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2011.08558
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On the Transferability of Adversarial Attacksagainst Neural Text Classifier
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
17 November 2020
Liping Yuan
Xiaoqing Zheng
Yi Zhou
Cho-Jui Hsieh
Kai-Wei Chang
SILM
AAML
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Papers citing
"On the Transferability of Adversarial Attacksagainst Neural Text Classifier"
16 / 16 papers shown
Spiking Convolutional Neural Networks for Text Classification
Changze Lv
Jianhan Xu
Xiaoqing Zheng
291
42
0
27 Jun 2024
Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications
Quan Zhang
Binqi Zeng
Chijin Zhou
Gwihwan Go
Heyuan Shi
Yu Jiang
SILM
AAML
306
43
0
26 Apr 2024
A Survey on Transferability of Adversarial Examples across Deep Neural Networks
Jindong Gu
Yang Liu
Pau de Jorge
Wenqain Yu
Xinwei Liu
...
Anjun Hu
Ashkan Khakzar
Zhijiang Li
Simeng Qin
Juil Sock
AAML
500
58
0
26 Oct 2023
CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Minxuan Lv
Chengwei Dai
Kun Li
Wei Zhou
Song Hu
AAML
361
10
0
22 Oct 2023
Fooling the Textual Fooler via Randomizing Latent Representations
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Duy C. Hoang
Quang H. Nguyen
Saurav Manchanda
MinLong Peng
Kok-Seng Wong
Khoa D. Doan
SILM
AAML
322
2
0
02 Oct 2023
LEAP: Efficient and Automated Test Method for NLP Software
International Conference on Automated Software Engineering (ASE), 2023
Ming-Ming Xiao
Yan Xiao
Hai Dong
Shunhui Ji
Pengcheng Zhang
AAML
329
15
0
22 Aug 2023
On Evaluating Adversarial Robustness of Large Vision-Language Models
Neural Information Processing Systems (NeurIPS), 2023
Yunqing Zhao
Tianyu Pang
Chao Du
Xiao Yang
Chongxuan Li
Ngai-Man Cheung
Min Lin
VLM
AAML
MLLM
639
306
0
26 May 2023
How to choose your best allies for a transferable attack?
IEEE International Conference on Computer Vision (ICCV), 2023
Thibault Maho
Seyed-Mohsen Moosavi-Dezfooli
Teddy Furon
AAML
363
1
0
05 Apr 2023
Deepfake Text Detection: Limitations and Opportunities
IEEE Symposium on Security and Privacy (IEEE S&P), 2022
Jiameng Pu
Zain Sarwar
Sifat Muhammad Abdullah
A. Rehman
Yoonjin Kim
P. Bhattacharya
M. Javed
Bimal Viswanath
AAML
254
73
0
17 Oct 2022
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Predictions
North American Chapter of the Association for Computational Linguistics (NAACL), 2022
Yong Xie
Dakuo Wang
Pin-Yu Chen
Jinjun Xiong
Sijia Liu
Oluwasanmi Koyejo
AAML
384
26
0
01 May 2022
Threats to Pre-trained Language Models: Survey and Taxonomy
Shangwei Guo
Chunlong Xie
Jiwei Li
Lingjuan Lyu
Tianwei Zhang
PILM
223
36
0
14 Feb 2022
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
670
164
0
15 Dec 2021
Detecting Textual Adversarial Examples through Randomized Substitution and Vote
Xiaosen Wang
Yifeng Xiong
Kun He
AAML
293
15
0
13 Sep 2021
Certified Robustness to Text Adversarial Attacks by Randomized [MASK]
International Conference on Computational Logic (ICCL), 2021
Jiehang Zeng
Xiaoqing Zheng
Jianhan Xu
Linyang Li
Liping Yuan
Xuanjing Huang
AAML
431
95
0
08 May 2021
Token-Modification Adversarial Attacks for Natural Language Processing: A Survey
AI Communications (AI Commun.), 2021
Tom Roth
Yansong Gao
A. Abuadbba
Surya Nepal
Wei Liu
AAML
305
21
0
01 Mar 2021
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GAN
AAML
831
653
0
31 Oct 2017
1
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![Certified Robustness to Text Adversarial Attacks by Randomized [MASK]](https://cdn.parameterlab.de/resized-images/aHR0cHM6Ly9jZG4ucGFyYW1ldGVybGFiLmRlL3BhcGVycy8yMTA1LjAzNzQzL3BhZ2VzL3BhZ2UtMS1xODBkMzAwLmpwZw?w=256&q=75&f=webp)
