params [M]=0.71, #FC Params [M]=0.02, #Total Params [M]=0.73, Storage Size [MB]=2.82019.0194.99———
TextFoolerVictim Model=BERT2023.0590.5—969
BERT-AttackVictim Model=BERT2023.0589.8—12.466
A2TVictim Model=BERT2023.0588.3—8.168
BERT-CDPT-FiTconfiguration=BERT + Cross-Domain Pre-Training + Fine-Tuning2019.05—1.97——
BERT-Featconfiguration=BERT as features2019.05—2.39——
BERT-FiTconfiguration=BERT + Fine-Tuning2019.05—2.28——
BERT-IDPT-FiTconfiguration=BERT + In-Domain Pre-Training + Fine-Tuning2019.05—1.87——
BERT-ITPT-FiTconfiguration=BERT + withIn-Task Pre-Training + Fine-Tuning2019.05—1.92——
Char-level CNN2019.05—4.88——
D-LSTM2019.05—7.4——
DPCNN2019.05—2.64——
Region Emb.2019.05—3.6——
ULMFIT2019.05—2.16——
VDCNN2019.05—4.28——