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SemAttack: Natural Textual Attacks via Different Semantic Spaces

SemAttack: Natural Textual Attacks via Different Semantic Spaces

3 May 2022
Wei Ping
Chejian Xu
Xiangyu Liu
Yuk-Kit Cheng
Bo-wen Li
    SILM
    AAML
ArXivPDFHTML

Papers citing "SemAttack: Natural Textual Attacks via Different Semantic Spaces"

14 / 14 papers shown
Title
aiXamine: Simplified LLM Safety and Security
aiXamine: Simplified LLM Safety and Security
Fatih Deniz
Dorde Popovic
Yazan Boshmaf
Euisuh Jeong
M. Ahmad
Sanjay Chawla
Issa M. Khalil
ELM
80
0
0
21 Apr 2025
Obfuscating IoT Device Scanning Activity via Adversarial Example
  Generation
Obfuscating IoT Device Scanning Activity via Adversarial Example Generation
Haocong Li
Yaxin Zhang
Long Cheng
Wenjia Niu
Haining Wang
Qiang Li
AAML
41
0
0
17 Jun 2024
VertAttack: Taking advantage of Text Classifiers' horizontal vision
VertAttack: Taking advantage of Text Classifiers' horizontal vision
Jonathan Rusert
AAML
43
1
0
12 Apr 2024
Quantifying Uncertainty in Natural Language Explanations of Large
  Language Models
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
Sree Harsha Tanneru
Chirag Agarwal
Himabindu Lakkaraju
LRM
27
14
0
06 Nov 2023
The Trickle-down Impact of Reward (In-)consistency on RLHF
The Trickle-down Impact of Reward (In-)consistency on RLHF
Lingfeng Shen
Sihao Chen
Linfeng Song
Lifeng Jin
Baolin Peng
Haitao Mi
Daniel Khashabi
Dong Yu
40
21
0
28 Sep 2023
A Classification-Guided Approach for Adversarial Attacks against Neural
  Machine Translation
A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation
Sahar Sadrizadeh
Ljiljana Dolamic
P. Frossard
AAML
SILM
44
2
0
29 Aug 2023
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text
  Classification
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text Classification
Lingfeng Shen
Ze Zhang
Haiyun Jiang
Ying-Cong Chen
AAML
41
5
0
03 Feb 2023
TransFool: An Adversarial Attack against Neural Machine Translation
  Models
TransFool: An Adversarial Attack against Neural Machine Translation Models
Sahar Sadrizadeh
Ljiljana Dolamic
P. Frossard
SILM
AAML
39
12
0
02 Feb 2023
Exploring the Limits of Domain-Adaptive Training for Detoxifying
  Large-Scale Language Models
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models
Wei Ping
Ming-Yu Liu
Chaowei Xiao
P. Xu
M. Patwary
M. Shoeybi
Bo-wen Li
Anima Anandkumar
Bryan Catanzaro
25
65
0
08 Feb 2022
Gradient-based Adversarial Attacks against Text Transformers
Gradient-based Adversarial Attacks against Text Transformers
Chuan Guo
Alexandre Sablayrolles
Hervé Jégou
Douwe Kiela
SILM
106
227
0
15 Apr 2021
Robust Encodings: A Framework for Combating Adversarial Typos
Robust Encodings: A Framework for Combating Adversarial Typos
Erik Jones
Robin Jia
Aditi Raghunathan
Percy Liang
AAML
142
102
0
04 May 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
232
438
0
25 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
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
299
6,984
0
20 Apr 2018
1