Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples

3 March 2018

Papers citing "Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples"

50 / 53 papers shown

Title
SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation Saurabh Kumar Pandey S. Vashistha Debrup Das Somak Aditya Monojit Choudhury AAML 74 0 0 10 Feb 2025
TaeBench: Improving Quality of Toxic Adversarial Examples Xuan Zhu Dmitriy Bespalov Liwen You Ninad Kulkarni Yanjun Qi AAML 63 0 0 08 Oct 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 58 0 0 13 Mar 2024
A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation Sahar Sadrizadeh Ljiljana Dolamic P. Frossard AAML SILM 37 2 0 29 Aug 2023
RADAR: Robust AI-Text Detection via Adversarial Learning Xiaomeng Hu Pin-Yu Chen Tsung-Yi Ho DeLMO 41 108 0 07 Jul 2023
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation Xiaowei Huang Wenjie Ruan Wei Huang Gao Jin Yizhen Dong ... Sihao Wu Peipei Xu Dengyu Wu André Freitas Mustafa A. Mustafa ALM 39 82 0 19 May 2023
Iterative Adversarial Attack on Image-guided Story Ending Generation Youze Wang Wenbo Hu Richang Hong 32 3 0 16 May 2023
Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations D. Martinelli C. Galimberti I. Manchester Luca Furieri Giancarlo Ferrari-Trecate 22 11 0 06 Apr 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Marwan Omar SILM AAML 33 20 0 14 Feb 2023
TransFool: An Adversarial Attack against Neural Machine Translation Models Sahar Sadrizadeh Ljiljana Dolamic P. Frossard SILM AAML 39 12 0 02 Feb 2023
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation Tianxing He Jingyu Zhang Tianle Wang Sachin Kumar Kyunghyun Cho James R. Glass Yulia Tsvetkov 40 44 0 20 Dec 2022
FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness Wenhao Wu Wei Li Jiachen Liu Xinyan Xiao Ziqiang Cao Sujian Li Hua-Hong Wu HILM 30 10 0 01 Nov 2022
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution Aiwei Liu Honghai Yu Xuming Hu Shuang Li Li Lin Fukun Ma Yawen Yang Lijie Wen 33 33 0 31 Oct 2022
Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation Wenhao Wu Wei Li Jiachen Liu Xinyan Xiao Sujian Li Yajuan Lyu 36 3 0 22 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 54 4 0 19 Oct 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview Florian Karl Tobias Pielok Julia Moosbauer Florian Pfisterer Stefan Coors ... Jakob Richter Michel Lang Eduardo C. Garrido-Merchán Juergen Branke B. Bischl AI4CE 26 56 0 15 Jun 2022
The King is Naked: on the Notion of Robustness for Natural Language Processing Emanuele La Malfa Marta Z. Kwiatkowska 20 28 0 13 Dec 2021
Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures Eugene Bagdasaryan Vitaly Shmatikov SILM AAML 27 76 0 09 Dec 2021
Masked Adversarial Generation for Neural Machine Translation Badr Youbi Idrissi S. Clinchant AAML 26 0 0 01 Sep 2021
Spinning Sequence-to-Sequence Models with Meta-Backdoors Eugene Bagdasaryan Vitaly Shmatikov SILM AAML 38 8 0 22 Jul 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP Jiaao Chen Derek Tam Colin Raffel Joey Tianyi Zhou Diyi Yang 28 172 0 14 Jun 2021
Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models Chong Li Ce Zhang Xiaoqing Zheng Xuanjing Huang 11 28 0 31 May 2021
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models Jieyu Lin Jiajie Zou Nai Ding AAML 18 42 0 24 May 2021
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data F. Cartella Orlando Anunciação Yuki Funabiki D. Yamaguchi Toru Akishita Olivier Elshocht AAML 61 71 0 20 Jan 2021
DSRNA: Differentiable Search of Robust Neural Architectures Ramtin Hosseini Xingyi Yang P. Xie OOD AAML 29 50 0 11 Dec 2020
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks Thai Le Noseong Park Dongwon Lee 10 23 0 20 Nov 2020
Multi-document Summarization via Deep Learning Techniques: A Survey Congbo Ma W. Zhang Mingyu Guo Hu Wang Quan Z. Sheng 13 126 0 10 Nov 2020
Explaining Deep Neural Networks Oana-Maria Camburu XAI FAtt 28 26 0 04 Oct 2020
Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble Yi Zhou Xiaoqing Zheng Cho-Jui Hsieh Kai-Wei Chang Xuanjing Huang SILM 39 48 0 20 Jun 2020
Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers I. Fursov A. Zaytsev Nikita Klyuchnikov A. Kravchenko E. Burnaev AAML SILM 29 5 0 19 Jun 2020
Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models Haochen Liu Zhiwei Wang Tyler Derr Jiliang Tang AAML 22 15 0 27 May 2020
Learning Robust Models for e-Commerce Product Search Thanh V. Nguyen Nikhil S. Rao Karthik Subbian CML NoLa OOD 16 20 0 07 May 2020
Reevaluating Adversarial Examples in Natural Language John X. Morris Eli Lifland Jack Lanchantin Yangfeng Ji Yanjun Qi SILM AAML 20 111 0 25 Apr 2020
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models Yankun Ren J. Lin Siliang Tang Jun Zhou Shuang Yang Yuan Qi Xiang Ren GAN AAML SILM 16 21 0 10 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 58 63 0 02 Mar 2020
Robustness Verification for Transformers Zhouxing Shi Huan Zhang Kai-Wei Chang Minlie Huang Cho-Jui Hsieh AAML 19 104 0 16 Feb 2020
A Reinforced Generation of Adversarial Examples for Neural Machine Translation Wei Zou Shujian Huang Jun Xie Xinyu Dai Jiajun Chen AAML SILM 32 26 0 09 Nov 2019
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning Xuanqing Liu Si Si Xiaojin Zhu Yang Li Cho-Jui Hsieh AAML 29 76 0 30 Oct 2019
Say What I Want: Towards the Dark Side of Neural Dialogue Models Haochen Liu Tyler Derr Zitao Liu Jiliang Tang 28 16 0 13 Sep 2019
Universal Adversarial Triggers for Attacking and Analyzing NLP Eric Wallace Shi Feng Nikhil Kandpal Matt Gardner Sameer Singh AAML SILM 43 836 0 20 Aug 2019
POPQORN: Quantifying Robustness of Recurrent Neural Networks Ching-Yun Ko Zhaoyang Lyu Tsui-Wei Weng Luca Daniel Ngai Wong Dahua Lin AAML 17 75 0 17 May 2019
Negative Training for Neural Dialogue Response Generation Tianxing He James R. Glass 30 59 0 06 Mar 2019
Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey W. Zhang Quan Z. Sheng A. Alhazmi Chenliang Li AAML 24 57 0 21 Jan 2019
TextBugger: Generating Adversarial Text Against Real-world Applications Jinfeng Li S. Ji Tianyu Du Bo Li Ting Wang SILM AAML 46 723 0 13 Dec 2018
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification Qi Lei Lingfei Wu Pin-Yu Chen A. Dimakis Inderjit S. Dhillon Michael Witbrock AAML 15 92 0 01 Dec 2018
Attack Graph Convolutional Networks by Adding Fake Nodes Xiaoyun Wang Minhao Cheng Joe Eaton Cho-Jui Hsieh S. F. Wu AAML GNN 25 78 0 25 Oct 2018
Query-Efficient Black-Box Attack by Active Learning Pengcheng Li Jinfeng Yi Lijun Zhang AAML MLAU 21 54 0 13 Sep 2018
Detecting egregious responses in neural sequence-to-sequence models Tianxing He James R. Glass AAML 21 22 0 11 Sep 2018
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models D. Su Huan Zhang Hongge Chen Jinfeng Yi Pin-Yu Chen Yupeng Gao VLM 18 387 0 05 Aug 2018
Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach Minhao Cheng Thong Le Pin-Yu Chen Jinfeng Yi Huan Zhang Cho-Jui Hsieh AAML 26 346 0 12 Jul 2018