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Robustness Tests for Automatic Machine Translation Metrics with Adversarial Attacks

Robustness Tests for Automatic Machine Translation Metrics with Adversarial Attacks

Yichen Huang
Timothy Baldwin
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Papers citing "Robustness Tests for Automatic Machine Translation Metrics with Adversarial Attacks"

6 / 6 papers shown
Title
Q-FAKER: Query-free Hard Black-box Attack via Controlled Generation
Q-FAKER: Query-free Hard Black-box Attack via Controlled Generation
CheolWon Na
YunSeok Choi
Jee-Hyong Lee
AAML
37
0
0
18 Apr 2025
AUEB-Archimedes at RIRAG-2025: Is obligation concatenation really all you need?
AUEB-Archimedes at RIRAG-2025: Is obligation concatenation really all you need?
Ioannis Chasandras
Odysseas S. Chlapanis
Ion Androutsopoulos
84
0
0
16 Dec 2024
Measure and Improve Robustness in NLP Models: A Survey
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
139
130
0
15 Dec 2021
Tailor: Generating and Perturbing Text with Semantic Controls
Tailor: Generating and Perturbing Text with Semantic Controls
Alexis Ross
Tongshuang Wu
Hao Peng
Matthew E. Peters
Matt Gardner
136
77
0
15 Jul 2021
Certified Robustness to Adversarial Word Substitutions
Certified Robustness to Adversarial Word Substitutions
Robin Jia
Aditi Raghunathan
Kerem Göksel
Percy Liang
AAML
188
291
0
03 Sep 2019
Generating Natural Language Adversarial Examples
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