activity
20182023
most citedTextBugger: Generating Adversarial Text Against Real-world Applications

333 citations · 441 across the 12 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.CL2021★ 76 cited

Backdoor Pre-trained Models Can Transfer to All

Lujia Shen, Shouling Ji, Xuhong Zhang +6

Pre-trained general-purpose language models have been a dominating component in enabling real-world natural language processing (NLP) applications. However, a pre-trained model wit…

cs.LG2021

Counterfactual Adversarial Learning with Representation Interpolation

Wei Wang, Boxin Wang, Ning Shi +4

Deep learning models exhibit a preference for statistical fitting over logical reasoning. Spurious correlations might be memorized when there exists statistical bias in training da…

cs.CL2021★ 9 cited

Incorporating External POS Tagger for Punctuation Restoration

Ning Shi, Wei Wang, Boxin Wang +3

Punctuation restoration is an important post-processing step in automatic speech recognition. Among other kinds of external information, part-of-speech (POS) taggers provide inform…

cs.CV2021★ 3 cited

QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval

Xiaodan Li, Jinfeng Li, Yuefeng Chen +5

We study the query-based attack against image retrieval to evaluate its robustness against adversarial examples under the black-box setting, where the adversary only has query acce…

cs.CL2021

Enhancing Model Robustness By Incorporating Adversarial Knowledge Into Semantic Representation

Jinfeng Li, Tianyu Du, Xiangyu Liu +3

Despite that deep neural networks (DNNs) have achieved enormous success in many domains like natural language processing (NLP), they have also been proven to be vulnerable to malic…