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On the Transferability of Adversarial Attacksagainst Neural Text
  Classifier
v1v2v3 (latest)

On the Transferability of Adversarial Attacksagainst Neural Text Classifier

17 November 2020
Liping Yuan
Xiaoqing Zheng
Yi Zhou
Cho-Jui Hsieh
Kai-Wei Chang
    SILMAAML
ArXiv (abs)PDFHTML

Papers citing "On the Transferability of Adversarial Attacksagainst Neural Text Classifier"

16 / 16 papers shown
Title
Spiking Convolutional Neural Networks for Text Classification
Spiking Convolutional Neural Networks for Text Classification
Changze Lv
Jianhan Xu
Xiaoqing Zheng
93
32
0
27 Jun 2024
Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered
  Applications
Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications
Quan Zhang
Binqi Zeng
Chijin Zhou
Gwihwan Go
Heyuan Shi
Yu Jiang
SILMAAML
85
24
0
26 Apr 2024
A Survey on Transferability of Adversarial Examples across Deep Neural
  Networks
A Survey on Transferability of Adversarial Examples across Deep Neural Networks
Jindong Gu
Xiaojun Jia
Pau de Jorge
Wenqain Yu
Xinwei Liu
...
Anjun Hu
Ashkan Khakzar
Zhijiang Li
Xiaochun Cao
Philip Torr
AAML
113
31
0
26 Oct 2023
CT-GAT: Cross-Task Generative Adversarial Attack based on
  Transferability
CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability
Minxuan Lv
Chengwei Dai
Kun Li
Wei Zhou
Song Hu
AAML
94
6
0
22 Oct 2023
Fooling the Textual Fooler via Randomizing Latent Representations
Fooling the Textual Fooler via Randomizing Latent Representations
Duy C. Hoang
Quang H. Nguyen
Saurav Manchanda
MinLong Peng
Kok-Seng Wong
Khoa D. Doan
SILMAAML
64
0
0
02 Oct 2023
LEAP: Efficient and Automated Test Method for NLP Software
LEAP: Efficient and Automated Test Method for NLP Software
Ming-Ming Xiao
Yan Xiao
Hai Dong
Shunhui Ji
Pengcheng Zhang
AAML
62
8
0
22 Aug 2023
On Evaluating Adversarial Robustness of Large Vision-Language Models
On Evaluating Adversarial Robustness of Large Vision-Language Models
Yunqing Zhao
Tianyu Pang
Chao Du
Xiao Yang
Chongxuan Li
Ngai-Man Cheung
Min Lin
VLMAAMLMLLM
149
184
0
26 May 2023
How to choose your best allies for a transferable attack?
How to choose your best allies for a transferable attack?
Thibault Maho
Seyed-Mohsen Moosavi-Dezfooli
Teddy Furon
AAML
52
1
0
05 Apr 2023
Deepfake Text Detection: Limitations and Opportunities
Deepfake Text Detection: Limitations and Opportunities
Jiameng Pu
Zain Sarwar
Sifat Muhammad Abdullah
A. Rehman
Yoonjin Kim
P. Bhattacharya
M. Javed
Bimal Viswanath
AAML
65
57
0
17 Oct 2022
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools
  Stock Predictions
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Predictions
Yong Xie
Dakuo Wang
Pin-Yu Chen
Jinjun Xiong
Sijia Liu
Oluwasanmi Koyejo
AAML
92
22
0
01 May 2022
Threats to Pre-trained Language Models: Survey and Taxonomy
Threats to Pre-trained Language Models: Survey and Taxonomy
Shangwei Guo
Chunlong Xie
Jiwei Li
Lingjuan Lyu
Tianwei Zhang
PILM
55
32
0
14 Feb 2022
Measure and Improve Robustness in NLP Models: A Survey
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
293
139
0
15 Dec 2021
Detecting Textual Adversarial Examples through Randomized Substitution
  and Vote
Detecting Textual Adversarial Examples through Randomized Substitution and Vote
Xiaosen Wang
Yifeng Xiong
Kun He
AAML
52
11
0
13 Sep 2021
Certified Robustness to Text Adversarial Attacks by Randomized [MASK]
Certified Robustness to Text Adversarial Attacks by Randomized [MASK]
Jiehang Zeng
Xiaoqing Zheng
Jianhan Xu
Linyang Li
Liping Yuan
Xuanjing Huang
AAML
78
70
0
08 May 2021
Token-Modification Adversarial Attacks for Natural Language Processing:
  A Survey
Token-Modification Adversarial Attacks for Natural Language Processing: A Survey
Tom Roth
Yansong Gao
A. Abuadbba
Surya Nepal
Wei Liu
AAML
106
12
0
01 Mar 2021
Generating Natural Adversarial Examples
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GANAAML
194
601
0
31 Oct 2017
1